wrangle_act.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>wrangle_act</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<style type="text/css">
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
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aside,
details,
figcaption,
figure,
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header,
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video {
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sup {
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sub {
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svg:not(:root) {
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figure {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
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}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<h1> Project: Wrangle and Analyze Data</h1>
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<h3 id="Table-of-Contents">Table of Contents<a class="anchor-link" href="#Table-of-Contents">&#182;</a></h3><ul>
<li>Gathering Data</li>
<li>Assessing Data</li>
<li>Assessment Summary</li>
<li>Cleaning Data</li>
<li>Storing Data</li>
<li>Analysis and Visualizations</li>
<li>References</li>
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<h3 id="Project-Details">Project Details<a class="anchor-link" href="#Project-Details">&#182;</a></h3><p>Tasks in this project are as follows:</p>
<ul>
    <li>Data wrangling, which consists of:</li>
        <ul>
          <li>Gathering Data</li>
           <li>Assessing data</li>
           <li>Cleaning data</li>
         </ul>
    <li>Storing, analyzing, and visualizing your wrangled data</li>
    <li>Reporting on
    <ol>
          <li>your data wrangling efforts and </li>
           <li>your data analyses and visualizations</li>
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<h2 id="Import-Libraries">Import Libraries<a class="anchor-link" href="#Import-Libraries">&#182;</a></h2>
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<div class="prompt input_prompt">In&nbsp;[243]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import the necessary libraries</span>

<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">requests</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">tweepy</span>
<span class="kn">from</span> <span class="nn">tweepy</span> <span class="k">import</span> <span class="n">OAuthHandler</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">from</span> <span class="nn">timeit</span> <span class="k">import</span> <span class="n">default_timer</span> <span class="k">as</span> <span class="n">timer</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">import</span> <span class="nn">re</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="o">%</span> <span class="n">matplotlib</span> <span class="n">inline</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">functools</span> <span class="k">import</span> <span class="n">reduce</span>
<span class="kn">import</span> <span class="nn">datetime</span>
</pre></div>

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<h2 id="Gathering-Data">Gathering Data<a class="anchor-link" href="#Gathering-Data">&#182;</a></h2>
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<div class="prompt input_prompt">In&nbsp;[244]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># read-in the twitter-archive-enhanced-2 file</span>
<span class="n">df_twit_arch</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;twitter-archive-enhanced-2.csv&quot;</span><span class="p">)</span>
<span class="c1"># display the first five rows</span>
<span class="n">df_twit_arch</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>

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<div class="prompt output_prompt">Out[244]:</div>


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    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-30 15:58:51 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891689557...</td>
      <td>13</td>
      <td>10</td>
      <td>Darla</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-29 16:00:24 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891327558...</td>
      <td>12</td>
      <td>10</td>
      <td>Franklin</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># if not already in the folder, Download and save the image prediction file using the link provided</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s1">&#39;image_predictions.tsv&#39;</span><span class="p">):</span>
  <span class="n">url</span> <span class="o">=</span> <span class="s1">&#39;https://d17h27t6h515a5.cloudfront.net/topher/2017/August/599fd2ad_image-predictions/image-predictions.tsv&#39;</span>

  <span class="n">resp</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">url</span><span class="p">)</span>
  <span class="c1"># write file</span>
  <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;image_predictions.tsv&#39;</span><span class="p">,</span> <span class="s1">&#39;wb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
      <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">resp</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># read-in the image_predictions file</span>
<span class="n">df_img_pred</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;image_predictions.tsv&#39;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\t</span><span class="s1">&#39;</span><span class="p">)</span>
<span class="c1"># display the first five rows</span>
<span class="n">df_img_pred</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>666020888022790149</td>
      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>
      <td>1</td>
      <td>Welsh_springer_spaniel</td>
      <td>0.465074</td>
      <td>True</td>
      <td>collie</td>
      <td>0.156665</td>
      <td>True</td>
      <td>Shetland_sheepdog</td>
      <td>0.061428</td>
      <td>True</td>
    </tr>
    <tr>
      <th>1</th>
      <td>666029285002620928</td>
      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>
      <td>1</td>
      <td>redbone</td>
      <td>0.506826</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.074192</td>
      <td>True</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.072010</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2</th>
      <td>666033412701032449</td>
      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>
      <td>1</td>
      <td>German_shepherd</td>
      <td>0.596461</td>
      <td>True</td>
      <td>malinois</td>
      <td>0.138584</td>
      <td>True</td>
      <td>bloodhound</td>
      <td>0.116197</td>
      <td>True</td>
    </tr>
    <tr>
      <th>3</th>
      <td>666044226329800704</td>
      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>
      <td>1</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.408143</td>
      <td>True</td>
      <td>redbone</td>
      <td>0.360687</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.222752</td>
      <td>True</td>
    </tr>
    <tr>
      <th>4</th>
      <td>666049248165822465</td>
      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>
      <td>1</td>
      <td>miniature_pinscher</td>
      <td>0.560311</td>
      <td>True</td>
      <td>Rottweiler</td>
      <td>0.243682</td>
      <td>True</td>
      <td>Doberman</td>
      <td>0.154629</td>
      <td>True</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># read-in the tweet_json file</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;tweet_json.txt&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span>
    <span class="n">df_tweet_json</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_json</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">lines</span><span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">encoding</span> <span class="o">=</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">)</span>

<span class="c1"># display the first five rows</span>
<span class="n">df_tweet_json</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>created_at</th>
      <th>id</th>
      <th>id_str</th>
      <th>full_text</th>
      <th>truncated</th>
      <th>display_text_range</th>
      <th>entities</th>
      <th>extended_entities</th>
      <th>source</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_status_id_str</th>
      <th>in_reply_to_user_id</th>
      <th>in_reply_to_user_id_str</th>
      <th>in_reply_to_screen_name</th>
      <th>user</th>
      <th>geo</th>
      <th>coordinates</th>
      <th>place</th>
      <th>contributors</th>
      <th>is_quote_status</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>favorited</th>
      <th>retweeted</th>
      <th>possibly_sensitive</th>
      <th>possibly_sensitive_appealable</th>
      <th>lang</th>
      <th>retweeted_status</th>
      <th>quoted_status_id</th>
      <th>quoted_status_id_str</th>
      <th>quoted_status_permalink</th>
      <th>quoted_status</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2017-08-01 16:23:56+00:00</td>
      <td>892420643555336193</td>
      <td>892420643555336192</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>False</td>
      <td>[0, 85]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 892420639486877696, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>7315</td>
      <td>34860</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2017-08-01 00:17:27+00:00</td>
      <td>892177421306343426</td>
      <td>892177421306343424</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>False</td>
      <td>[0, 138]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 892177413194625024, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>5465</td>
      <td>30195</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2017-07-31 00:18:03+00:00</td>
      <td>891815181378084864</td>
      <td>891815181378084864</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>False</td>
      <td>[0, 121]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 891815175371796480, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>3605</td>
      <td>22733</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2017-07-30 15:58:51+00:00</td>
      <td>891689557279858688</td>
      <td>891689557279858688</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>False</td>
      <td>[0, 79]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 891689552724799489, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>7505</td>
      <td>38132</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2017-07-29 16:00:24+00:00</td>
      <td>891327558926688256</td>
      <td>891327558926688256</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>False</td>
      <td>[0, 138]</td>
      <td>{'hashtags': [{'text': 'BarkWeek', 'indices': ...</td>
      <td>{'media': [{'id': 891327551943041024, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>8057</td>
      <td>36394</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<h2 id="Assessing-Data">Assessing Data<a class="anchor-link" href="#Assessing-Data">&#182;</a></h2><p>After gathering each of the above pieces of data, assess them visually and programmatically for quality and tidiness issues. Detect and document at least eight (8) quality issues and two (2) tidiness issue.<br>
One of the key points for the analysis requires that only tweets with original ratings with images, no retweets, be retained.</p>

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<h4 id="assessing-twitter-archive-enhanced-dataset">assessing twitter-archive-enhanced dataset<a class="anchor-link" href="#assessing-twitter-archive-enhanced-dataset">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># visually asess the data</span>
<span class="n">df_twit_arch</span>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>timestamp</th>
      <th>source</th>
      <th>text</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>retweeted_status_timestamp</th>
      <th>expanded_urls</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-08-01 16:23:56 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/892420643...</td>
      <td>13</td>
      <td>10</td>
      <td>Phineas</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-08-01 00:17:27 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/892177421...</td>
      <td>13</td>
      <td>10</td>
      <td>Tilly</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-31 00:18:03 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891815181...</td>
      <td>12</td>
      <td>10</td>
      <td>Archie</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-30 15:58:51 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891689557...</td>
      <td>13</td>
      <td>10</td>
      <td>Darla</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-07-29 16:00:24 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/891327558...</td>
      <td>12</td>
      <td>10</td>
      <td>Franklin</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>2351</th>
      <td>666049248165822465</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-16 00:24:50 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here we have a 1949 1st generation vulpix. Enj...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666049248...</td>
      <td>5</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2352</th>
      <td>666044226329800704</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-16 00:04:52 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is a purebred Piers Morgan. Loves to Netf...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666044226...</td>
      <td>6</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2353</th>
      <td>666033412701032449</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 23:21:54 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here is a very happy pup. Big fan of well-main...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666033412...</td>
      <td>9</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2354</th>
      <td>666029285002620928</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 23:05:30 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>This is a western brown Mitsubishi terrier. Up...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666029285...</td>
      <td>7</td>
      <td>10</td>
      <td>a</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>2355</th>
      <td>666020888022790149</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-11-15 22:32:08 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Here we have a Japanese Irish Setter. Lost eye...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>https://twitter.com/dog_rates/status/666020888...</td>
      <td>8</td>
      <td>10</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
  </tbody>
</table>
<p>2356 rows × 17 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_twit_arch</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>None        745
a            55
Charlie      12
Oliver       11
Lucy         11
           ... 
Schnozz       1
Wesley        1
Fletcher      1
Bobby         1
Andy          1
Name: name, Length: 957, dtype: int64</pre>
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<p>Note missing values in the name column represented as None instead of NaN</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check columns data types</span>
<span class="n">df_twit_arch</span><span class="o">.</span><span class="n">dtypes</span>
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<pre>tweet_id                        int64
in_reply_to_status_id         float64
in_reply_to_user_id           float64
timestamp                      object
source                         object
text                           object
retweeted_status_id           float64
retweeted_status_user_id      float64
retweeted_status_timestamp     object
expanded_urls                  object
rating_numerator                int64
rating_denominator              int64
name                           object
doggo                          object
floofer                        object
pupper                         object
puppo                          object
dtype: object</pre>
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<p>Note the timestamp to be of the object datatype which is wrong</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show conscise summary of the twitter-archive-enhanced-2 data</span>
<span class="n">df_twit_arch</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2356 entries, 0 to 2355
Data columns (total 17 columns):
 #   Column                      Non-Null Count  Dtype  
---  ------                      --------------  -----  
 0   tweet_id                    2356 non-null   int64  
 1   in_reply_to_status_id       78 non-null     float64
 2   in_reply_to_user_id         78 non-null     float64
 3   timestamp                   2356 non-null   object 
 4   source                      2356 non-null   object 
 5   text                        2356 non-null   object 
 6   retweeted_status_id         181 non-null    float64
 7   retweeted_status_user_id    181 non-null    float64
 8   retweeted_status_timestamp  181 non-null    object 
 9   expanded_urls               2297 non-null   object 
 10  rating_numerator            2356 non-null   int64  
 11  rating_denominator          2356 non-null   int64  
 12  name                        2356 non-null   object 
 13  doggo                       2356 non-null   object 
 14  floofer                     2356 non-null   object 
 15  pupper                      2356 non-null   object 
 16  puppo                       2356 non-null   object 
dtypes: float64(4), int64(3), object(10)
memory usage: 313.0+ KB
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<span class="p">(</span><span class="n">df_twit_arch</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">df_twit_arch</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">count</span><span class="p">())</span><span class="o">*</span><span class="mi">100</span>
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<pre>tweet_id                       0.000000
in_reply_to_status_id         96.689304
in_reply_to_user_id           96.689304
timestamp                      0.000000
source                         0.000000
text                           0.000000
retweeted_status_id           92.317487
retweeted_status_user_id      92.317487
retweeted_status_timestamp    92.317487
expanded_urls                  2.504244
rating_numerator               0.000000
rating_denominator             0.000000
name                           0.000000
doggo                          0.000000
floofer                        0.000000
pupper                         0.000000
puppo                          0.000000
dtype: float64</pre>
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<p>Note columns that are almost of missing values</p>

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<span class="n">df_twit_arch</span><span class="o">.</span><span class="n">nunique</span><span class="p">()</span>
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<pre>tweet_id                      2356
in_reply_to_status_id           77
in_reply_to_user_id             31
timestamp                     2356
source                           4
text                          2356
retweeted_status_id            181
retweeted_status_user_id        25
retweeted_status_timestamp     181
expanded_urls                 2218
rating_numerator                40
rating_denominator              18
name                           957
doggo                            2
floofer                          2
pupper                           2
puppo                            2
dtype: int64</pre>
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<span class="n">df_twit_arch</span><span class="p">[</span><span class="s1">&#39;rating_denominator&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>10     2333
11        3
50        3
80        2
20        2
2         1
16        1
40        1
70        1
15        1
90        1
110       1
120       1
130       1
150       1
170       1
7         1
0         1
Name: rating_denominator, dtype: int64</pre>
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<span class="n">df_twit_arch</span><span class="p">[</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>12      558
11      464
10      461
13      351
9       158
8       102
7        55
14       54
5        37
6        32
3        19
4        17
1         9
2         9
420       2
0         2
15        2
75        2
80        1
20        1
24        1
26        1
44        1
50        1
60        1
165       1
84        1
88        1
144       1
182       1
143       1
666       1
960       1
1776      1
17        1
27        1
45        1
99        1
121       1
204       1
Name: rating_numerator, dtype: int64</pre>
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<span class="n">df_twit_arch</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s2">&quot;all&quot;</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_user_id</th>
      <th>timestamp</th>
      <th>source</th>
      <th>text</th>
      <th>retweeted_status_id</th>
      <th>retweeted_status_user_id</th>
      <th>retweeted_status_timestamp</th>
      <th>expanded_urls</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>2.356000e+03</td>
      <td>7.800000e+01</td>
      <td>7.800000e+01</td>
      <td>2356</td>
      <td>2356</td>
      <td>2356</td>
      <td>1.810000e+02</td>
      <td>1.810000e+02</td>
      <td>181</td>
      <td>2297</td>
      <td>2356.000000</td>
      <td>2356.000000</td>
      <td>2356</td>
      <td>2356</td>
      <td>2356</td>
      <td>2356</td>
      <td>2356</td>
    </tr>
    <tr>
      <th>unique</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2356</td>
      <td>4</td>
      <td>2356</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>181</td>
      <td>2218</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>957</td>
      <td>2</td>
      <td>2</td>
      <td>2</td>
      <td>2</td>
    </tr>
    <tr>
      <th>top</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2017-02-07 17:00:28 +0000</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>Meet Al Cabone. He's a gangsta puppa. Rather h...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2015-12-16 01:27:03 +0000</td>
      <td>https://twitter.com/dog_rates/status/773308824...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>freq</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1</td>
      <td>2221</td>
      <td>1</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1</td>
      <td>2</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>745</td>
      <td>2259</td>
      <td>2346</td>
      <td>2099</td>
      <td>2326</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.427716e+17</td>
      <td>7.455079e+17</td>
      <td>2.014171e+16</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>7.720400e+17</td>
      <td>1.241698e+16</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>13.126486</td>
      <td>10.455433</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.856705e+16</td>
      <td>7.582492e+16</td>
      <td>1.252797e+17</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>6.236928e+16</td>
      <td>9.599254e+16</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>45.876648</td>
      <td>6.745237</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>6.658147e+17</td>
      <td>1.185634e+07</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>6.661041e+17</td>
      <td>7.832140e+05</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.783989e+17</td>
      <td>6.757419e+17</td>
      <td>3.086374e+08</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>7.186315e+17</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>10.000000</td>
      <td>10.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.196279e+17</td>
      <td>7.038708e+17</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>7.804657e+17</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>11.000000</td>
      <td>10.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.993373e+17</td>
      <td>8.257804e+17</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>8.203146e+17</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>12.000000</td>
      <td>10.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>8.862664e+17</td>
      <td>8.405479e+17</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>8.874740e+17</td>
      <td>7.874618e+17</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1776.000000</td>
      <td>170.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
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<pre>array([[&#34;Here&#39;s a super supportive puppo participating in the Toronto  #WomensMarch today. 13/10 https://t.co/nTz3FtorBc&#34;,
        13],
       [&#39;This is Dex. He can see into your past and future. Mesmerizing af 11/10 https://t.co/0dYI0Cpdge&#39;,
        11],
       [&#39;This is Darla. She commenced a snooze mid meal. 13/10 happens to the best of us https://t.co/tD36da7qLQ&#39;,
        13],
       [&#34;This is Dotsy. She&#39;s stuck as hell. 10/10 https://t.co/A0h4lnhU4s&#34;,
        10],
       [&#34;Meet Lilah. She agreed on one quick pic. Now she&#39;d like to go mentally prepare for the onslaught of fireworks. 11/10 https://t.co/enCpXzZHkD&#34;,
        11],
       [&#34;Say hello to Charlie. He&#39;s scholarly af. Quite intimidating with all his pupper knowledge 10/10 even built that fire https://t.co/9KThv6z8u5&#34;,
        10],
       [&#39;After much debate this dog is being upgraded to 10/10. I repeat 10/10&#39;,
        10],
       [&#34;This is Arlo. He&#39;s officially the king of snowy tongue slips. 13/10 would comfort during inevitable brain freeze https://t.co/oXVu9pNZZv&#34;,
        13],
       [&#39;Say hello to Jazz. She should be on the cover of Vogue. 12/10 gorgeous pupper https://t.co/mVCMemhXAP&#39;,
        12],
       [&#34;Meet Abby. She&#39;s incredibly distracting. Just wants to help steer. Hazardous af. Still 12/10 would pet while driving https://t.co/gLbLiZtwsp&#34;,
        12]], dtype=object)</pre>
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<h4 id="assessing-image_predictions-dataset">assessing image_predictions dataset<a class="anchor-link" href="#assessing-image_predictions-dataset">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># visually asess the data</span>
<span class="n">df_img_pred</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>666020888022790149</td>
      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>
      <td>1</td>
      <td>Welsh_springer_spaniel</td>
      <td>0.465074</td>
      <td>True</td>
      <td>collie</td>
      <td>0.156665</td>
      <td>True</td>
      <td>Shetland_sheepdog</td>
      <td>0.061428</td>
      <td>True</td>
    </tr>
    <tr>
      <th>1</th>
      <td>666029285002620928</td>
      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>
      <td>1</td>
      <td>redbone</td>
      <td>0.506826</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.074192</td>
      <td>True</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.072010</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2</th>
      <td>666033412701032449</td>
      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>
      <td>1</td>
      <td>German_shepherd</td>
      <td>0.596461</td>
      <td>True</td>
      <td>malinois</td>
      <td>0.138584</td>
      <td>True</td>
      <td>bloodhound</td>
      <td>0.116197</td>
      <td>True</td>
    </tr>
    <tr>
      <th>3</th>
      <td>666044226329800704</td>
      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>
      <td>1</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.408143</td>
      <td>True</td>
      <td>redbone</td>
      <td>0.360687</td>
      <td>True</td>
      <td>miniature_pinscher</td>
      <td>0.222752</td>
      <td>True</td>
    </tr>
    <tr>
      <th>4</th>
      <td>666049248165822465</td>
      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>
      <td>1</td>
      <td>miniature_pinscher</td>
      <td>0.560311</td>
      <td>True</td>
      <td>Rottweiler</td>
      <td>0.243682</td>
      <td>True</td>
      <td>Doberman</td>
      <td>0.154629</td>
      <td>True</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>2070</th>
      <td>891327558926688256</td>
      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>
      <td>2</td>
      <td>basset</td>
      <td>0.555712</td>
      <td>True</td>
      <td>English_springer</td>
      <td>0.225770</td>
      <td>True</td>
      <td>German_short-haired_pointer</td>
      <td>0.175219</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2071</th>
      <td>891689557279858688</td>
      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>
      <td>1</td>
      <td>paper_towel</td>
      <td>0.170278</td>
      <td>False</td>
      <td>Labrador_retriever</td>
      <td>0.168086</td>
      <td>True</td>
      <td>spatula</td>
      <td>0.040836</td>
      <td>False</td>
    </tr>
    <tr>
      <th>2072</th>
      <td>891815181378084864</td>
      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>
      <td>1</td>
      <td>Chihuahua</td>
      <td>0.716012</td>
      <td>True</td>
      <td>malamute</td>
      <td>0.078253</td>
      <td>True</td>
      <td>kelpie</td>
      <td>0.031379</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2073</th>
      <td>892177421306343426</td>
      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>
      <td>1</td>
      <td>Chihuahua</td>
      <td>0.323581</td>
      <td>True</td>
      <td>Pekinese</td>
      <td>0.090647</td>
      <td>True</td>
      <td>papillon</td>
      <td>0.068957</td>
      <td>True</td>
    </tr>
    <tr>
      <th>2074</th>
      <td>892420643555336193</td>
      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>
      <td>1</td>
      <td>orange</td>
      <td>0.097049</td>
      <td>False</td>
      <td>bagel</td>
      <td>0.085851</td>
      <td>False</td>
      <td>banana</td>
      <td>0.076110</td>
      <td>False</td>
    </tr>
  </tbody>
</table>
<p>2075 rows × 12 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check the number of correct predictions</span>
<span class="n">df_img_pred</span><span class="p">[</span><span class="s1">&#39;p1_dog&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>True     1532
False     543
Name: p1_dog, dtype: int64</pre>
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<span class="n">df_img_pred</span><span class="p">[</span><span class="s1">&#39;p2_dog&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>True     1553
False     522
Name: p2_dog, dtype: int64</pre>
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<span class="n">df_img_pred</span><span class="p">[</span><span class="s1">&#39;p3_dog&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>True     1499
False     576
Name: p3_dog, dtype: int64</pre>
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<pre>Labrador_retriever    104
golden_retriever       92
Cardigan               73
Chihuahua              44
Pomeranian             42
                     ... 
bagel                   1
waffle_iron             1
brown_bear              1
streetcar               1
racket                  1
Name: p2, Length: 405, dtype: int64</pre>
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<span class="n">df_img_pred</span><span class="o">.</span><span class="n">dtypes</span>
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<pre>tweet_id      int64
jpg_url      object
img_num       int64
p1           object
p1_conf     float64
p1_dog         bool
p2           object
p2_conf     float64
p2_dog         bool
p3           object
p3_conf     float64
p3_dog         bool
dtype: object</pre>
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<span class="n">df_img_pred</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2075 entries, 0 to 2074
Data columns (total 12 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   tweet_id  2075 non-null   int64  
 1   jpg_url   2075 non-null   object 
 2   img_num   2075 non-null   int64  
 3   p1        2075 non-null   object 
 4   p1_conf   2075 non-null   float64
 5   p1_dog    2075 non-null   bool   
 6   p2        2075 non-null   object 
 7   p2_conf   2075 non-null   float64
 8   p2_dog    2075 non-null   bool   
 9   p3        2075 non-null   object 
 10  p3_conf   2075 non-null   float64
 11  p3_dog    2075 non-null   bool   
dtypes: bool(3), float64(3), int64(2), object(4)
memory usage: 152.1+ KB
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<span class="p">(</span><span class="n">df_img_pred</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">df_img_pred</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">count</span><span class="p">())</span><span class="o">*</span><span class="mi">100</span>
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<pre>tweet_id    0.0
jpg_url     0.0
img_num     0.0
p1          0.0
p1_conf     0.0
p1_dog      0.0
p2          0.0
p2_conf     0.0
p2_dog      0.0
p3          0.0
p3_conf     0.0
p3_dog      0.0
dtype: float64</pre>
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<span class="n">df_img_pred</span><span class="o">.</span><span class="n">nunique</span><span class="p">()</span>
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<pre>tweet_id    2075
jpg_url     2009
img_num        4
p1           378
p1_conf     2006
p1_dog         2
p2           405
p2_conf     2004
p2_dog         2
p3           408
p3_conf     2006
p3_dog         2
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Image for tweet_id 666020888022790149 that was correctly predicted</span>
<span class="n">Image</span><span class="p">(</span><span class="n">url</span> <span class="o">=</span> <span class="s1">&#39;https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg&#39;</span><span class="p">)</span>
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<span class="n">df_img_pred</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s2">&quot;all&quot;</span><span class="p">)</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>img_num</th>
      <th>p1</th>
      <th>p1_conf</th>
      <th>p1_dog</th>
      <th>p2</th>
      <th>p2_conf</th>
      <th>p2_dog</th>
      <th>p3</th>
      <th>p3_conf</th>
      <th>p3_dog</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>2.075000e+03</td>
      <td>2075</td>
      <td>2075.000000</td>
      <td>2075</td>
      <td>2075.000000</td>
      <td>2075</td>
      <td>2075</td>
      <td>2.075000e+03</td>
      <td>2075</td>
      <td>2075</td>
      <td>2.075000e+03</td>
      <td>2075</td>
    </tr>
    <tr>
      <th>unique</th>
      <td>NaN</td>
      <td>2009</td>
      <td>NaN</td>
      <td>378</td>
      <td>NaN</td>
      <td>2</td>
      <td>405</td>
      <td>NaN</td>
      <td>2</td>
      <td>408</td>
      <td>NaN</td>
      <td>2</td>
    </tr>
    <tr>
      <th>top</th>
      <td>NaN</td>
      <td>https://pbs.twimg.com/media/CvJCabcWgAIoUxW.jpg</td>
      <td>NaN</td>
      <td>golden_retriever</td>
      <td>NaN</td>
      <td>True</td>
      <td>Labrador_retriever</td>
      <td>NaN</td>
      <td>True</td>
      <td>Labrador_retriever</td>
      <td>NaN</td>
      <td>True</td>
    </tr>
    <tr>
      <th>freq</th>
      <td>NaN</td>
      <td>2</td>
      <td>NaN</td>
      <td>150</td>
      <td>NaN</td>
      <td>1532</td>
      <td>104</td>
      <td>NaN</td>
      <td>1553</td>
      <td>79</td>
      <td>NaN</td>
      <td>1499</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.384514e+17</td>
      <td>NaN</td>
      <td>1.203855</td>
      <td>NaN</td>
      <td>0.594548</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.345886e-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>6.032417e-02</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.785203e+16</td>
      <td>NaN</td>
      <td>0.561875</td>
      <td>NaN</td>
      <td>0.271174</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.006657e-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>5.090593e-02</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>NaN</td>
      <td>0.044333</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.011300e-08</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.740170e-10</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.764835e+17</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>NaN</td>
      <td>0.364412</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>5.388625e-02</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.622240e-02</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.119988e+17</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>NaN</td>
      <td>0.588230</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.181810e-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>4.944380e-02</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.932034e+17</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>NaN</td>
      <td>0.843855</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.955655e-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>9.180755e-02</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>NaN</td>
      <td>4.000000</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>4.880140e-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2.734190e-01</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<h4 id="assessing-tweet_json-dataset">assessing tweet_json dataset<a class="anchor-link" href="#assessing-tweet_json-dataset">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># visually asess the data</span>
<span class="n">df_tweet_json</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>created_at</th>
      <th>id</th>
      <th>id_str</th>
      <th>full_text</th>
      <th>truncated</th>
      <th>display_text_range</th>
      <th>entities</th>
      <th>extended_entities</th>
      <th>source</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_status_id_str</th>
      <th>in_reply_to_user_id</th>
      <th>in_reply_to_user_id_str</th>
      <th>in_reply_to_screen_name</th>
      <th>user</th>
      <th>geo</th>
      <th>coordinates</th>
      <th>place</th>
      <th>contributors</th>
      <th>is_quote_status</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>favorited</th>
      <th>retweeted</th>
      <th>possibly_sensitive</th>
      <th>possibly_sensitive_appealable</th>
      <th>lang</th>
      <th>retweeted_status</th>
      <th>quoted_status_id</th>
      <th>quoted_status_id_str</th>
      <th>quoted_status_permalink</th>
      <th>quoted_status</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2017-08-01 16:23:56+00:00</td>
      <td>892420643555336193</td>
      <td>892420643555336192</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>False</td>
      <td>[0, 85]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 892420639486877696, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>7315</td>
      <td>34860</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2017-08-01 00:17:27+00:00</td>
      <td>892177421306343426</td>
      <td>892177421306343424</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>False</td>
      <td>[0, 138]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 892177413194625024, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>5465</td>
      <td>30195</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2017-07-31 00:18:03+00:00</td>
      <td>891815181378084864</td>
      <td>891815181378084864</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>False</td>
      <td>[0, 121]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 891815175371796480, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>3605</td>
      <td>22733</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2017-07-30 15:58:51+00:00</td>
      <td>891689557279858688</td>
      <td>891689557279858688</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>False</td>
      <td>[0, 79]</td>
      <td>{'hashtags': [], 'symbols': [], 'user_mentions...</td>
      <td>{'media': [{'id': 891689552724799489, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>7505</td>
      <td>38132</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2017-07-29 16:00:24+00:00</td>
      <td>891327558926688256</td>
      <td>891327558926688256</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>False</td>
      <td>[0, 138]</td>
      <td>{'hashtags': [{'text': 'BarkWeek', 'indices': ...</td>
      <td>{'media': [{'id': 891327551943041024, 'id_str'...</td>
      <td>&lt;a href="http://twitter.com/download/iphone" r...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>{'id': 4196983835, 'id_str': '4196983835', 'na...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>None</td>
      <td>NaN</td>
      <td>False</td>
      <td>8057</td>
      <td>36394</td>
      <td>False</td>
      <td>False</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>en</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check columns data types</span>
<span class="n">df_tweet_json</span><span class="o">.</span><span class="n">dtypes</span>
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<pre>created_at                       datetime64[ns, UTC]
id                                             int64
id_str                                         int64
full_text                                     object
truncated                                       bool
display_text_range                            object
entities                                      object
extended_entities                             object
source                                        object
in_reply_to_status_id                        float64
in_reply_to_status_id_str                    float64
in_reply_to_user_id                          float64
in_reply_to_user_id_str                      float64
in_reply_to_screen_name                       object
user                                          object
geo                                          float64
coordinates                                  float64
place                                         object
contributors                                 float64
is_quote_status                                 bool
retweet_count                                  int64
favorite_count                                 int64
favorited                                       bool
retweeted                                       bool
possibly_sensitive                           float64
possibly_sensitive_appealable                float64
lang                                          object
retweeted_status                              object
quoted_status_id                             float64
quoted_status_id_str                         float64
quoted_status_permalink                       object
quoted_status                                 object
dtype: object</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show conscise summary of the twitter_json data</span>
<span class="n">df_tweet_json</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2330 entries, 0 to 2329
Data columns (total 32 columns):
 #   Column                         Non-Null Count  Dtype              
---  ------                         --------------  -----              
 0   created_at                     2330 non-null   datetime64[ns, UTC]
 1   id                             2330 non-null   int64              
 2   id_str                         2330 non-null   int64              
 3   full_text                      2330 non-null   object             
 4   truncated                      2330 non-null   bool               
 5   display_text_range             2330 non-null   object             
 6   entities                       2330 non-null   object             
 7   extended_entities              2058 non-null   object             
 8   source                         2330 non-null   object             
 9   in_reply_to_status_id          77 non-null     float64            
 10  in_reply_to_status_id_str      77 non-null     float64            
 11  in_reply_to_user_id            77 non-null     float64            
 12  in_reply_to_user_id_str        77 non-null     float64            
 13  in_reply_to_screen_name        77 non-null     object             
 14  user                           2330 non-null   object             
 15  geo                            0 non-null      float64            
 16  coordinates                    0 non-null      float64            
 17  place                          1 non-null      object             
 18  contributors                   0 non-null      float64            
 19  is_quote_status                2330 non-null   bool               
 20  retweet_count                  2330 non-null   int64              
 21  favorite_count                 2330 non-null   int64              
 22  favorited                      2330 non-null   bool               
 23  retweeted                      2330 non-null   bool               
 24  possibly_sensitive             2196 non-null   float64            
 25  possibly_sensitive_appealable  2196 non-null   float64            
 26  lang                           2330 non-null   object             
 27  retweeted_status               163 non-null    object             
 28  quoted_status_id               26 non-null     float64            
 29  quoted_status_id_str           26 non-null     float64            
 30  quoted_status_permalink        26 non-null     object             
 31  quoted_status                  24 non-null     object             
dtypes: bool(4), datetime64[ns, UTC](1), float64(11), int64(4), object(12)
memory usage: 518.9+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check the most frequent source</span>
<span class="n">df_tweet_json</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>&lt;a href=&#34;http://twitter.com/download/iphone&#34; rel=&#34;nofollow&#34;&gt;Twitter for iPhone&lt;/a&gt;     2196
&lt;a href=&#34;http://vine.co&#34; rel=&#34;nofollow&#34;&gt;Vine - Make a Scene&lt;/a&gt;                          91
&lt;a href=&#34;http://twitter.com&#34; rel=&#34;nofollow&#34;&gt;Twitter Web Client&lt;/a&gt;                       33
&lt;a href=&#34;https://about.twitter.com/products/tweetdeck&#34; rel=&#34;nofollow&#34;&gt;TweetDeck&lt;/a&gt;      10
Name: source, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># # count for original tweet and retweet</span>
<span class="c1"># df_tweet_json.retweeted_status.value_counts()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check percentage of missing values</span>
<span class="p">(</span><span class="n">df_tweet_json</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">df_tweet_json</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">count</span><span class="p">())</span><span class="o">*</span><span class="mi">100</span>
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<pre>created_at                         0.000000
id                                 0.000000
id_str                             0.000000
full_text                          0.000000
truncated                          0.000000
display_text_range                 0.000000
entities                           0.000000
extended_entities                 11.673820
source                             0.000000
in_reply_to_status_id             96.695279
in_reply_to_status_id_str         96.695279
in_reply_to_user_id               96.695279
in_reply_to_user_id_str           96.695279
in_reply_to_screen_name           96.695279
user                               0.000000
geo                              100.000000
coordinates                      100.000000
place                             99.957082
contributors                     100.000000
is_quote_status                    0.000000
retweet_count                      0.000000
favorite_count                     0.000000
favorited                          0.000000
retweeted                          0.000000
possibly_sensitive                 5.751073
possibly_sensitive_appealable      5.751073
lang                               0.000000
retweeted_status                  93.004292
quoted_status_id                  98.884120
quoted_status_id_str              98.884120
quoted_status_permalink           98.884120
quoted_status                     98.969957
dtype: float64</pre>
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<p>Note columns that are almost of missing values</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show basic statistics of the df_tweet_json data </span>
<span class="n">df_tweet_json</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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        vertical-align: middle;
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    }

    .dataframe thead th {
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>id_str</th>
      <th>in_reply_to_status_id</th>
      <th>in_reply_to_status_id_str</th>
      <th>in_reply_to_user_id</th>
      <th>in_reply_to_user_id_str</th>
      <th>geo</th>
      <th>coordinates</th>
      <th>contributors</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>possibly_sensitive</th>
      <th>possibly_sensitive_appealable</th>
      <th>quoted_status_id</th>
      <th>quoted_status_id_str</th>
    </tr>
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    <tr>
      <th>count</th>
      <td>2.330000e+03</td>
      <td>2.330000e+03</td>
      <td>7.700000e+01</td>
      <td>7.700000e+01</td>
      <td>7.700000e+01</td>
      <td>7.700000e+01</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>2330.000000</td>
      <td>2330.000000</td>
      <td>2196.0</td>
      <td>2196.0</td>
      <td>2.600000e+01</td>
      <td>2.600000e+01</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>7.419357e+17</td>
      <td>7.419357e+17</td>
      <td>7.440692e+17</td>
      <td>7.440692e+17</td>
      <td>2.040329e+16</td>
      <td>2.040329e+16</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2573.819742</td>
      <td>7282.009013</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>8.113972e+17</td>
      <td>8.113972e+17</td>
    </tr>
    <tr>
      <th>std</th>
      <td>6.823308e+16</td>
      <td>6.823308e+16</td>
      <td>7.524295e+16</td>
      <td>7.524295e+16</td>
      <td>1.260797e+17</td>
      <td>1.260797e+17</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>4353.406503</td>
      <td>11310.644578</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>6.295843e+16</td>
      <td>6.295843e+16</td>
    </tr>
    <tr>
      <th>min</th>
      <td>6.660209e+17</td>
      <td>6.660209e+17</td>
      <td>6.658147e+17</td>
      <td>6.658147e+17</td>
      <td>1.185634e+07</td>
      <td>1.185634e+07</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1.000000</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>6.721083e+17</td>
      <td>6.721083e+17</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>6.782926e+17</td>
      <td>6.782926e+17</td>
      <td>6.757073e+17</td>
      <td>6.757073e+17</td>
      <td>3.589728e+08</td>
      <td>3.589728e+08</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>521.500000</td>
      <td>1260.000000</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>7.761338e+17</td>
      <td>7.761338e+17</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>7.183508e+17</td>
      <td>7.183508e+17</td>
      <td>7.032559e+17</td>
      <td>7.032559e+17</td>
      <td>4.196984e+09</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1201.000000</td>
      <td>3155.000000</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>8.281173e+17</td>
      <td>8.281173e+17</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>7.986712e+17</td>
      <td>7.986712e+17</td>
      <td>8.233264e+17</td>
      <td>8.233264e+17</td>
      <td>4.196984e+09</td>
      <td>4.196984e+09</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2980.000000</td>
      <td>8897.500000</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>8.637581e+17</td>
      <td>8.637581e+17</td>
    </tr>
    <tr>
      <th>max</th>
      <td>8.924206e+17</td>
      <td>8.924206e+17</td>
      <td>8.862664e+17</td>
      <td>8.862664e+17</td>
      <td>8.405479e+17</td>
      <td>8.405479e+17</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>73824.000000</td>
      <td>149760.000000</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>8.860534e+17</td>
      <td>8.860534e+17</td>
    </tr>
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<h2 id="Assessment-Summary">Assessment Summary<a class="anchor-link" href="#Assessment-Summary">&#182;</a></h2><h3 id="Quality-Issues">Quality Issues<a class="anchor-link" href="#Quality-Issues">&#182;</a></h3><p>twitter-archive-enhanced dataset</p>
<ol>
<li>The <code>timestamp</code> column has the <code>object</code> datatype instead of <code>datetime</code></li>
<li>The <code>name</code> column has None instead of <code>NaN</code> and also too many invalid values.</li>
<li>The interest only is on original tweet and not retweet, therefore retweets and replies should be removed from the data.</li>
<li><code>in_reply_to_status_id</code>, <code>in_reply_to_user_id</code>, <code>retweeted_status_id</code>,
<code>retweeted_status_user_id</code> and <code>retweeted_status_timestamp</code> columns are constituted of over 90% missing values and therefore should be dropped</li>
<li>The <code>rating_numerator</code> column contains some wrongly extracted values and should be corrected</li>
<li>The doggo, floofer, pupper and puppo columns has None for missing values. This should as well be corrected</li>
</ol>
<p>image_predictions dataset</p>
<ol>
<li>The img_num column should be dropped as it is not really serving any purpose and also the columns (p1, p1_dog, p1_conf and so on) should be just breed and confidence.</li>
<li>The prediction dog breeds involve both uppercase and lowercase for the first letter. There should be consistency in the name format. </li>
</ol>
<p>tweet_json<br></p>
<ol>
<li>A lot of columns are useless in the dataset as they were made up of missing values. These columns should be dropped. Also, the number of columns in <code>df_tweet_json</code>  are too many and should be reduced  to tweet ID, retweet count,favorite count and Source</li>
<li>The <code>source</code> column has not been properly extracted as it contains the html tag <code>&lt;a&gt;</code>. This should be corrected</li>
<li>The id column name should be made to match that of twitter achive enhanced</li>
</ol>
<h2 id="Tidiness-Issues">Tidiness Issues<a class="anchor-link" href="#Tidiness-Issues">&#182;</a></h2><ul>
<li>The doggo, floofer, pupper and puppo columns should be made into one categorical variable</li>
<li>There are 2075 image predictions, 281 less than the number of tweets in the twitter-archive-enhanced dataset (2356), so will be classified as "missing data".</li>
<li>The twitter-archive-enhanced, image_predictions, and tweet_json dataframes should be made into a dataset.</li>
</ul>

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<h2 id="Cleaning-Data">Cleaning Data<a class="anchor-link" href="#Cleaning-Data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># make copies of individual dataframes to perform the cleaning on</span>
<span class="n">twitter_archive_df</span> <span class="o">=</span> <span class="n">df_twit_arch</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">image_prediction_df</span> <span class="o">=</span> <span class="n">df_img_pred</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">tweet_json_df</span> <span class="o">=</span> <span class="n">df_tweet_json</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
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<h4 id="Define_1:">Define_1:<a class="anchor-link" href="#Define_1:">&#182;</a></h4><p>The timestamp column has the object datatype and should be converted into  datetime</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;timestamp&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;timestamp&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;timestamp&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">dtypes</span>
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<pre>datetime64[ns, UTC]</pre>
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<h4 id="Define_2:">Define_2:<a class="anchor-link" href="#Define_2:">&#182;</a></h4><p>The name column has None instead of NaN and also too many invalid values. This should be corrected by regarding all None and invalid values as NaN</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># replace all invalid names from with None to later be handled as NaN</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;^[a-z]+&#39;</span><span class="p">,</span> <span class="s1">&#39;None&#39;</span><span class="p">)</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">({</span><span class="s2">&quot;None&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">},</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># count number of time each names now appear and see if the &#39;None&#39; is there</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Charlie     12
Oliver      11
Lucy        11
Cooper      11
Penny       10
            ..
Fletcher     1
Bobby        1
Dug          1
Ridley       1
Andy         1
Name: name, Length: 931, dtype: int64</pre>
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<h4 id="Define_3:">Define_3:<a class="anchor-link" href="#Define_3:">&#182;</a></h4><p>The interest only is on original tweet and not retweet, therefore retweets and replies should be removed from the data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># considerrows with missing values in the retweets columns as original tweet</span>

<span class="n">twitter_archive_df</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;in_reply_to_status_id == &quot;NaN&quot; &amp; retweeted_status_user_id == &quot;NaN&quot; &amp; in_reply_to_user_id == &quot;NaN&quot; &amp; retweeted_status_id == &quot;NaN&quot;&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check if nonnull values are still in the retweet columns</span>
<span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2097 entries, 0 to 2355
Data columns (total 17 columns):
 #   Column                      Non-Null Count  Dtype              
---  ------                      --------------  -----              
 0   tweet_id                    2097 non-null   int64              
 1   in_reply_to_status_id       0 non-null      float64            
 2   in_reply_to_user_id         0 non-null      float64            
 3   timestamp                   2097 non-null   datetime64[ns, UTC]
 4   source                      2097 non-null   object             
 5   text                        2097 non-null   object             
 6   retweeted_status_id         0 non-null      float64            
 7   retweeted_status_user_id    0 non-null      float64            
 8   retweeted_status_timestamp  0 non-null      object             
 9   expanded_urls               2094 non-null   object             
 10  rating_numerator            2097 non-null   int64              
 11  rating_denominator          2097 non-null   int64              
 12  name                        1390 non-null   object             
 13  doggo                       2097 non-null   object             
 14  floofer                     2097 non-null   object             
 15  pupper                      2097 non-null   object             
 16  puppo                       2097 non-null   object             
dtypes: datetime64[ns, UTC](1), float64(4), int64(3), object(9)
memory usage: 294.9+ KB
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<h4 id="Define_4:">Define_4:<a class="anchor-link" href="#Define_4:">&#182;</a></h4><p>in_reply_to_status_id, in_reply_to_user_id, retweeted_status_id, retweeted_status_user_id and retweeted_status_timestamp columns are constituted of over 90% missing values and therefore should be dropped. Columns that are of no interest would also be dropped</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># list columns to be dropped</span>
<span class="n">cols</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;in_reply_to_status_id&#39;</span><span class="p">,</span><span class="s1">&#39;in_reply_to_user_id&#39;</span><span class="p">,</span><span class="s1">&#39;retweeted_status_id&#39;</span><span class="p">,</span> <span class="s1">&#39;retweeted_status_user_id&#39;</span><span class="p">,</span> <span class="s1">&#39;retweeted_status_timestamp&#39;</span><span class="p">,</span><span class="s1">&#39;source&#39;</span><span class="p">,</span><span class="s1">&#39;expanded_urls&#39;</span><span class="p">]</span>
<span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="n">cols</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># confirm they have been dropped and also check for missing values</span>
<span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 2097 entries, 0 to 2355
Data columns (total 10 columns):
 #   Column              Non-Null Count  Dtype              
---  ------              --------------  -----              
 0   tweet_id            2097 non-null   int64              
 1   timestamp           2097 non-null   datetime64[ns, UTC]
 2   text                2097 non-null   object             
 3   rating_numerator    2097 non-null   int64              
 4   rating_denominator  2097 non-null   int64              
 5   name                1390 non-null   object             
 6   doggo               2097 non-null   object             
 7   floofer             2097 non-null   object             
 8   pupper              2097 non-null   object             
 9   puppo               2097 non-null   object             
dtypes: datetime64[ns, UTC](1), int64(3), object(6)
memory usage: 180.2+ KB
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<h4 id="Define_5:">Define_5:<a class="anchor-link" href="#Define_5:">&#182;</a></h4><p>The <code>rating_numerator</code> column contains some wrongly extracted values and should be corrected</p>

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<h5 id="Code:">Code:<a class="anchor-link" href="#Code:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># get where the numerators doesn&#39;t match</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;(\d+\.\d*\/\d+)&quot;</span><span class="p">)][[</span><span class="s1">&#39;text&#39;</span><span class="p">,</span> <span class="s1">&#39;rating_numerator&#39;</span><span class="p">]]</span>
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<pre>/usr/local/lib/python3.7/dist-packages/pandas/core/strings.py:2001: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.
  return func(self, *args, **kwargs)
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    }

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<table border="1" class="dataframe">
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      <th></th>
      <th>text</th>
      <th>rating_numerator</th>
    </tr>
  </thead>
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    <tr>
      <th>45</th>
      <td>This is Bella. She hopes her smile made you sm...</td>
      <td>5</td>
    </tr>
    <tr>
      <th>695</th>
      <td>This is Logan, the Chow who lived. He solemnly...</td>
      <td>75</td>
    </tr>
    <tr>
      <th>763</th>
      <td>This is Sophie. She's a Jubilant Bush Pupper. ...</td>
      <td>27</td>
    </tr>
    <tr>
      <th>1712</th>
      <td>Here we have uncovered an entire battalion of ...</td>
      <td>26</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">correct_rating</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="p">[</span><span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;(\d+\.\d*\/\d+)&quot;</span><span class="p">)][</span><span class="s1">&#39;text&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="sa">r</span><span class="s2">&quot;(\d+\.\d*(?=\/\d+))&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">correct_rating</span><span class="p">)</span>
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<pre>          0
45     13.5
695    9.75
763   11.27
1712  11.26
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<pre>/usr/local/lib/python3.7/dist-packages/pandas/core/strings.py:2001: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.
  return func(self, *args, **kwargs)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># assign the correct ratings to their appropriate rows</span>
<span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">correct_rating</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">correct_rating</span><span class="o">.</span><span class="n">values</span>
<span class="c1"># datatype to float</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;rating_numerator&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float&#39;</span><span class="p">)</span>
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<h5 id="Test:">Test:<a class="anchor-link" href="#Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check the corrected rows</span>
<span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">correct_rating</span><span class="o">.</span><span class="n">index</span><span class="p">]</span>
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<table border="1" class="dataframe">
  <thead>
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      <th></th>
      <th>tweet_id</th>
      <th>timestamp</th>
      <th>text</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>doggo</th>
      <th>floofer</th>
      <th>pupper</th>
      <th>puppo</th>
    </tr>
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      <th>45</th>
      <td>883482846933004288</td>
      <td>2017-07-08 00:28:19+00:00</td>
      <td>This is Bella. She hopes her smile made you sm...</td>
      <td>13.50</td>
      <td>10</td>
      <td>Bella</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
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      <th>695</th>
      <td>786709082849828864</td>
      <td>2016-10-13 23:23:56+00:00</td>
      <td>This is Logan, the Chow who lived. He solemnly...</td>
      <td>9.75</td>
      <td>10</td>
      <td>Logan</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
    <tr>
      <th>763</th>
      <td>778027034220126208</td>
      <td>2016-09-20 00:24:34+00:00</td>
      <td>This is Sophie. She's a Jubilant Bush Pupper. ...</td>
      <td>11.27</td>
      <td>10</td>
      <td>Sophie</td>
      <td>None</td>
      <td>None</td>
      <td>pupper</td>
      <td>None</td>
    </tr>
    <tr>
      <th>1712</th>
      <td>680494726643068929</td>
      <td>2015-12-25 21:06:00+00:00</td>
      <td>Here we have uncovered an entire battalion of ...</td>
      <td>11.26</td>
      <td>10</td>
      <td>NaN</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
      <td>None</td>
    </tr>
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<h4 id="Define_6:">Define_6:<a class="anchor-link" href="#Define_6:">&#182;</a></h4><p>The source column has not been properly extracted as it contains the html tag <code>&lt;a&gt;</code>. This should be corrected and properly extracted</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># have a look again</span>
<span class="n">tweet_json_df</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>&lt;a href=&#34;http://twitter.com/download/iphone&#34; rel=&#34;nofollow&#34;&gt;Twitter for iPhone&lt;/a&gt;     2196
&lt;a href=&#34;http://vine.co&#34; rel=&#34;nofollow&#34;&gt;Vine - Make a Scene&lt;/a&gt;                          91
&lt;a href=&#34;http://twitter.com&#34; rel=&#34;nofollow&#34;&gt;Twitter Web Client&lt;/a&gt;                       33
&lt;a href=&#34;https://about.twitter.com/products/tweetdeck&#34; rel=&#34;nofollow&#34;&gt;TweetDeck&lt;/a&gt;      10
Name: source, dtype: int64</pre>
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<p>Reference: <a href="https://pandas.pydata.org/docs/reference/api/pandas.Series.str.extract.html">https://pandas.pydata.org/docs/reference/api/pandas.Series.str.extract.html</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># extract the correct sources by creating group from any line starting with &lt; followed by &#39;a&#39; and many or more characters and ends with &lt;/a&gt;  </span>
<span class="n">tweet_json_df</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tweet_json_df</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="s1">&#39;^&lt;a.+&gt;(.+)&lt;/a&gt;$&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># have a look again</span>
<span class="n">tweet_json_df</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Twitter for iPhone     2196
Vine - Make a Scene      91
Twitter Web Client       33
TweetDeck                10
Name: source, dtype: int64</pre>
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<h4 id="Define_7:">Define_7:<a class="anchor-link" href="#Define_7:">&#182;</a></h4><p>A lot of columns are useless in the tweet_json_df dataset as they were made up of missing values. These columns should be dropped and also the dataset be reduced to tweet ID, retweet count,favorite count and Source</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tweet_json_df</span><span class="o">.</span><span class="n">columns</span>
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<pre>Index([&#39;created_at&#39;, &#39;id&#39;, &#39;id_str&#39;, &#39;full_text&#39;, &#39;truncated&#39;,
       &#39;display_text_range&#39;, &#39;entities&#39;, &#39;extended_entities&#39;, &#39;source&#39;,
       &#39;in_reply_to_status_id&#39;, &#39;in_reply_to_status_id_str&#39;,
       &#39;in_reply_to_user_id&#39;, &#39;in_reply_to_user_id_str&#39;,
       &#39;in_reply_to_screen_name&#39;, &#39;user&#39;, &#39;geo&#39;, &#39;coordinates&#39;, &#39;place&#39;,
       &#39;contributors&#39;, &#39;is_quote_status&#39;, &#39;retweet_count&#39;, &#39;favorite_count&#39;,
       &#39;favorited&#39;, &#39;retweeted&#39;, &#39;possibly_sensitive&#39;,
       &#39;possibly_sensitive_appealable&#39;, &#39;lang&#39;, &#39;retweeted_status&#39;,
       &#39;quoted_status_id&#39;, &#39;quoted_status_id_str&#39;, &#39;quoted_status_permalink&#39;,
       &#39;quoted_status&#39;],
      dtype=&#39;object&#39;)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># select &#39;id&#39;,&#39;retweet_count&#39;, &#39;favorite_count&#39;,&#39;source&#39;</span>
<span class="n">tweet_json_df</span> <span class="o">=</span> <span class="n">tweet_json_df</span><span class="p">[[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span><span class="s1">&#39;retweet_count&#39;</span><span class="p">,</span> <span class="s1">&#39;favorite_count&#39;</span><span class="p">,</span><span class="s1">&#39;source&#39;</span><span class="p">]]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># see the columns present</span>
<span class="n">tweet_json_df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 2330 entries, 0 to 2329
Data columns (total 4 columns):
 #   Column          Non-Null Count  Dtype 
---  ------          --------------  ----- 
 0   id              2330 non-null   int64 
 1   retweet_count   2330 non-null   int64 
 2   favorite_count  2330 non-null   int64 
 3   source          2330 non-null   object
dtypes: int64(3), object(1)
memory usage: 72.9+ KB
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<h4 id="Define_8:">Define_8:<a class="anchor-link" href="#Define_8:">&#182;</a></h4><p>The doggo, floofer, pupper and puppo columns should be made into one categorical variable and also np.nan inplace of None</p>

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<p>Ref: <a href="https://pandas.pydata.org/docs/reference/api/pandas.Series.str.cat.html">https://pandas.pydata.org/docs/reference/api/pandas.Series.str.cat.html</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># create new temprary columns with the None removed</span>
<span class="n">dog_stage</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;doggo&#39;</span><span class="p">,</span><span class="s1">&#39;pupper&#39;</span><span class="p">,</span> <span class="s1">&#39;floofer&#39;</span><span class="p">,</span> <span class="s1">&#39;puppo&#39;</span> <span class="p">]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">dog_stage</span><span class="p">:</span>
        <span class="n">twitter_archive_df</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;None&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># concatenates the Series of twitter_archive_df.doggo and elements of others element-wise</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">doggo</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">floofer</span><span class="p">)</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">pupper</span><span class="p">)</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">puppo</span><span class="p">)</span>
<span class="c1"># the temporary columns are dropped</span>
<span class="n">twitter_archive_df</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;doggo&#39;</span><span class="p">,</span><span class="s1">&#39;floofer&#39;</span><span class="p">,</span><span class="s1">&#39;pupper&#39;</span><span class="p">,</span><span class="s1">&#39;puppo&#39;</span><span class="p">],</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
<span class="c1"># use np.nan to fill the empty</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
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<h5 id="Test:">Test:<a class="anchor-link" href="#Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show the first 30 rows</span>
<span class="n">twitter_archive_df</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">30</span><span class="p">)</span>
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<pre>0        NaN
1        NaN
2        NaN
3        NaN
4        NaN
5        NaN
6        NaN
7        NaN
8        NaN
9      doggo
10       NaN
11       NaN
12     puppo
13       NaN
14     puppo
15       NaN
16       NaN
17       NaN
18       NaN
20       NaN
21       NaN
22       NaN
23       NaN
24       NaN
25       NaN
26       NaN
27       NaN
28       NaN
29    pupper
31       NaN
Name: dog_stage, dtype: object</pre>
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<h4 id="Define_9:">Define_9:<a class="anchor-link" href="#Define_9:">&#182;</a></h4><p><em>The</em> img_num column in image_prediction dataset should be dropped as it is really of no use and also the columns (p1, p1_dog, p1_conf and so on) should be just breed and confidence. A new breed name should be generated basedon the highest confidence of prediction</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_prediction_df</span><span class="p">[</span><span class="s1">&#39;dog_breed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;None&#39;</span>

<span class="n">breed</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">confidence</span> <span class="o">=</span> <span class="p">[]</span>
<span class="c1"># iterating over image_prediction_df row by row and taking the highest confident prediction other wise np.nan</span>
<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">image_prediction_df</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_dog&#39;</span><span class="p">]</span> <span class="ow">and</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_conf&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="nb">max</span><span class="p">([</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_conf&#39;</span><span class="p">]]):</span>
        <span class="n">breed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1&#39;</span><span class="p">])</span>
        <span class="n">confidence</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_conf&#39;</span><span class="p">])</span>
    <span class="k">elif</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_dog&#39;</span><span class="p">]</span> <span class="ow">and</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_conf&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="nb">max</span><span class="p">([</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_conf&#39;</span><span class="p">]]):</span>
        <span class="n">breed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2&#39;</span><span class="p">])</span>
        <span class="n">confidence</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_conf&#39;</span><span class="p">])</span>
    <span class="k">elif</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_dog&#39;</span><span class="p">]</span> <span class="ow">and</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_conf&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="nb">max</span><span class="p">([</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p1_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p2_conf&#39;</span><span class="p">],</span> <span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_conf&#39;</span><span class="p">]]):</span>
        <span class="n">breed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3&#39;</span><span class="p">])</span>
        <span class="n">confidence</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">&#39;p3_conf&#39;</span><span class="p">])</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="n">breed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
        <span class="n">confidence</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
        
<span class="n">image_prediction_df</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">breed</span>
<span class="n">image_prediction_df</span><span class="p">[</span><span class="s1">&#39;confidence&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">confidence</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># select the newly created columns which automatically drops other columns</span>
<span class="n">image_prediction_df</span> <span class="o">=</span> <span class="n">image_prediction_df</span><span class="p">[[</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">,</span> <span class="s1">&#39;jpg_url&#39;</span><span class="p">,</span> <span class="s1">&#39;breed&#39;</span><span class="p">,</span> <span class="s1">&#39;confidence&#39;</span><span class="p">]]</span>
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<h5 id="Test:">Test:<a class="anchor-link" href="#Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show the first 30 row</span>
<span class="n">image_prediction_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">30</span><span class="p">)</span>
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        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

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        text-align: right;
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>breed</th>
      <th>confidence</th>
    </tr>
  </thead>
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    <tr>
      <th>0</th>
      <td>666020888022790149</td>
      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>
      <td>Welsh_springer_spaniel</td>
      <td>0.465074</td>
    </tr>
    <tr>
      <th>1</th>
      <td>666029285002620928</td>
      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>
      <td>redbone</td>
      <td>0.506826</td>
    </tr>
    <tr>
      <th>2</th>
      <td>666033412701032449</td>
      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>
      <td>German_shepherd</td>
      <td>0.596461</td>
    </tr>
    <tr>
      <th>3</th>
      <td>666044226329800704</td>
      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.408143</td>
    </tr>
    <tr>
      <th>4</th>
      <td>666049248165822465</td>
      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>
      <td>miniature_pinscher</td>
      <td>0.560311</td>
    </tr>
    <tr>
      <th>5</th>
      <td>666050758794694657</td>
      <td>https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg</td>
      <td>Bernese_mountain_dog</td>
      <td>0.651137</td>
    </tr>
    <tr>
      <th>6</th>
      <td>666051853826850816</td>
      <td>https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>7</th>
      <td>666055525042405380</td>
      <td>https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg</td>
      <td>chow</td>
      <td>0.692517</td>
    </tr>
    <tr>
      <th>8</th>
      <td>666057090499244032</td>
      <td>https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>9</th>
      <td>666058600524156928</td>
      <td>https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg</td>
      <td>miniature_poodle</td>
      <td>0.201493</td>
    </tr>
    <tr>
      <th>10</th>
      <td>666063827256086533</td>
      <td>https://pbs.twimg.com/media/CT5Vg_wXIAAXfnj.jpg</td>
      <td>golden_retriever</td>
      <td>0.775930</td>
    </tr>
    <tr>
      <th>11</th>
      <td>666071193221509120</td>
      <td>https://pbs.twimg.com/media/CT5cN_3WEAAlOoZ.jpg</td>
      <td>Gordon_setter</td>
      <td>0.503672</td>
    </tr>
    <tr>
      <th>12</th>
      <td>666073100786774016</td>
      <td>https://pbs.twimg.com/media/CT5d9DZXAAALcwe.jpg</td>
      <td>Walker_hound</td>
      <td>0.260857</td>
    </tr>
    <tr>
      <th>13</th>
      <td>666082916733198337</td>
      <td>https://pbs.twimg.com/media/CT5m4VGWEAAtKc8.jpg</td>
      <td>pug</td>
      <td>0.489814</td>
    </tr>
    <tr>
      <th>14</th>
      <td>666094000022159362</td>
      <td>https://pbs.twimg.com/media/CT5w9gUW4AAsBNN.jpg</td>
      <td>bloodhound</td>
      <td>0.195217</td>
    </tr>
    <tr>
      <th>15</th>
      <td>666099513787052032</td>
      <td>https://pbs.twimg.com/media/CT51-JJUEAA6hV8.jpg</td>
      <td>Lhasa</td>
      <td>0.582330</td>
    </tr>
    <tr>
      <th>16</th>
      <td>666102155909144576</td>
      <td>https://pbs.twimg.com/media/CT54YGiWUAEZnoK.jpg</td>
      <td>English_setter</td>
      <td>0.298617</td>
    </tr>
    <tr>
      <th>17</th>
      <td>666104133288665088</td>
      <td>https://pbs.twimg.com/media/CT56LSZWoAAlJj2.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>18</th>
      <td>666268910803644416</td>
      <td>https://pbs.twimg.com/media/CT8QCd1WEAADXws.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>19</th>
      <td>666273097616637952</td>
      <td>https://pbs.twimg.com/media/CT8T1mtUwAA3aqm.jpg</td>
      <td>Italian_greyhound</td>
      <td>0.176053</td>
    </tr>
    <tr>
      <th>20</th>
      <td>666287406224695296</td>
      <td>https://pbs.twimg.com/media/CT8g3BpUEAAuFjg.jpg</td>
      <td>Maltese_dog</td>
      <td>0.857531</td>
    </tr>
    <tr>
      <th>21</th>
      <td>666293911632134144</td>
      <td>https://pbs.twimg.com/media/CT8mx7KW4AEQu8N.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>22</th>
      <td>666337882303524864</td>
      <td>https://pbs.twimg.com/media/CT9OwFIWEAMuRje.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>23</th>
      <td>666345417576210432</td>
      <td>https://pbs.twimg.com/media/CT9Vn7PWoAA_ZCM.jpg</td>
      <td>golden_retriever</td>
      <td>0.858744</td>
    </tr>
    <tr>
      <th>24</th>
      <td>666353288456101888</td>
      <td>https://pbs.twimg.com/media/CT9cx0tUEAAhNN_.jpg</td>
      <td>malamute</td>
      <td>0.336874</td>
    </tr>
    <tr>
      <th>25</th>
      <td>666362758909284353</td>
      <td>https://pbs.twimg.com/media/CT9lXGsUcAAyUFt.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>26</th>
      <td>666373753744588802</td>
      <td>https://pbs.twimg.com/media/CT9vZEYWUAAlZ05.jpg</td>
      <td>soft-coated_wheaten_terrier</td>
      <td>0.326467</td>
    </tr>
    <tr>
      <th>27</th>
      <td>666396247373291520</td>
      <td>https://pbs.twimg.com/media/CT-D2ZHWIAA3gK1.jpg</td>
      <td>Chihuahua</td>
      <td>0.978108</td>
    </tr>
    <tr>
      <th>28</th>
      <td>666407126856765440</td>
      <td>https://pbs.twimg.com/media/CT-NvwmW4AAugGZ.jpg</td>
      <td>black-and-tan_coonhound</td>
      <td>0.529139</td>
    </tr>
    <tr>
      <th>29</th>
      <td>666411507551481857</td>
      <td>https://pbs.twimg.com/media/CT-RugiWIAELEaq.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<h4 id="Define_10:">Define_10:<a class="anchor-link" href="#Define_10:">&#182;</a></h4><p>The <code>id</code> column in the <code>tweet_json_df</code> doesn't match that of <code>twitter_achived_enhanced</code> and therefore should be renamed for consistency</p>

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<h5 id="Code:">Code:<a class="anchor-link" href="#Code:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># rename the column name</span>
<span class="n">tweet_json_df</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;id&#39;</span><span class="p">:</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">},</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
</pre></div>

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<h5 id="Test:">Test:<a class="anchor-link" href="#Test:">&#182;</a></h5>
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<div class="prompt input_prompt">In&nbsp;[303]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show</span>
<span class="n">tweet_json_df</span>
</pre></div>

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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>source</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>7315</td>
      <td>34860</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>5465</td>
      <td>30195</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>3605</td>
      <td>22733</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>7505</td>
      <td>38132</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>8057</td>
      <td>36394</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>2325</th>
      <td>666049248165822465</td>
      <td>38</td>
      <td>92</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>2326</th>
      <td>666044226329800704</td>
      <td>121</td>
      <td>258</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>2327</th>
      <td>666033412701032449</td>
      <td>39</td>
      <td>105</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>2328</th>
      <td>666029285002620928</td>
      <td>41</td>
      <td>117</td>
      <td>Twitter for iPhone</td>
    </tr>
    <tr>
      <th>2329</th>
      <td>666020888022790149</td>
      <td>442</td>
      <td>2338</td>
      <td>Twitter for iPhone</td>
    </tr>
  </tbody>
</table>
<p>2330 rows × 4 columns</p>
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<h4 id="Define_11:">Define_11:<a class="anchor-link" href="#Define_11:">&#182;</a></h4><p>Preview the cleaned image_predictions dataset</p>

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<h5 id="Code/Test:">Code/Test:<a class="anchor-link" href="#Code/Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show</span>
<span class="n">image_prediction_df</span>
</pre></div>

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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>jpg_url</th>
      <th>breed</th>
      <th>confidence</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>666020888022790149</td>
      <td>https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg</td>
      <td>Welsh_springer_spaniel</td>
      <td>0.465074</td>
    </tr>
    <tr>
      <th>1</th>
      <td>666029285002620928</td>
      <td>https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg</td>
      <td>redbone</td>
      <td>0.506826</td>
    </tr>
    <tr>
      <th>2</th>
      <td>666033412701032449</td>
      <td>https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg</td>
      <td>German_shepherd</td>
      <td>0.596461</td>
    </tr>
    <tr>
      <th>3</th>
      <td>666044226329800704</td>
      <td>https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg</td>
      <td>Rhodesian_ridgeback</td>
      <td>0.408143</td>
    </tr>
    <tr>
      <th>4</th>
      <td>666049248165822465</td>
      <td>https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg</td>
      <td>miniature_pinscher</td>
      <td>0.560311</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>2070</th>
      <td>891327558926688256</td>
      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>
      <td>basset</td>
      <td>0.555712</td>
    </tr>
    <tr>
      <th>2071</th>
      <td>891689557279858688</td>
      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2072</th>
      <td>891815181378084864</td>
      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>
      <td>Chihuahua</td>
      <td>0.716012</td>
    </tr>
    <tr>
      <th>2073</th>
      <td>892177421306343426</td>
      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>
      <td>Chihuahua</td>
      <td>0.323581</td>
    </tr>
    <tr>
      <th>2074</th>
      <td>892420643555336193</td>
      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
<p>2075 rows × 4 columns</p>
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<h4 id="Define_12:">Define_12:<a class="anchor-link" href="#Define_12:">&#182;</a></h4><p>Preview the cleaned twitter-archive-enhanced dataset</p>

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<h5 id="Code/Test:">Code/Test:<a class="anchor-link" href="#Code/Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show</span>
<span class="n">twitter_archive_df</span>
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        vertical-align: middle;
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        vertical-align: top;
    }

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        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>timestamp</th>
      <th>text</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>dog_stage</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>2017-08-01 16:23:56+00:00</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>13.0</td>
      <td>10</td>
      <td>Phineas</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>2017-08-01 00:17:27+00:00</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>13.0</td>
      <td>10</td>
      <td>Tilly</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>2017-07-31 00:18:03+00:00</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>12.0</td>
      <td>10</td>
      <td>Archie</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>2017-07-30 15:58:51+00:00</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>13.0</td>
      <td>10</td>
      <td>Darla</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>2017-07-29 16:00:24+00:00</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>12.0</td>
      <td>10</td>
      <td>Franklin</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>2351</th>
      <td>666049248165822465</td>
      <td>2015-11-16 00:24:50+00:00</td>
      <td>Here we have a 1949 1st generation vulpix. Enj...</td>
      <td>5.0</td>
      <td>10</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2352</th>
      <td>666044226329800704</td>
      <td>2015-11-16 00:04:52+00:00</td>
      <td>This is a purebred Piers Morgan. Loves to Netf...</td>
      <td>6.0</td>
      <td>10</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2353</th>
      <td>666033412701032449</td>
      <td>2015-11-15 23:21:54+00:00</td>
      <td>Here is a very happy pup. Big fan of well-main...</td>
      <td>9.0</td>
      <td>10</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2354</th>
      <td>666029285002620928</td>
      <td>2015-11-15 23:05:30+00:00</td>
      <td>This is a western brown Mitsubishi terrier. Up...</td>
      <td>7.0</td>
      <td>10</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>2355</th>
      <td>666020888022790149</td>
      <td>2015-11-15 22:32:08+00:00</td>
      <td>Here we have a Japanese Irish Setter. Lost eye...</td>
      <td>8.0</td>
      <td>10</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
<p>2097 rows × 7 columns</p>
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<h4 id="Define_13:">Define_13:<a class="anchor-link" href="#Define_13:">&#182;</a></h4><p>Merge the three datasets</p>

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<h5 id="Code:">Code:<a class="anchor-link" href="#Code:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># merge based on the tweet_id of twitter_archive_enahnced that matches with that of other dataframes</span>
<span class="n">df_new</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">twitter_archive_df</span><span class="p">,</span> <span class="n">tweet_json_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;tweet_id&#39;</span><span class="p">)</span>
<span class="n">df_new</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_new</span><span class="p">,</span> <span class="n">image_prediction_df</span><span class="p">,</span> <span class="n">on</span> <span class="o">=</span> <span class="s1">&#39;tweet_id&#39;</span><span class="p">)</span>
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<h5 id="Test:">Test:<a class="anchor-link" href="#Test:">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_new</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>

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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        vertical-align: top;
    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>timestamp</th>
      <th>text</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>dog_stage</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>source</th>
      <th>jpg_url</th>
      <th>breed</th>
      <th>confidence</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>2017-08-01 16:23:56+00:00</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>13.0</td>
      <td>10</td>
      <td>Phineas</td>
      <td>NaN</td>
      <td>7315</td>
      <td>34860</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>2017-08-01 00:17:27+00:00</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>13.0</td>
      <td>10</td>
      <td>Tilly</td>
      <td>NaN</td>
      <td>5465</td>
      <td>30195</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>
      <td>Chihuahua</td>
      <td>0.323581</td>
    </tr>
    <tr>
      <th>2</th>
      <td>891815181378084864</td>
      <td>2017-07-31 00:18:03+00:00</td>
      <td>This is Archie. He is a rare Norwegian Pouncin...</td>
      <td>12.0</td>
      <td>10</td>
      <td>Archie</td>
      <td>NaN</td>
      <td>3605</td>
      <td>22733</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg</td>
      <td>Chihuahua</td>
      <td>0.716012</td>
    </tr>
    <tr>
      <th>3</th>
      <td>891689557279858688</td>
      <td>2017-07-30 15:58:51+00:00</td>
      <td>This is Darla. She commenced a snooze mid meal...</td>
      <td>13.0</td>
      <td>10</td>
      <td>Darla</td>
      <td>NaN</td>
      <td>7505</td>
      <td>38132</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>4</th>
      <td>891327558926688256</td>
      <td>2017-07-29 16:00:24+00:00</td>
      <td>This is Franklin. He would like you to stop ca...</td>
      <td>12.0</td>
      <td>10</td>
      <td>Franklin</td>
      <td>NaN</td>
      <td>8057</td>
      <td>36394</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg</td>
      <td>basset</td>
      <td>0.555712</td>
    </tr>
  </tbody>
</table>
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<h2 id="Storing-Data">Storing Data<a class="anchor-link" href="#Storing-Data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Store the clean DataFrame in a CSV file with the name twitter_archive_master.csv</span>
<span class="n">df_new</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s1">&#39;twitter_archive_master.csv&#39;</span><span class="p">,</span><span class="n">index</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">encoding</span> <span class="o">=</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">)</span>
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<h2 id="Analyzing,-and-Visualizing-Data">Analyzing, and Visualizing Data<a class="anchor-link" href="#Analyzing,-and-Visualizing-Data">&#182;</a></h2><ol>
<li>Visualizing the most popular dog breed</li>
<li>Analyse and visualize the relationship between retweet counts, and favorite counts.</li>
<li>Analyse and Visualize the most popular source for tweets</li>
<li>Analyse and Visualize the most most common dog stage.</li>
</ol>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># show the first 2 rows to easily have a view of the columns and their elements</span>
<span class="n">df_new</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>tweet_id</th>
      <th>timestamp</th>
      <th>text</th>
      <th>rating_numerator</th>
      <th>rating_denominator</th>
      <th>name</th>
      <th>dog_stage</th>
      <th>retweet_count</th>
      <th>favorite_count</th>
      <th>source</th>
      <th>jpg_url</th>
      <th>breed</th>
      <th>confidence</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>892420643555336193</td>
      <td>2017-08-01 16:23:56+00:00</td>
      <td>This is Phineas. He's a mystical boy. Only eve...</td>
      <td>13.0</td>
      <td>10</td>
      <td>Phineas</td>
      <td>NaN</td>
      <td>7315</td>
      <td>34860</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>892177421306343426</td>
      <td>2017-08-01 00:17:27+00:00</td>
      <td>This is Tilly. She's just checking pup on you....</td>
      <td>13.0</td>
      <td>10</td>
      <td>Tilly</td>
      <td>NaN</td>
      <td>5465</td>
      <td>30195</td>
      <td>Twitter for iPhone</td>
      <td>https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg</td>
      <td>Chihuahua</td>
      <td>0.323581</td>
    </tr>
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<h4 id="Analysis/Visualization:">Analysis/Visualization:<a class="anchor-link" href="#Analysis/Visualization:">&#182;</a></h4><p>Analysing and Visualizing the most popular dog breed</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># print the counts of the 5 most popular Dog breeds</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()[:</span><span class="mi">5</span><span class="p">])</span>

<span class="c1"># set the plot size</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">17</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="c1">#value_counts already in descending order of value</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">index</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">],</span> <span class="n">y</span> <span class="o">=</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">[:</span><span class="mi">10</span><span class="p">],</span> <span class="n">data</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">);</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">get_xticklabels</span><span class="p">(),</span><span class="n">rotation</span> <span class="o">=</span> <span class="mi">90</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span> <span class="mi">14</span><span class="p">);</span>
<span class="c1">#label x axis</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Dog Breeds&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">18</span><span class="p">);</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Count&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
<span class="c1"># title the graph</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Graph of the Popular Dog Breeds&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
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<pre>golden_retriever      137
Labrador_retriever     92
Pembroke               88
Chihuahua              78
pug                    54
Name: breed, dtype: int64
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<p>As it could be seen from the analysis and the graph, the most popular Dog breed of all is the <strong>golden_retriever</strong> which counts 137. What does a typical golden_retriver look like? This would be answered below</p>

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<div class="prompt input_prompt">In&nbsp;[311]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#let&#39;s extract the image of the golden_retriever with the highest favorite</span>
<span class="n">extract_gold_ret_img</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">[</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;breed&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;golden_retriever&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s1">&#39;favorite_count&#39;</span><span class="p">,</span><span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
<span class="c1"># extract just the image url (jpg_url), breed and favorite_count columns</span>
<span class="n">extract_gold_ret_img</span> <span class="o">=</span> <span class="n">extract_gold_ret_img</span><span class="p">[[</span><span class="s1">&#39;breed&#39;</span><span class="p">,</span><span class="s1">&#39;favorite_count&#39;</span><span class="p">,</span><span class="s1">&#39;jpg_url&#39;</span><span class="p">]][</span><span class="mi">0</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span>
<span class="c1"># view</span>
<span class="n">extract_gold_ret_img</span>
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<div class="prompt output_prompt">Out[311]:</div>


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      <th></th>
      <th>breed</th>
      <th>favorite_count</th>
      <th>jpg_url</th>
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      <th>92</th>
      <td>golden_retriever</td>
      <td>76197</td>
      <td>https://pbs.twimg.com/media/DBQwlFCXkAACSkI.jpg</td>
    </tr>
    <tr>
      <th>829</th>
      <td>golden_retriever</td>
      <td>51043</td>
      <td>https://pbs.twimg.com/media/CiyHLocU4AI2pJu.jpg</td>
    </tr>
    <tr>
      <th>442</th>
      <td>golden_retriever</td>
      <td>48559</td>
      <td>https://pbs.twimg.com/ext_tw_video_thumb/79546...</td>
    </tr>
    <tr>
      <th>182</th>
      <td>golden_retriever</td>
      <td>42569</td>
      <td>https://pbs.twimg.com/media/C79sB4xXwAEvwKY.jpg</td>
    </tr>
    <tr>
      <th>39</th>
      <td>golden_retriever</td>
      <td>41487</td>
      <td>https://pbs.twimg.com/media/DELC9dZXUAADqUk.jpg</td>
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<div class="prompt input_prompt">In&nbsp;[312]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#get the most popular by favorite count and view</span>
<span class="n">extract_gold_ret_img</span> <span class="o">=</span> <span class="n">extract_gold_ret_img</span><span class="p">[</span><span class="s1">&#39;jpg_url&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="c1"># trypical golden_retriever</span>
<span class="n">Image</span><span class="p">(</span><span class="n">extract_gold_ret_img</span><span class="p">)</span>
</pre></div>

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<div class="prompt output_prompt">Out[312]:</div>


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<img 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<p>Such a very cute breed!</p>

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<h4 id="Analysis/Visualization:">Analysis/Visualization:<a class="anchor-link" href="#Analysis/Visualization:">&#182;</a></h4><p>Analyse and visualize the relationship between retweet counts, and favorite counts.</p>

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<div class="prompt input_prompt">In&nbsp;[313]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># set the plot size</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">17</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="c1"># regression plot of retweets vs favorite count</span>
<span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;favorite_count&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;retweet_count&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df_new</span><span class="p">)</span>
<span class="c1"># title the graph</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Retweet Count vs Favorite Count&#39;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">)</span>
<span class="c1">#label x axis</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Favorite Count&#39;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Retweet Count&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Retweet Count&#39;)</pre>
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z2XJEmSJEnLxmIV9zcBf5JfX59SOpZfPw6sz69fDRyue8yR/Nhsx49Mc1ySJEmSpGWl6cV9RKwAXg782dT78hn3tAhjuCUi9kbE3scee6zZLydJkiRJ0qJajJn7lwJfTCmdyG+fyJfUk/8czo8fBTbXPW5Tfmy245umOf4kKaU7U0rbU0rbr7rqqkt8O5IkSZIkLS2LUdy/iokl+QC7gFri/c3AJ+uOvzZPzX8+8ES+fP+zwEsiYk0epPcS4LP5fWcj4vl5Sv5r655LkiRJkqRlo6eZTx4RlwE/CNxad/hdwMci4ueAbwA/mR//FPAy4GGyZP3XA6SUTkfEfwYezM+7PaV0Or/+RuCDQB/w6fwiSZIkSdKyEtm29+Vj+/btae/eva0ehiRJkiRJcxIRD6WUtk9332Kl5UuSJEmSpCaxuJckSZIkqc1Z3EuSJEmS1OYs7iVJkiRJanMW95IkSZIktTmLe0mSJEmS2pzFvSRJkiRJbc7iXpIkSZKkNmdxL0mSJElSm7O4lyRJkiSpzVncS5IkSZLU5izuJUmSJElqcxb3kiRJkiS1OYt7SZIkSZLanMW9JEmSJEltzuJekiRJkqQ2Z3EvSZIkSVKbs7iXJEmSJKnNWdxLkiRJktTmLO4lSZIkSWpzFveSJEmSJLU5i3tJkiRJktqcxb0kSZIkSW3O4l6SJEmSpDZncS9JkiRJUpuzuJckSZIkqc1Z3EuSJEmS1OYs7iVJkiRJanMW95IkSZIktTmLe0mSJEmS2pzFvSRJkiRJba6pxX1ErI6IP4+I/RHx1Yh4QUSsjYh7I+Jg/nNNfm5ExHsi4uGI+HJEPLvueW7Ozz8YETfXHX9ORPxz/pj3REQ08/1IkiRJkrQUNXvm/g7gMymlIeC7ga8CbwU+l1LaCnwuvw3wUmBrfrkFeB9ARKwF3g48D7geeHvtC4H8nDfUPe7GJr8fSZIkSZKWnKYV9xFxBXAD8AGAlNJYSulx4BXAXflpdwGvzK+/Arg7Ze4HVkfERuCHgHtTSqdTSmeAe4Eb8/sGU0r3p5QScHfdc0mSJEmStGw0c+b+qcBjwP+IiH+MiPdHxGXA+pTSsfyc48D6/PrVwOG6xx/Jj812/Mg0xyVJkiRJWlaaWdz3AM8G3pdS+h7gPBNL8AHIZ9xTE8cAQETcEhF7I2LvY4891uyXkyRJkiRpUTWzuD8CHEkp/UN++8/Jiv0T+ZJ68p/D+f1Hgc11j9+UH5vt+KZpjj9JSunOlNL2lNL2q6666pLelCRJkiRJS03TivuU0nHgcERsyw/9APAVYBdQS7y/Gfhkfn0X8No8Nf/5wBP58v3PAi+JiDV5kN5LgM/m952NiOfnKfmvrXsuSZIkSZKWjZ4mP/8vAR+JiBXAIeD1ZF8ofCwifg74BvCT+bmfAl4GPAyM5ueSUjodEf8ZeDA/7/aU0un8+huBDwJ9wKfziyRJkiRJy0pk296Xj+3bt6e9e/e2ehiSJEmSJM1JRDyUUto+3X3N7nMvSZIkSZKazOJekiRJkqQ2Z3EvSZIkSVKbs7iXJEmSJKnNWdxLkiRJktTmLO4lSZIkSWpzFveSJEmSJLU5i3tJkiRJktqcxb0kSZIkSW3O4l6SJEmSpDZncS9JkiRJUpvrafUAJEmSJC2M3fuH2bnnEIfPjLJ5TT+33rCFHUPrWj0sSYvAmXtJkiSpA+zeP8xtu/YxPFJgdV8vwyMFbtu1j937h1s9NEmLwOJekiRJ6gA79xyitzvoX9FDRPaztzvYuedQq4cmaRFY3EuSJEkd4PCZUfp6uycd6+vt5siZ0RaNSNJisriXJEmSOsDmNf1cKFUmHbtQqrBpTX+LRiRpMVncS5IkSR3g1hu2UKokRsfKpJT9LFUSt96wZVFef/f+YV515/288N338ao773evv7TILO4lSZKkDrBjaB23v/wZrBtYxRMXSqwbWMXtL3/GoqTlG+YntZ6t8CRJkqQOsWNoXUta39WH+QH0r+hhdKzMzj2HbMUnLYBqNVEsV2c9x+JekiRJ0iU5fGaU1X29k44Z5ifNX7lSpVCuUihVKJQqjF2ksAeLe0mSJEmXaPOafoZHCuMz92CYnzQXxXKFQqlKsZT9LFcvXsxP5Z57SZIkSZek1WF+UjupVrP/Rk6fH+PYExd49OR5jp65wKlzRc4Vy/Mq7MGZe0mSJEmXaMfQOm4n23t/5Mwom9b0c+sNW9xvLwGlSm15fZViubEl9vNhcS9JkiTpkrUqzE9aSlLKgu+KpSqFcoXiPJfYz4fFvSRJkiRJ81CpJgqlCsU8/K5YrpJSaslYLO4lSZIkSWrAWDmbkS+Usln5UmVxZuUbYXEvSZIkSdIUtSX29fvlK9XWzMo3wuJekiRJkrTslSvViWK+XGWshUvs58PiXpIkSZK07Iz3li8vvSX282FxL0mSJEnqaNVq3RL7vJivttGsfCMs7iVJkiRJHaVcqVIY3y/fvN7yS0lXM588Ih6NiH+OiH+KiL35sbURcW9EHMx/rsmPR0S8JyIejogvR8Sz657n5vz8gxFxc93x5+TP/3D+2Gjm+5EkSZIkLS0pZe3onrhQYvhsgW+eGuWbp0cZPlvg7IXSsijsocnFfe5FKaVnpZS257ffCnwupbQV+Fx+G+ClwNb8cgvwPsi+DADeDjwPuB54e+0LgfycN9Q97sbmvx1JkiRJUqtUq4nRsTKnz49x7IkLfOPUKN96/AKnzhU5VyxTri6PYn6qVizLfwWwI79+F7Ab+I38+N0piyO8PyJWR8TG/Nx7U0qnASLiXuDGiNgNDKaU7s+P3w28Evj0or0TSZIkSVJTlSqT29Etl5n4uWp2cZ+Av4qIBOxMKd0JrE8pHcvvPw6sz69fDRyue+yR/Nhsx49Mc1ySJEmS1IZqveWLpSqFcrZffin3ll9Kml3cvzCldDQi1gH3RsT++jtTSikv/JsqIm4hW+rPNddc0+yXkyRJkiQ1oFLN9svXkuyLbdZbfilpanGfUjqa/xyOiE+Q7Zk/EREbU0rH8mX3w/npR4HNdQ/flB87ysQy/trx3fnxTdOcP9047gTuBNi+fbufFEmSJElqgbHyxIx8J/SWb7aUEkcfv8D+4yPsPz4y67lNK+4j4jKgK6U0kl9/CXA7sAu4GXhX/vOT+UN2Ab8YEfeQhec9kX8B8Fngt+tC9F4CvC2ldDoizkbE84F/AF4L/F6z3o8kSZIkqXG1Jfb1++VdYj+7x0aKHDg+wv7jZzlwfIQDJ85xrlhu6LHNnLlfD3wi707XA3w0pfSZiHgQ+FhE/BzwDeAn8/M/BbwMeBgYBV4PkBfx/xl4MD/v9lq4HvBG4INAH1mQnmF6kiRJktQCtd7yxVKFQrnKmEvsZzVSKLH/+EhWxB8fYf+JEU6dG5v23MtWdHPdhgG+McvzxXL7ZW/fvj3t3bu31cOQJEmSpLZWLE/MyLvEfnaFUoWHh8+NL68/cHyEo49fmPbc3u5g67rL2bZhkG0bBhjaMMCmNX10RfAd6wYeqmszP0krWuFJkiRJktpItVq3xD4v5qvLbKK4UeVKlUdPjbL/+NnxQv6Rk+eZbkdCV8C1V17Gtg0D44X8U59yGb3dXXN+XYt7SZIkSdIkpUq1br+8veVnUk2Jo2cucOBENiO//9gIDz92bsbf18YrVjGUF/HbNgywdd0AfSu6F2QsFveSJEmStIzV95avLbUvVy3mpzOXwLs1/b0MbRgcL+S3rR/giv7epo3N4l6SJEmSlpFqNeXt6CaK+eWWxdaIJwXeHR/h1PnZA++2rR9gaOMAQ+sHuGpgJXnA/KKwuJckSZKkDlaqTLSjK5QqBt9NY66Bd09bd3leyA8ytH6ATWuzwLtWsriXJEmSpA5Rv8Q+m523t/xUrQq8azaLe0mSJElqU5VqGg+9K5azEDyX2E+Yb+BdrZDfun6Avt6FCbxrNot7SZIkSWoTY+WJGXl7yz/ZfAPvhjYOcN36Aa7oa17gXbNZ3EuSJEnSElRbYl/bL18su8S+3tkLJQ6caJ/Au2azuJckSZKkJaBcqVIoVymWKhTKVcZcYj9uPoF3QxsGx5fXb1rT+sC7ZrO4lyRJkqQWKNa1o3OJ/YRypcojJ8+P75PvlMC7ZrO4lyRJkqQmq1brltjnxXzVWfnJgXfHsmK+kcC7WuhdOwXeNdtFi/uIWJlSKl7smCRJkiQpU6pU6/bLV2YsVpeb+Qbe1Wbm2znwrtkambn/AvDsBo5JkiRJ0rJT31u+ttS+XLWYn0/g3Xgbug4MvGu2GYv7iNgAXA30RcT3ALXf6iDQvwhjkyRJkqQlp1JNk/bLF0oG38018G7rusvZtswC75pttpn7HwJeB2wCfrfu+Ajw75s4JkmSJElaMkqViXZ0hVJl2QfflStVHj01yv7jZ+cUeFeblV+ugXfNNmNxn1K6C7grIv5tSunjizgmSZIkSWqJ+iX2hXK2X34595afFHh3PAu9M/BuaWpkz/3/iohXA9fWn59Sur1Zg5IkSZKkxVCppvHQu2I5C8Fbzkvs5xt4N7RxgOvWG3jXDBFBb3ewomf21Q6NFPefBJ4AHgJMyJckSZLUtsbKEzPyy723/HwC77atzwp5A++ao7srK+JXdHdlP/PrjfyeGynuN6WUbrz0YUqSJEnS4kkpTQq9K5aX7xJ7A++Wnt68gF9ZV8T3XEIWQSPF/d9HxDNTSv8871eRJEmSpCYrV6oUylWKpQqFcpWxZbrEvlyp8sjJ8+P75BsNvKsV8gbeLayIybPxK/PrXV0L+2VJI8X9C4HXRcQjZMvyA0gppe9a0JFIkiRJ0hyMz8jn++WX4xL7SYF3x7Ji3sC71qktq1/Z0z2poF8MjRT3L236KCRJkiRpFtVqlmJfKFUolLP98tVlOCv/2Egxn4038K7VervrltQvwLL6S9VIcb/8/ouRJEmS1FK13vK1gn6mmehOVh94V1tef7HAu9qMvIF3C6ertqy+rohf2dNYyN1iaqS4/0uyAj+AVcBTgQPAM5o4LkmSJEnLRH1v+dpS+3J1eRXzBt4tDT1dXU8q5BdrWf2lumhxn1J6Zv3tiHg28MamjUiSJElSR6tU03gRX5udX07Bd1MD7774jcc5frYw7bm1wLvajPw2A+8WRH3v+JXd3ePFfPcCh9wtpkZm7idJKX0xIp7XjMFIkiRJ6jxj5eqkYn45Bd/NNfCupyvo6Q5+YNs6XvKMDTxt/eUG3l2i+mX1K+fYO76dXLS4j4hfrbvZBTwb+FbTRiRJkiSpbdWW2Nfvl19OveWnBt7tPzHC+WJl2nPXXraCcv5Fx8DKHlb1dtPdFVwoVTj6eIFnbrpiMYfeEWq942vL6Vf0dC2bVQ6NzNwP1F0vk+3B/3hzhiNJkiSpnVSqKUuwX4a95ecaeLetbmn90zcM8pTLV/Dq9/8Dg6t6CCZmkVf1dnH87PT77ZWpLauvtZxrVu/4dtLInvv/BBARl+e3zzV7UJIkSZKWprFylUI5K+aLpeXTW74WePfVvIhvNPCutld+psC7jYN9nDpfnLT0vlCqsmGwr2nvpd3UesfXz8Z34rL6S9XIsvx/BXwIWJvfPgncnFL6lyaPTZIkSVILpZQolCbvl18OveWnBt7tPz7CoyfPM93ugksNvLvpuZu5476DXChVWNXblXcKSNz03M0L/K7aw1LrHd9OGlmWfyfwqymlzwNExI782Pc28gIR0Q3sBY6mlH4kIp4K3ANcCTwEvCalNBYRK4G7gecAp4CfSik9mj/H24CfAyrAm1NKn82P3wjcAXQD708pvauRMUmSJEl6snKlSqFcpbiMltjPNfDu21avYtv6rP3c0IbBSw68u37LWt7CVu558DDHz15gw2AfNz13M9dvWTvv52wHEZNn411Wf+kaKe4vqxX2ACml3RFx2Rxe4y3AV4HB/Pa7gf+eUronIv6QrGh/X/7zTErpaRFxU37eT0XEdwI3Ac8Avg3464i4Ln+u3wd+EDgCPBgRu1JKX5nD2CRJkqRlqzYjXywtn97yj40U8z3yjQXejRfyGwe4bv0AV/T1LviYrt+ytqOL+XbuHd9OGinuD0XEfyRbmg/wM8ChRp48IjYBPwz8FvCrkW2KeDHw6vyUu4B3kBX3r8ivA/w58ParQ9UAACAASURBVN78/FcA96SUisAjEfEwcH1+3sMppUP5a92Tn2txL0mSJE1RrU6k2BfK2X75Tl9iP1IoTQq72z+PwDv3dc9N/bL6WthdO/eObyeNFPc/C/wn4C+ABPxtfqwR/x/w/zCRuH8l8HhKqZzfPgJcnV+/GjgMkFIqR8QT+flXA/fXPWf9Yw5POf686QYREbcAtwBcc801DQ5dkiRJal+lyuR2dDMtM+8UtcC7WiF/4MQIR85cPPBu24ZsZn6mwDtNr753fG02fmWPIXetNGNxHxGrgIGU0mPAm+uOrwMu2pchIn4EGE4pPZTv02+ZlNKdZDkBbN++vbO/npQkSdKyU+stX6wLv+vkJfaVauKRk+frZuTP8kiTAu80eVn9ymXWO76dzDZz/x7gM2Qz9vW+D3gJ8AsXee7vA14eES8DVpHtub8DWB0RPfns/SbgaH7+UWAzcCQieoAryIL1asdr6h8z03FJkiS1yO79w+zcc4jDZ0bZvKafW2/Ywo6hda0eVkepVNOkBPtiBwffpZQ4+vgFDhwfGW9D9/DwOYqLFHi3nNR6x6/o6WJld/d4Qe+y+vYwW3H/nJTSLVMPppQ+ERHvvNgTp5TeBrwNxhP2/++U0k9HxJ8BP06WmH8z8Mn8Ibvy21/I778vpZQiYhfw0Yj4XbJAva3AA0AAW/P0/aNkoXu1vfySJElqgd37h7lt1z56u4PVfb0MjxS4bdc+bgcL/EswVp7cjq6Te8ufPFdk/7GR8TZ0B46PcK5Ynvbc8cC7jVkx36zAu05k7/jOM1tx3z/LfZeyBuM3gHvyLwj+EfhAfvwDwIfywLzTZMU6KaV9EfExsqC8MvCmlFIFICJ+EfgsWSu8P04p7buEcUmSJOkS7dxziN7uoH9F9s/M/hU9jI6V2bnnkMV9g2pL7Ov3y1emW2/eAWqBd+Nt6E6McOqcgXcLrbe760mFvMvqO89sxf1wRFyfUnqg/mBEPBd4bC4vklLaDezOrx9iIu2+/pwC8BMzPP63yBL3px7/FPCpuYxFkiRJzXP4zCirp8yc9vV2c+TMaItGtPRVqilLsO/w3vJTA+/2Hx/h6OMXD7yr7ZU38O7i7B2/vM1W3P868LGI+CDwUH5sO/Ba8ll1SZIkqd7mNf0MjxTGZ+4BLpQqbFoz26LQ5aVYnpiRL5aqHbnEvlyp8uip0TkF3tVm5IcMvGuIy+o11YzFfUrpgYi4HngT8Lr88D7geSml4UUYmyRJktrMrTds4bZd+xgdK9PX282FUoVSJXHrDVtaPbSWSClRKE3eL99pveVrgXf76/rJHxw+N2PrvY1XrMrD7rJifuv6AQPvLqK+d3ytiO/xyw9NMWuf+7yIf/sijUWSJEltbsfQOm4n23t/5Mwom5ZZWn65UqVQt1++E5fYPzZSrNsnf5YDJ87NGHi3pr93fDZ+aMMg29YPcEW/gXcz6Yqgt9YzvjeflXdZvRo0a3EvSZIkzdWOoXXLppivzcgXS53ZW74WeDe+vH6WwLv+WuDdeBu6Aa4aWOky8RnU946vX14vzZfFvSRJktSAajVRKGf75Gs/O2mJ/VwD75627vJJ/eQ3rTXwbjoRQU9XsLLX3vFqrosW9xHxEymlP7vYMUmSJKmTlCrVPMU+2zM/0x7ydlQfeLf/+FkOHB+ZNfDu26+8bHyPvIF3M+uqpdXXzcav7DHkToujkZn7twFTC/npjkmSJEltqdZbvn5WvlOW2M838K5WyG9dN0DfCgPvpurpqtsXb+94LQEzFvcR8VLgZcDVEfGeursGgekTMyRJkqQ2UKmmSQn2xQ4KvptP4N3TNwyO75c38G6yiKC3O5uRd1m9lrLZZu6/BewFXs5En3uAEeBXmjkoSZKkdrN7/zA79xzi8JlRNi+zhPh2MFae3I6uU3rLzyXw7rIV3Vxn4N2s7B2vdjZbn/svAV+KiI/m512TUjqwaCOTJElqE7v3D3Pbrn30dger+3oZHilw26593A4W+C1QW2Jfv1++Mt1m8jYzn8C7oXxGfmj9gIF3U/TmBfxKe8erQzSy5/5G4L8CK4CnRsSzgNtTSi9v6sgkSZLaxM49h+jtDvpXZP+06l/Rw+hYmZ17DlncL4JKNeWFfIVCh/SWN/Bu4URMno1f2WPveHWmRor7dwDXA7sBUkr/FBFPbeKYJEmS2srhM6Os7pu8T7mvt5sjZ0ZbNKLOVixXxmfmi6Vq2y+xn2/gXa2YN/BuQm1Z/cqebnvHa9lppLgvpZSemLLPpL2/CpUkSVpAm9f0MzxSGJ+5B7hQqrBpTX8LR9UZqtU8xb5uv3y795afT+BdrZe8gXcTervrltS7rF5qqLjfFxGvBrojYivwZuDvmzssSZKk9nHrDVu4bdc+RsfK9PV2c6FUoVRJ3HrDllYPre2UK1UK5YkE+3ZfYm/g3aWzd7zUmEaK+18CfhMoAh8FPgu8s5mDkiRJaic7htZxO9ne+yNnRtlkWn7DajPyxTz8rp17y88n8G6ikB808I6sd/zUQt5l9VJjotFvQiOiP6XU9hvHtm/fnvbu3dvqYUiSJC071WqiUM72ydd+tusS+7kG3l175WVZH3kD7wB7x0vzFREPpZS2T3ffRWfuI+J7gfcDlwPXRMR3A7emlN64sMOUJElSJylVJrejmykgbqmbb+BdrZBf7oF39cvqV9o7XmqaRpbl/3fgh4BdACmlL0XEDU0dlSRJaqnd+4fZuecQh8+Mstkl5mpArbd8/ax8uy6xn2vg3dCGwfFifrkH3tV6x9eW06/o6VrWKxSkxdRIcU9K6fCUb9YqzRmOJElqtd37h7lt1z56u4PVfb0MjxS4bdc+bgcLfI2rVNOkBPtimwbfzTvwbuMAQ+uXb+BdbVl9reWcveOl1mukuD+cL81PEdELvAX4anOHJUmSWmXnnkP0dsd4W7f+FT2MjpXZueeQxf0yNlaemJEvlCpt2Vt+PoF3QxsGs+X16weWbeBdrXd8/Wy8y+qlpaeR4v7ngTuAq4GjwF8Bb2rmoCRJUuscPjPK6r7Jy4r7ers5cqbtc3XVoNoS+/r98pXpkuKWMAPv5sfe8VL7aqS4P5dS+ummj0SSJC0Jm9f0MzxSGJ+5B7hQqrBpTX8LR6VmqlRTXshXKLRhb/n5Bt7V9slvXT9AX+/yCryLmDwb77J6qf01Utz/S0ScAP42v/xdSumJ5g5LkiS1yq03bOG2XfsYHSvT19vNhVKFUiVx6w1bWj00LZBiuTI+M18sVdtuib2Bd3Nj73hpebhocZ9SelpEXAP8a+CHgd+PiMdTSs9q+ugkSdKi2zG0jtvJ9t4fOTPKJtPy21q1OrHEvvaznXrLjxRK47PxtX3yp84beDeT2rL6WtCdveOl5aORPvebgO8jK+6/G9gH/F2TxyVJklpox9A6i/k2Va5UKYzvl2+v3vIG3jWuvnd8bTZ+ZY8hd9Jy1siy/G8CDwK/nVL6+SaPR5IkSXNQm5Ev5uF37dJbfiLw7ux4MW/g3fRqy+rrg+4u9b3v3j/Mzj2HOHxmlM2uzpE6QiPF/fcALwReHRFvBQ4Cf5NS+kBTRyZJkqRJqtU00Y4u/9kOS+znG3hXK+SXS+BdrXf8ip4uVnY3b1n97v3D3LZrH73dweq+XoZHCty2ax+3gwW+1MYa2XP/pYj4OvB1sqX5PwN8P2BxL0mS1ESlyuR2dO2yxL4WeFdrQddo4N3QxgGuWz/AFX2dH3jXyt7xO/ccorc7xjti9K/oYXSszM49hyzupTbWyJ77vcBK4O/J0vJvSCl9o9kDkyRJWk5qveXrZ+XbYYn9kwLvToxw6lwDgXf5rPxyCLzr7a7bF9/b+t7xh8+MsnrKFyh9vd0cOTPaohFJWgiNLMt/Y0rpgfoDEfHUlNIjTRqTJElSx6v1lq9Psl/qveXrA+9qBb2BdxPapXf85jX9DI8UxmfuAS6UKmxa09/CUUm6VI0U938IPHvKsT8HnrPww5EkSepMY+VsRr5dessbeDe7+mX1K3u726p3/K03bOG2XfsYHSvT19vNhVKFUiVx6w1bWj00SZdgxuI+IoaAZwBXRMSP1d01CKy62BNHxCpgD9mS/h7gz1NKb4+IpwL3AFcCDwGvSSmNRcRK4G6yLw1OAT+VUno0f663AT8HVIA3p5Q+mx+/EbgD6Aben1J61xzeuyRJUlPUltjX75evTFcVLxHVlDh65gIHTmQz8vuPjfDwYxcPvKuF3nV64F2td3z93vhWLqu/VDuG1nE72d77I2dG2WRavtQRZpu53wb8CLAa+Dd1x0eANzTw3EXgxSmlcxHRC/xdRHwa+FXgv6eU7omIPyQr2t+X/zyTUnpaRNwEvBv4qYj4TuAmsi8avg3464i4Ln+N3wd+EDgCPBgRu1JKX2nonUuSpEWxHFpulSvViWK+XGVsiS+xn2/g3bZ8v/wV/Z0ZeNcVQW99y7kO7h2/Y2hdx/13KC13Mxb3KaVPAp+MiBeklL4w1ydO2f/RzuU3e/NLAl4MvDo/fhfwDrLi/hX5dciW/b83sr9JXwHck1IqAo9ExMPA9fl5D6eUDgFExD35uRb3kiQtEZ3acqtYrtsrv8SX2J+9UOLAibrAu+MjnDrfQODdxmyffKcG3tV6x9fPxrfLsnpJmk4je+5PRcTngPUppX8VEd8FvDyl9M6LPTAiusmW3j+NbJb968DjKaXaV8NHgKvz61cDhwFSSuWIeIJs6f7VwP11T1v/mMNTjj9vhnHcAtwCcM0111xs2JIkaYF0QsutarVuif0S7y1v4N2TLVbveElqtUaK+z8Cfh3YCZBS+nJEfBS4aHGfUqoAz4qI1cAngKFLGOu8pZTuBO4E2L59+9L8v7EkSR2oHVtulStVCuP75Zdub/lKNfHIyfPjRfz+42eXfeBdVy2tvmdyWn0nrjyQpKkaKe77U0oPTPlLcfpNWTNIKT0eEZ8HXgCsjoiefPZ+E3A0P+0osBk4EhE9wBVkwXq14zX1j5npuCRJuojF2Au/1FtujfeWL1cp5uF3S7G3fEqJo49fGF9Wv//4CA8Pn6N4kcC7WiHfiYF39b3ja8V8p31ZIUlz0UhxfzIivoNsvzwR8ePAsYs9KCKuAkp5Yd9HFnz3buDzwI+TJebfDHwyf8iu/PYX8vvvSymliNgFfDQifpcsUG8r8AAQwNY8ff8oWehebS+/JEmaxWLthV9qLbeq1ZS3o8sS7JfqEvuT54qTCvkDx0caCrwb2jjAdesHuKKvcwLvJi2r7+lesr3jJanVGinu30S2pH0oIo4CjwA/3cDjNgJ35fvuu4CPpZT+V0R8BbgnIt4J/CPwgfz8DwAfygPzTpMV66SU9kXEx8iC8srAm/Ll/kTELwKfJWuF98cppX2NvGlJkpa7xdoL3+qWW6XKRDu6QqmyJIPvRgqlPLF+opg/da6BwLt8Vr6TAu/qe8fXB911yvuTpGaKRtu0RMRlZEX6KHBTSukjzRxYs2zfvj3t3bu31cOQJKmlXvju+1jd1zupaEop8cSFEn/7Gy9u4cjmb3yJfamaz84vvd7yxVKFg8PnskL+WFbQHzkzc+Dd1nWXs60WeLdhgE1rOifwrtN6x0vSYoiIh1JK26e7b8aZ+4gYJJu1v5ps6fxf57d/Dfgy0JbFvSS1i+XQG1yts9T3wjeiUk3joXe1ffNLqbd8pZp49OR5vnp8og3doZPnll3gXcTk2XiX1UtSc8y2LP9DwBmyPfBvAH6TbJ/7j6aU/mkRxiZJy1an9gbX0rHU9sI3Yqw8MSO/1HrL1wfe1Yr5OQXerRugb0X7B951dwUre7rtHS9JLTBbcb8lpfRMgIh4P1mI3jUppcKijEySlrFO6A2upa3Ve+EvprbEvrZfvlhe/CX2Dxw6zT0PHubY2QtsHOzjpudu5vota4Es8K62rH7/8RG+dmKEkcLMgXe1In5owyDb1g9wRX/7B965rF6SlpbZivtS7UpKqRIRRyzsJWlxtGNvcLWfHUPrlkwxX+stXyxVKJSrjLV4if0Dh05zx30H6ekKLlvRzdHHR/mtT32VzWv7OTFSmDHwrn9FN9fVhd1t2zDAujYPvJvaO35FXtS383uSpE40W3H/3RFxNr8eQF9+O4CUUhps+ugkaZnqhP3Q0myKtXZ0+X75pbLEvhZ493v3PcwTF0qUKlVKlYkvGb5y7Oz49d7u4GnrLq9Lrh9k09r2Drzr6eqaVMivtHe8JLWNGYv7lFL7b/ySpDbVjvuhpZlUq3VL7JdQb/m5BN4BrOgOuruCW7//O9o+8G5S7/juiT3y3YbcSVLbaqTPvSRpkS3EfmjT9tUqpUq1br98hbEZQuUWU33gXa2X/GyBdyu6s0L3spXdrOrpZlVPF8VKlSsvW8nLv/vbFnn0l6a2rH7q/niX1UtSZ7G4l6Ql6lL2Q5u2r8VS31u+ttS+XG19MX/yXHFSIX/g+Ajnio0H3h04PjK+535Vb1f+vhI3PXfzIr+TuentnpxSv8Jl9ZK0bFjcS1IHMm1fzVKppon98vnPVveWHymUsmX1JyaK+UsNvLt+y1rewlbuefAwx89eYMOUtPxWqy2rr7Wds3e8JMniXpI6kGn7Wihj5YkivlCqtDz4rhZ4d+DEyHgruiNnLkx77qUG3l2/Ze2SKOa7u+JJs/Euq5ckTWVxL0kdyLR9zUf9EvtCOdsvv9i95evNJfCuK+Dbr7yMbeuz2finb2zPwDt7x0uS5sviXpI6kGn7akSlmsZD74rlLASvVUvs6wPvasX8bIF3G69YNb6sfmjDAFvXDdC3on0a/URMzMav7M1n5V1WL0m6BBb3ktSBFiJtX51nrDwxI18stba3/MlzxfFl9fuPj/C1EyOMFC4eeLdtwwBD6we5or932nOXoqm942vL6yVJWkgW95LUoS4lbV/tL6U0KfSuWG7dEvtJgXfHRth/ovHAu6ENA1w1TeDdUlVbVl8LurN3vCRpsVjcS5LUAcqVKoVylWKpQqFcZaxFS+xrgXe19nPNDLxrpVrv+PrZ+JU9htxJklrH4l6SpDY0PiOf75dvxRL7SjXxyMnz44X8/uNneeTk+YsG3g1tzIr5dgm86+mq2xdv73hJ0hJlcS9J0hJXrWYp9oVShUI52y9fXeRZ+UsJvNu2YYDr2iDwrtY7fkVPFyu7XVYvSWovFveSJC0xpUp1PMG+UKowNkMB3UxTA+8OHB/hXHH2wLunbxjMivn1A08KvHvg0GnuefAwx85eYONgHzc9d3NLe8jbO16S1Gks7iVJaqH63vK1pfbl6uIW83MNvKsV8I0G3j1w6DR33HeQnq5gcFUPp84XueO+g7yFrYtS4Pd2dz2p7Zy94yVJncbiXpLayO79w+zcc4jDZ0bZbHu7tlSppvEivjY7v5jBd/MOvNs4yND6gXkF3t3z4GF6uoK+3mxZfl9vNxdKFe558PCCFvf1veNX9GQBd/aOlyQtFxb3ktQmdu8f5rZd++jtDlb39TI8UuC2Xfu4HSzwl7CxcnVSMb+YwXfzCbwb7yW/gIF3x85eYHDV5H9yrOrt4vjZ6b9UaERtWf14yzl7x0uSljmLe0lqEzv3HKK3O+hfkf3V3b+ih9GxMjv3HLK4XyLql9gXyhUKpcXrLX8pgXdDGwbY2sTAu42DfZw6XxyfuQcolKpsGOxr6PG13vH1e+NdVi9J0mQW95LUJg6fGWV13+SQsr7ebo6cGW3RiFSppizBvgW95Rc68K6ZbnruZu647yAXShVW9XbluQKJm567edJ5XRH09tQV8vaOlySpYRb3ktQmNq/pZ3ikMD5zD3ChVGHTmv4Wjmp5GStPzMgXS4vXW77ZgXfNdv2WtbyFrdzz4GGOn73AhsE+Xv28zdxw3bpJs/Euq5ckaf4s7iWpTdx6wxZu27WP0bHyeCBZqZK49YYtrR5aR0opUShN3i+/GL3lC6UKD88n8G7DAEMbBucVeNdMtd7xL/7Odbz0mRvtHS9JUpNY3EtSm9gxtI7byfbeHzkzyibT8hdUuVKlUJ5IsF+MJfblSpVHT42yPw+7O3B8pCWBdwulq5ZW3zM5rd5l9ZIkNZ/FvSS1kR1D6yzmF0htRr5YWpze8rXAu6yQX1qBd/NR3zu+VswvpS8aJElabizuJUkdr1rNUuyz4Ltsv3yzl9hPCrw7dpYDJ84t2cC72dSW1dfaztk7XpKkpcniXpLUcUqVieX1hVKFsRlmxxdKswPvHjh0mnsePMyxsxfYONjHTc/dzPVb1i74+6j1jq+fjXdZvSRJ7cHiXpLU1qb2li82eYn91MC7/cdHOPp4A4F3GwcZWj8w58C7Bw6d5o77DtLTFQyu6uHU+SJ33HeQt7D1kgp8e8dLktRZLO4lSW2lUk2TEuyLTQy+WwqBd/c8eJierqCvN9tvX+uUcM+Dhxsq7mu941d0d7Gy197xkiR1qqYV9xGxGbgbWA8k4M6U0h0RsRb4U+Ba4FHgJ1NKZyL7V8YdwMuAUeB1KaUv5s91M/Af8qd+Z0rprvz4c4APAn3Ap4C3pGZHG0taNLv3D7NzzyEOnxlls8nwy9ZYeXI7umb1lp8u8O7g8LkZl/QvVuDdsbMXGFw1+X/Xq3q7OH72yasFerq6JqXV2ztekqTlo5kz92Xg11JKX4yIAeChiLgXeB3wuZTSuyLircBbgd8AXgpszS/PA94HPC//MuDtwHayLwkeiohdKaUz+TlvAP6BrLi/Efh0E9+TpEWye/8wt+3aR293sLqvl+GRArft2sftYIHfwWpL7Ov3y1emmyZfAI+NFOv2yS/dwLuNg32cOl8cn7kHKJSqfNsVfVy+qoeV3d32jpckSc0r7lNKx4Bj+fWRiPgqcDXwCmBHftpdwG6y4v4VwN35zPv9EbE6Ijbm596bUjoNkH9BcGNE7AYGU0r358fvBl6Jxb3UEXbuOURvd9C/Ivtrqn9FD6NjZXbuOWRx30Eq1ZQl2JcqFJrYW74WeDe+T36BA++a6VXXb+aOzx2kWKnS39tNsVwB4M0/sJV1A6taMiZJkrT0LMqe+4i4Fvgeshn29XnhD3CcbNk+ZIX/4bqHHcmPzXb8yDTHp3v9W4BbAK655pr5vxFJi+bwmVFW902eGe3r7ebImdEWjUgLoViemJEvlqpNWWI/78C7DQMMbRicc+DdQpqud/yWqy5n/eAqdu45xJEzo2xyi4okSZpG04v7iLgc+Djwyymls/UzHymlFBFN3yOfUroTuBNg+/bt7smX2sDmNf0MjxTGZ+4BLpQqbFrT38JRaS5qveXr98svdG/5pRB4Nx+13vEre7rz/vGz947fMbTOYl6SJM2qqcV9RPSSFfYfSSn9RX74RERsTCkdy5fdD+fHjwKb6x6+KT92lIll/LXju/Pjm6Y5X1IHuPWGLdy2ax+jY+XxdPBSJXHrDVtaPTTNoFypUqjbL7/QS+xrgXcHjo/w1XxW/uHhcxQbCLzbtmGA65oUeHcx9o6XJEmLoZlp+QF8APhqSul36+7aBdwMvCv/+cm6478YEfeQBeo9kX8B8FngtyNiTX7eS4C3pZROR8TZiHg+2XL/1wK/16z3I2lx7Rhax+3QFkuRl2uqf21GvljKfi50b/mT54rjy+r3Hx/haydGGCksvcC7evaOlyRJrRLN6hwXES8E/hb4Z6D2L75/T1aIfwy4BvgGWSu80/mXAe8lS7wfBV6fUtqbP9fP5o8F+K2U0v/Ij29nohXep4FfulgrvO3bt6e9e/cu1NuUtMzVp/rXrzC4/eXP6KgCv1pNFMrZPvnaz4VcYl8LvDtwYiL07uQMgXeXrejmuhYH3k3XO362ZfWSJEkLISIeSiltn/a+5dYW3uJe0kJ61Z33PykbYHSszLqBVfzJLc9v4cguTalSzVPssz3zM/V6n49iqcLB4XMcODEReHfkzOyBd0P5jPzQ+oFFD7yzd7wkSVoqZivuFyUtX9LiW65LxRdbJ6T613rL18/KL9QS+0o18ejJ8+NL6w8cH+HQyXMzBt5de+Vl43vkFzvwrhZyt6Kny97xkiSp7VjcSx2ofqn46r5ehkcK3LZrH7eDBf4Ca8dU/0o1TUqwLy5Q8F1KiW89XmD/8bPjhfzBBgLvaqF3Wxcx8K4r4kmz8St7DLmTJEnty+Je6kA79xyitzvGC87+FT2MjpXZuefQpOLe2f1L1w6p/mPliRn5QqmyYL3l2yXwbrre8a1ofydJktRMFvdSB2pkqbiz+7Nr9IuPpZbqX1tiX79fvjLdGvg5Olco52F3Zy8aeNe/opvr8rC77gj+8ZuPc/J8gcJYlW3rB7j+qWsveTzTmWvveEmSpE5icS91oEaWijc6u78cTf3i49FT57j1ww9x+cpurls/+KTifcfQupb9zirVlBfyFQoL1Ft+roF333HV5ZOW129e209XBA8cOs0d9x2kpyu4oq+XU+eL3HHfQd7CVq7fcmkFvr3jJUmSJrO4lzpQI0vFOyEIrlnqv/gYKZQ4da5EIlEoVVu+wqFYrozPzBdL1UteYj+XwLsArn3KZWxbnxXxT984e+DdPQ8epqcraxEIjH8W73nw8JyKe3vHLzy35EiS1Hks7qUO1MhS8XYMglss9V98PDZSJAK6CMYq1UVd4VCtTiyxr/28lN7yKSU+/c/H+bOHjvDYuSIBjFWqlCrTP+fGK1ZlveQ3ZsX8dXMMvDt29gKDqyb/b2ZVbxfHz06/CqCR3vEWpZfOLTmSJHUmi3upQ11sqXg7BMG1Sv0XH2OVKt1dQarCiny2uFkrHMqVKoXx/fLZn8elLLGfGnj3lW+d5UKpMu25tcC72tL6ofWDlxx4t3Gwj1Pni+Mz9wCFUpUNg33z6h2/lIvSdvrSwS05kiR1Jot7aZlaakFwS0n9Fx+9XUEpX6P+lMtXcfZCiRMjBVKCV915/yX9zmrt6Ip5+N2l9JYfvwjQFwAAIABJREFUKZQ4cHwkD72bPfCuK2BlTzerervoiuCyFd2s6V/BIyfPUxirLkhhD3DTczdzx30HKZQr9PV2Zy33gDe/+Glcc+XcV4gs1aJ0KX/pMB235EiS1Jks7qVlYKZZxWYHwbXTbGa9+i8+nrhQYqRQZk1/L5A4+ngBgKtXr5pTEVetpol2dPnP+S6xn2/g3X37h1nT3zspeO5cscSRxy+QgMFVPZcUelffO35lTxc/+pyrWT+4kjv/9pEF+QKpmUXppXxWW/2lw1zH7pYcSZI6k8W91OYu9g/7Vs0qttts5lT1X3zUfsdf/OYZerqCwVU9nDw3Nr5k/12f/uqT3lOpMrkd3Vh5frPycwm86wr49isnAu+GNgyw5aqJwLtHT45y6nxxUqL8yXNj9HTPPfSu0d7xL3r6el709PXzeu9TNasovdTPaitnwuczdrfkSJLUmSzupTbWyD/sWzWr2OrZzIVUK/Rf+O776A741hMFugi6I6hWE18bPsdf/ctxnrflyvFZ+fkssU8p8a3HC5N6yR8cPkdxhi8G5hp4V1smf6FUYVVvV74VILFhcOWk8+pD72q947PZ+O6W9o5vVlF6qZ/VVs6Ez2fsbsmRJKkzWdxLbayRf9hPnVUcKZQYPlvg0VOjvOrO+3nBlrV84dDpBV8634n7ejev6ecfD58hEkTdJHVPV/AHu7/O09ZfPqfnmxp497UTI4wUytOeuxCBd9dvWctb2Mo9Dx7m+NkLbBjsm5QpQGRL6wul6v9p787j5Djre99/flW9zkzPSCNpJFmSsWTLyAv4AsKxbzjEMZtZjg25PrzsAIFAjjk35AVhuRcTlnAMN8EJNwlOOAf7JByWJDaJQ4IPu7GxHS7YWLYxtkG2hSzbkjXSjJZZe6167h9V3dPT6p5NM9Mzmu/79eqXpququ6q6ukbze57f83vY0tvBptXZJTV3/EIFpSf7XW1nT/hcj32hh+SIiIjI4lNwL8LyHRs+kz/s63sVRwplnjtewOHIJDyeGhzlp/uO0pdLsaYzPa+p86fSuN5SJRonf9VLt3DfU0fwDULAOcDBulyq5fRuVY0F73b3j3CkRcG7jpTP2eujQL4azPfl0vMSZF+4rZcLt/XW5o7/6VNH+cx3d1MJo2n+8uWA0MF7LjmLdGLm094tloUISk/2u9rOnvBT6T4TERGRk6PgXla85Tw2fCZ/2Nf3Kh4ejgJ7gLVdaQZHi3gGw/kKa7syLVN659L4sVzH9To3Mbd8dbx8EPdsv2BzD2es6WT/sXHC0JH0PXo7U3hm9HVOpLbXF7zbfTAK6GdS8C56dLO5N4s3T73lzeaOTycmeuPfcMFpdKUTKzpFez6+q+3qCV+u95mIiIjMPzuZOZSXo507d7pdu3a1+zBkCbn6pntPCJDHSxX6chluvuaiNh7Z9OobJur/sL/u8vOaBuc/3XeUTMJjbVea7myS3f3DeAZBCOmERykISXpGRzrBro+9alb7aHV8Sz1oDEJXm1e+UAkpVcIp55b/6d6jfO7OJ0l4RibpkS9Fr3v5WesoBiEPPnOMg0OFpq+tL3i3Y2MUzG9d29m0EN1czGXueIksh+9qK8v52EVERGR2zOwB59zOpusU3MtK97Lr72RVNjkp5dk5x1C+zL9/+NK2HNNsespn84d9Y0PG3oFRCpWAMIRUwsMsCnY9M25860u4ZEffsm78aKZYCWo988VySDmYeeE75xwHjuf59s/7uWP3YY7nS1RCR6tfo74XFaO79Pl9vOq89dMWvJupSUXufL8WzPttKHInIiIiIotnquBeafmy4i21MauzHSYwm3TgxhTeXCbB2HCAb2CAi+Pc1R3JWmr+TMb1z7QxYrFrG4ThRIp99d/ZzC0/24J31fT9XDpBJunje0a+HPDc8QIXbF41p3Oonzu+On/8UipyJyIiIiJLg4J7WfGW2pjVhZxCrrHw19a1XYwWyzhnlIKQlO+xtitDLpOoBe/TNX7UN0b4Bg89e4x3fWUXZ/d18eHLdkyaK36haxtUgpBCbbz87OaWn2vBu2oF+75cmt/+2/voziQwJgLv+mnlpjPTueNFRERERBopuJcVb6nN+bzQU8g19vS3SruvBu/TNX5UGyMqgaub/x2eGhybFLwvRKNFtUe+GBe/m+nc8rMteHdWX1c0Tn6agncbu7McGSuSTU6k3hfKIRu6s5O2q6bVpxP+pN74dswdLyIiIiKnBgX3IiytOZ8be8qH82UOjRRwLgrE57vhYbrgfbrGj2pjxFNDY3gYnmc4orH7Sd9mld4/lTB0FCoTFeyL5XBGKfZB6Ng3OMYv+0einvn+EfYOjhI2eenJFry76qVb+NydT5IvB2SSXtzg4Pidi59HTzY5qdDdbNLql+tUjYtNn5OIiIisZAruRZaY+mC7EoQcOB5VXt+0KjPvqezVYGisWKYcOFIJj+19uROCosbGj7t2H+bqm+7l2WPjDOfLBGFIKQjx44DVOUj53qTgfba1DcrB5OnoZpJiXy14Vz9Ofs/hUYotXruxJ1NLrX/+htxJF7z79e1rySQ9/v6+Zzg4lGfL6g7+y2+ceVLXajlP1biY9DmJiIjISqfgXmQJqQbb46UKpUrIeKlCwvPY0JMhl4l6vedr/H19MLSxJzupx36q924MoipByOGREr5B6FxUmM/Bulx6UvA+VYZAdW75YjmkEPfKzyTFfrYF76rj45+/IceO9d30dCSbbjudZnPHV9Pqt/R28MYXb57T+zazkDUYTiX6nERERGSlU3AvskTUB80bujPkywH7jlRY352uBfYwf+Pv5xoMNb5uXS4DwFC+TCkISZqxoSeN71nL9P5nj45x2qoO3nbR6Zy9Ice+I+NTzi0Pcy94Vw3m+3LpOVWYb/fc8Qtdg+FUoc9JREREVjoF9yILbKbjgJsF20nP49BIke5sqrbdfE3TN9dgqNnr1nalSfoen7ri/NrY/L5cpnaupUrUI3/upm7+7MoXTppbvlAOTtjHbAvenbmuqxbIT1XwbipLde74pTZV41Klz0lERERWOgX3IgtoNuOAmwXN67vT7D9eWJBp+uYaDE31ukt29PEbz19Xm1O+UA55+shYbf73Zhaz4N3E+yyfueOX2lSNS5U+JxEREVnpFNyLLKDZpL43C5oTvsfZfV2s6kjVKtVfvK2XG+/Zy8e+8ehJVQSfazDU+LrxUoVS4Lj6wi0cOJ6nVAlbptjPpeBdNZCfa8G75T53/FKbqnGp0uckIiIiK51NN871VLNz5063a9eudh+GrBAvu/5OVmWTk3qEh/Ml+oeLrMulJwXn9b389cH2dZefVwtQZrLNbFSHDMwmGCpWAu74xSH+7kf7eO74OOu7s1z10i1cuK2Xn+49yi33P8vB4Twbu7O87vwNZFJ+bZz84/0jjBYXpuBdY1p9tdCd5o4XERERkVOFmT3gnNvZdJ2Ce5GFc/VN907qjR8plNl/LE/CN85a13VCcD5dsN34fhBVz+/LZbj5movm/fjD0E2k2E8zt/xduwf4mx8+SRA6KqGjUA4IWvx6SSc8ztnYPRHIz7Lgne/ZCb3x851WrznTRURERGSpmSq4V1q+rBjtCNYaU9j7h6I569fnMpjZCWn6jfPJN5qqCN58nF8lCCnUxsu3nlu+WvCu2hs/VcE7iIrepRMenSm/FoBftTPq7Z9O0o/HxNcF8YkFTqvXnOkiIiIistwouBfg1O+lbFew1jgO2AGbVmXozs5tartWxey60okZnV/9dd68Kss7f30rv3bmGopx8btmc8vPpuAdQMr3yCQ9MkmfdMI4OFRgQ3eGbHJirHy+HHDL/c9OCu7NJvfGV4vcLVZaff1nM5wv05n26clG0/xpznQRERERWeoWLLg3sy8CbwAOO+fOj5f1Al8DzgD2AW92zh2zqCvvc8DrgHHgHc65B+PXvB34WPy2n3bOfTle/hLgS0AW+DbwPrfSxhjMk5XQSznXOd3nQ31vfDWtvl610vxMGlhaFcFLem7a87vzl4f4xG2PkfCMzpTPc0N5/vh/Pcb7Lt1eC7LrC95Vg/npCt5VU+t/8IvD5MsVOhsaHsyMTHJyT3sm6XNopMCqjtSizB0/3WfbeA/0DxXIlwLSCZ9cJmqI0ZzpIiIiIrKULWTP/ZeAvwG+UrfsWuAO59xnzOza+PmHgdcC2+PHrwH/Hfi1uDHgj4GdgAMeMLPbnHPH4m3+M3AfUXB/GfCdBTyfU1Y7A9/FMtc53edbq+D84m29M2pgaVUR/GPfePSE88skPJ45OsbASJFiJeCGO/ZgRD3rzkEm4VMJKnzhnl/xyHND/PSpo+wdGCNo0Ua2uiPJ+u4Mx8fLFMoVNq/q4K0XPa/WMHBGbyefu/NJ8uWATNKjUA4ZLVbwDPYOjJFOeKzpStOTTZIvB5yxppPeztQCfdITZtJ41XgPpBMepSBkYKRYC+41Z7qIiIiILGULFtw75+4xszMaFl8BXBL//GXgLqLg/grgK3HP+71mtsrMNsbb3u6cOwpgZrcDl5nZXUC3c+7eePlXgDei4H5Olkrgu5DmOqf7fGsVnM+mgaXZuPzNd2c5NFIgm0wQOkfoHPlSwLquDCOFMgAHhsYJAsfBoQJB6KgP4fcdeWbS+xnRWPeLt63hN3es4/kbcuwbGOOGH+4h6Ru5TJqhQpnP3fkkl/Wv5+4nB9l/bJwgdKR8j2zaZ11XmvFShd7OFIMjJcqho3+4QDkISSX8RZt/fCafbeM9sLYrzXNDeQqVAOec5kwXERERkSVvscfcr3fOHYx/7gfWxz9vAp6t225/vGyq5fubLG/KzK4BrgE4/fTTT+LwT01LJfBdSHOd030hNAvOm/W8T9XAEsTV6KuV7N/4ok187o4nqQRlMkmP8VI0hv6CzVk+8LWf8dhzw5RbDZInCubNoDuTpCebJOUbhUrIs0fH+LeHyhwczjNaqJBNeuQ6o6r2nWmPo6NFvnrf0zgXVbD3PaMcOjrN8MxY1ZGiI5UgnfAZGClSqASMlwI+81svXLSskJk0XjXeA93ZJMX4WIfy5XmbM/1Ur20hIiIiIu3TtoJ6zjlnZosyRt45dxNwE0RT4S3GPpeTpRT4LpRWPebzFVidbNA2XQNLqRJSqEQV7IvlkHIwMQY+CB29nSku3rqGu58c4OBQgUocyH/zkYPMhAG+wWixTEfKJ51IEIQhB44X2bzasSqbrKX3d6QS9HRE6fRjpYBKGKWxe3EVfAsdo8UKI4UK2/u6AMhlkuQySZxzDOXL8xrQTvfZz6Txqtk9kEr489oIsRJqW4iIiIhI+yx2cH/IzDY65w7GafeH4+UHgC11222Olx1gIo2/uvyuePnmJtvLHCx04LtYpgvypptmbq4B+nwEbfXBZSbhMV4OKFUcb37JZp4+MkYQB+v1Be92x4+pCt6lfK9WAX+KjntCwAM8jOPjJVZ1pDgyViLpGT3ZKJDPJn1KQciRsVItuK/ut356ebOowcEzI18OFjQjZCaf/Uwar2Z6D5xMI85KqG0hIiIiIu2z2MH9bcDbgc/E/36jbvkfmNktRAX1huIGgO8Bf2Jmq+PtXg18xDl31MyGzewiooJ6vwP89WKeyKmmWeC7nFKITzbAPpnXn2zQVglCdm7t5UOvPpsv/Xgfzx3Ps6E7y1Uv3cKm3iz3PDHA7v6RaQveJTzD84zejhSvPX8Dl19wGu/88v0cG28e+FcZ4BkEIXg+lENHsRL1yG9elaltty6X5sCxPMVKWBuH7nuGZ+DcRIBfTdE/o7eD8XK4oBkhM/nspwrcZ/MdP9nv2EqobSEiIiIi7bOQU+HdTNTrvtbM9hNVvf8M8E9m9i7gaeDN8ebfJpoGbw/RVHi/CxAH8Z8C7o+3u65aXA/4fSamwvsOKqY3r5ZbCvHJBtjV1weh46nBMUpBiG/G9d/dPe3rZxu0FSvRePhiZXKK/RlrOrn6wtPZ3T/M7v4RPnv74wyOlpq+R33Bu82rs9z+y0OkfCOb8imUQ777WD+4KD1+OgnP8H2jEkS97Q7oy2VI+VHF+KpcJsnaXMBYcWIc+hUXnMZX732aY+NlXDzKJnSwKp3k2teeU/tsFyojZKaffavGq9l8x0/2O7YSaluIiIiISPssZLX8q1usekWTbR3wnhbv80Xgi02W7wLOP5ljlNaWWwpxfZA3UijXxofvP5bnrt2HZxSg+wYHh4qYRT3PYeh44vAod+2ORo+06uGdKmgLQ1creleIg/nQOYrlgCcPj/L4oZFaiv3+Y/lpz9O3uIfcQU/WZyhfZihfJp3wyKZ8PDO60h6FcsCtD+6ntyPJkbFybQx+vWpjhmfRuSY8o687w3WXn1fr1W5MZ0/6PjdcNXkc+gs3r+L67+5m7+AYAGet7eDa154zqee8lWY951N91o1mEjC36p2f7Xf8ZHveV0JtCxERERFpn7YV1JOlbbmlEFeDvCB0PHe8gBl4Zpgxo4yDLas7eOiZY7XXQbV3HD7znV8yXg5b9vCeMF6+FFAKHP/HizexLx4vv29wrDZG/vH+EZ6qG0dfzzN43ppOnr8+Rybp8aM9gwzlS5SDaH3gIGmGeTBSqHB4pAAGq7NJPM8D4NBQnsGxEqGLCt7lUj7FwE2MjwfWdKXoziapBCGHRopUAjhzXScfvmzHjNLZ601Xy6CVZj3nH7r1YYyoWv1MetOnC5in6p2f7Xf8ZHveT5XaFiIiIiKyNJlrMX73VLVz5063a9eudh/Gknf1TfeeEMiMlyr05TLcfM1F87KP2Y7pn2r7ahB3eLhA6ByGEeI4rSdLsRIwnK/UxqpvXTO5Z7n6+nd95X78eAo354hfn6F/uMjm1dkTPot1XWm+9M4LKZZDfrj7EF/+ydM8d3yc3s40fbk0vzg4wvF8iUroaHWb+Z6RTXrxNHIe77v0LP7D2esA+MDXHubIWJGDQ3ka6+WlfCNwjgvPWANQu1aHhvIcbpLK39eVYn1PtnYN3/3ybbMKMhei/kKz79iTh0fAwfb1udqyxmNuPIbqsTU7l6m+x/WfW+O6Zt/x+oaC+oaEaqaDiIiIiMhCM7MHnHM7m65TcC/NVAOZUiVgpFChWAnxPeM9l5zJe1959ry9/0wDpcbtB0eLHBsvk8sk2N6Xq/XUvvvvHyB0jpTvsbYrDcD+4+MEISS8qGicI/r5vZdun3Qul/3l3ewdHKMcRPdEyjd6u1IMjpRI+kYpCEn5Hmu60nSkfA6PFDmtJ8v+4+NkEj7d2ST9wwVGCs3HuXelE5y/qZsdG3Lc88QghXJAVzrBWKnC0bESxUpIR8rnT970Ai49Zz2v+cu7Wd2R4skW1fCTvvE/3hbd19XP5qnBMUIXT23nRWn3jigjYOvazjkFo42f/ZGxIkfHynSlfc5e3z3nqvIvu/5OVmWTWF2p/d39wzjnOGdjT22Zc47+4SgIn21g3Wwf1en4PnXF+bMO1qdqSBARERERWWhTBfdKy5emLtnRx5X7j/P5u35FJQxJ+x49HUluffAAL9y86qQr6892vHP99oeG8gyMlnBAabRE0h+NUq0vP4+tazrYd3ScUhAyOFqkEjqqNeHq4+MghL/+4R6+82g/I8UKW1Z3cM7GHE8OjJHwLa4e7zg4VIyqwQcOMygGIQeO5/HMqISOY+NlAIaocGikWHt/AzJJn0zSI5PwwRx9XRn+5E0v4Kd7j/KP9z1DEDqOeNH7+J6R9I1COeSz33+C7kyS03s7o7T7Jg1wBqzvStU+m/FShVIlnDTdXTWwh6jI3cBIkd972dZJ2Q4zuWb1n/1IocyR0TIOR6EcNk2bn2mhumZp7r5n4GzS/vPlgFIlpCc7+xoQU6XSzyVNfq5DEEREREREFprX7gOQpesne4+yeXWWczf2cGZfjrVdGZK+ceM9eydtV0uJHylMCuaqheiaefbYONmkP2nZVOOdq9uPFMq1wB6iXvj+oSKjhTLXf3c3R8ZKVAKHAeUgbDn/uwPKQVQZf1U2yaHhPN96pJ/OlEfCm6gcX53mrRJCOYgaBULHCQXqLH6s60qxpjPJmes62LI6y7pcmu5skp5MksGxInsOjfL5u/bgeYbvGaXQESUKREFtOuHVPuN3v3wb5SBan/AmpprLJDxO781SqIS1z31Dd4Z1uTSTw+LJx7cul+bWBw9w1+7Ds7pm9ddqYCQuOGhRJkO1N73+O1HfGGBmTbcBauc3XqrgXPRvVzpBLpOYtKwcuFrver2Z1IBoto/6MfmX7Ojj5msu4t8/fCk3X3ORAncRERERWbbUcy+T1PfmDowU2dCdnrS+WUDVrBd+cLTAe295iO5ssun4+OF8mYNDeTIJn3W5NLlMcsoq58P5MkEYMpyv0GwgydHxMiOFCqev6cAzY2C0SJN6dSeohCGlSkgQuiiQDgMSvkfgIAimfgMDEr5Fgb0ZYRgylC/zws2rODJWJJP0aung46UKp/d28j9/vI9UwmN9LsNzQ/lap3w5CEn4xtquTO0zrvYsv/eWhxgrVehITnxW46UKpcDR0/C5exYV3Ws88oQ3ubcboFQJODJaoRDPW+9ctK8brnpRyx72UhANz3AhpPyobbDxOzGb6ekae84//vpzgRN702+8Z++citmpiJ2IiIiIrBQK7leoVlOQ1adTD44UOXC8ABjdcbDWLKB68vAI48UK5TAa696VTnB0LOpdP723Y1JadnUfHalojHMpCDlwLM/aXDTNWrMq56VywHChwnCLsexV5dCx/+h4VFHe9zCDQrl5z31V6ODJw6O1YDhwEDTp7feMWmOBXx9AO/C8uLq+GWbGH/zmWXzitsfIl4MTKrh/7BuPRmPAU8Z4qcJAXPzOAdmEx+BokQPH83SkfG74wRP8ZO9RUgmPfNkoVQL2Hxsn4XnkMglSCY9KELJ3YLRWDwDiLIKG4612+1eD7PFS9Hk6x6Sq/aOFygkp9PUV6ZOeUY63X9sVFaVr/E7Mpqp8qzT3ZsvmOo2cUulFREREZCVQWv4K1Col+/rv7q7Nff7U4Bjl0FEJHQeH8jjnGBwtsP9YnicODXP1TffW0rtHClFg78fjxw+PFAlxpBPeCWnZ1V7+dbkMp/Vk8SwKFvuHi3QkJ76O1e1GCxUOj5ZappvD5F7qYhAdc7ESUpwmsIcoAG7s5e5IepzWkybpRYFyfWAPUWCfiA+omp7vXLTN1jXxWO7Lz6Mvl2EoX6YvNzF3/JbVHeTLAcP5MsfzZRLexJkNFwMK5SDKCPCMz925h6cGR+lM+YShoxwPCcDixoCkz4HjhdqY/Uqc4p/0jfNO66Ez5ZP2PRK+Vwv8q0F2tWhgNLPARMo/xgkp9PXn05FO4JmxpjNVS59vDLKnS4Wfi0t29HHlizcxMFLkl/0jDIwUufLFmxS0i4iIiIjE1HO/At14z95aSna1xzeXSXBouMCG7jQHh6Jx1Uk/GnBeChzPHB2nWAnJJj0K5ZD79x3lwWeOsa4zyeqOJEfGSrgwChIdEIbUqtXDRI+xA1Zlk4wUyhw4Nk4lDpqdg+P58glzkD81ODZlYF9VHfNeH87PdB4Iz6LX4ogC1nJAsRxgZpzemwGMZ46O16rOOxcVfqsEUcG6Ulyxz7mo9/6u3Ydb9hZXe8H7h/K111eP38WPTauzDIxEhfxGChVGgITvkXDRMIBt67oYL1V47nh+8om6qLWuFDh+cXAIn6ghwszY0J2eFGR/6NaHyZeCWmX96nuYWcsU+vphFdd/dzdPHh4FogaNxm3nOxX+rt2HufXBA6zLpTk97rlvVdxRRERERGQlUnC/Aj1xaJjhQgUPw7coSD0yVgIHh4aLhM4RNASeldCxuiPJwGiJMK7CXgkd++Nq8knfIwhDgiB6jSMK9EcKZQZGihQqAZ2pBJtWZTkyVuTwcJHGIe2Hh4v0dae58Z69tdTuavA5XaDuZrBNlQckfKgEUWNAdR9enHK+pivFGWu6omOK08s7Un5ced8RODfp2EMHvgdbVmcpBeGkIQjVoQ8GDI4WKTZUtIeJKeuSXvSh5TLJuCL/RMOBH/fwV59nkz6lwLF5VYbB0RKlIMSzqJXCHGQSPsVKiMORMNh/vEBnyucVO9Zx4z17GSlUMIsbY1zUaOFbVNCv2rs/VTX9sVLA5tXZWop8Yyr/fKfCz3Z2BRERERGRlUbB/QpUTcn24qCyEoa1ALdSN31alQPGSwHlICo8V+0lr59mrVqV3oNaUbdnj47X9uOZ4XvweP8IrZLlQ6B/uMih4SJd6Sh4re7/ZHUmjfFydG4hUAoaNrBobHoldAyOlCgHI3z2ygtq47zXdqVqKfAeE+n41c8hDKkNQRgvVbj+u7sZKwW1mgGH47H1zVQ/03IImYSxd2C01qufTngY0edbDcKH82USvtGZ8kn4HtvWRQ0RewdGCZ2RipeNFMrsP5bHPOOcdV0Mjha57ef99OVSbOhOc+B4IRqXYxN1A3KZBOXAcfG23pbT2bUj0J5pkT4RERERkZVKY+5XoFTCAxdVaC8HYa1iu2dTB9LVRgGm2C6E2rjvwEU/p3yPjoTHsfFKy8C+ngPGigGuyfzuczVWPrHRYtI+XXR+0dj5aP76D936MAMjBZ4+Mk7/cJGNPRkSXnSO1XHxk6fkKwBQCUJ2949w4Pg4/UOFWtG8qVTfp3pN4iHylCphLbAn3u+B43mG8mV+72VbJ41tL1ZCcNGUd0AttT8IHWbGSKESNw5U6M6m2LQqSzLh4cWp+D2ZBFvXdnHd5efxk71HW05nN9tpDOdDtVZBvZlUyxcRERERWSnUc79C1KdYlyohuUyC4/lybRy5b0bCs6aV4hvNJOauNgQY0dj7Z47OLvCLeteb76ixwN1MVVPQW6kfP49zDNYF5YajUA7Y3pfjicMj+GYTjR2xQiXk2aPjHM+XAQjCKH19ppIe+L5HEDrSCZ9OzxiKZwjwbKL+Z42DAAAWqklEQVTqvW/Guq40733l2bxw86ra2PaOlE9n2ieXiXq4S0GIMTFlXZS6P3GO3dkkuUyCoXyZf//wpZOOpVrVv141gJ9NNfz5Ul+xf7bV8kVEREREVgIF96e4avGzJw6PkvSN9bk0HSmfgbgCfTph4Iyg2vM7T6qBtAOenmVgX6867VxHygMX4ns+6aRPqRLSkfI5NlaiOM189FUnkwhQCWFgtMSR0WiKv6BFHkA1sJ+tdCIqarihOxP3spd57nihtj7pezgHp63K0JWOAnI4sdBdfQDsW1RBv1rYMOV7k6bMg9ZB+VQBfDsCbc1XLyIiIiIyNQX3p4BWhc/ef8uD/NvPDk6Eoc7x3FCB03qyrOtK0T9cJKjMphRdc80K3s1bRn1cIC5fCuN9BIyWAi46YzVPDoy17N2fb/Xp9z3ZBMfzlXl7b98z1nUmGRgrM1oYZUNPhoGRaMaC6kwBnhkhjoGRIr5nLeeMrw+At67tZGC0SMI3nHPkMgkGRkt0ZxM456YMyqcK4NsVaGu+ehERERGR1mw+xzUvBzt37nS7du1q92HMm2pvbdK3SUHYS07v4V9/dvCE7aPeeo9SJZzR+Pd2m0ml/MXWmfJnlW4/le54rngHk6auC52Lhkk4cM6R9DwwRyV0bFrVwXWXnzejQLfa8FMNwi/e1stP9h6dUVDe+Fr1lIuIiIiItJeZPeCc29l0nYL7hTfVlGKz2b5+eXVqtXx5Yqq0YC4D0ZewuID7nMbXLwedKY/xckjCM3zPcC4qxud70Xj+dNJjfS4DTEyj15HyueGqFynIFhERERFZgRTc11ns4L5Vz3qzntcbfvAEX7hnL+OlAM9gTWeShO9NmhPegGwyCgpPRV4893oYQsKLxrovxje0nRkCmYSHWdSSETqHb9CRTtQq1E/3vRERERERkZVhquBeY+4X2HRzgld74x965iiFykR4GToYGD2xOJuDUzawh7iXPv4YFvM0O1IeY6X2fK6VICSZiKaWM4NiEHJBX453v3yb0uJFRERERGRGFNwvsGePjbecUuyGHzzB5+/6FeVlMv59IbV7bH2xErJqngvlzYQHVBxQCUj4HoFzJDyvFsgrmBcRERERkZnwpt9ETsaW1R3ky5OLr+XLAV3pBJ+/61eEzq34wB7aXzSvEsJwYe6BvTU8T3pWqxnQSmfKJ+F7+AYhUAkdnhnvueRMBfUiIiIiIjIr6rlfYNUpxQZHCwyNlykGIeEijSOX2ZmucJ8HkxpifJuYGq9UcbUK+h7g+4YLXO09GzMTVmWTbOntYKRQ5vBwgWLgeOkZvUq9FxERERGROVFwPwezrX4fBgEHh4qLeIQyF2YwVX3JbCoqbOeArpTP+ZtWTZpa7vTeBAeOjVMKHJUgJOF5dCSNno4Uh0ei6++b0dORYG1XVAU/l0nie0ZfLsPN11y0CGcpIiIiIiKnIgX3s1Stfl8OAobGyxwcyvPgM8d43fnr6R8u8cShYUaLAcWKku2XgqRnlGc6l16TzTpTPqmEEYTQk002LWz33rrtp5sbvvr9GS9VJlXBf/fLt83xDEVERERERBTcz9qN9+ylHAQcHi4SuigeDMKQf/3ZwXYf2rLmMRFbz+eQBa8xl76Bb0SF7EJH6Fyt5973IJPw2dCTmdUUdNMVwbtkRx/Xgargi4iIiIjIvFJwPwN37T7Mx7/xKPuP5TVWfoH4vrEqm+TIWGnK1HiAlG+UghM3MuD03iwJ32NguEAljKaV684kOG9jjof3DzNeDjCDTT0Z3rxzC7c+eIBSJeDIWAnfDN9BLpNgrBSQTXr05TLzHnyrCr6IiIiIiMw3BfcNGsfTb+hOqVd+gXkGp/VkSPgeR8dLPG91lv6hqMhcvYRnnLWuk2tfew7/160PM1KoUAmjse3ppMfG7gxjpYC+XIaPv/7cGQXQL9y8ihvv2UslGKYUOFIJj+3xHPMKwEVEREREZLlQc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<p>As it would be thought logical, a positive linear correlation is seen between number of retweets and the number of favorites. We could however say,a high number of retweets should be expected for a post with a high number of favorites. to further be sure about this correlation, I will find the pearson correlation between this two columns below.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># get pearson correlation between retwet and favorite</span>
<span class="n">df_new</span><span class="p">[[</span><span class="s2">&quot;favorite_count&quot;</span><span class="p">,</span> <span class="s2">&quot;retweet_count&quot;</span><span class="p">]]</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span>
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      <th>favorite_count</th>
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      <th>favorite_count</th>
      <td>1.000000</td>
      <td>0.928452</td>
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      <th>retweet_count</th>
      <td>0.928452</td>
      <td>1.000000</td>
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<p>YES! The assumption made in the comment for the earlier graph prove correct. A 92% correlation is found which is a very strong positive correlation..</p>

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<h4 id="Analysis/Visualization:">Analysis/Visualization:<a class="anchor-link" href="#Analysis/Visualization:">&#182;</a></h4><p>Analyse and Visualize the most popular source for tweets</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># print the counts of the most popular source for tweets</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>

<span class="c1"># set the plot size</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="c1">#value_counts already in descending order of value</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;source&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">);</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">get_xticklabels</span><span class="p">(),</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">14</span><span class="p">);</span>
<span class="c1">#label x axis</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Tweet Sources&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">18</span><span class="p">);</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Count&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
<span class="c1"># title the graph</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Graph of the sources of tweets&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
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<pre>Twitter for iPhone    1925
Twitter Web Client      28
TweetDeck               10
Name: source, dtype: int64
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<p>As seen above, majorly all tweets has been made from an Iphone.</p>

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<h4 id="Analysis/Visualization:">Analysis/Visualization:<a class="anchor-link" href="#Analysis/Visualization:">&#182;</a></h4><p>Analyse and Visualize the most most common of all dog stages.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># print the counts of the 5 most popular Dog breeds</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>

<span class="c1"># set the plot size</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="c1">#value_counts already in descending order of value</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span><span class="n">df_new</span><span class="p">[</span><span class="s1">&#39;dog_stage&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">df_new</span><span class="p">);</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">get_xticklabels</span><span class="p">(),</span><span class="n">rotation</span> <span class="o">=</span> <span class="mi">90</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span> <span class="mi">14</span><span class="p">);</span>
<span class="c1">#label x axis</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Dog Stage&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">18</span><span class="p">);</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Count&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
<span class="c1"># title the graph</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Graph of the Dog Stages&quot;</span><span class="p">,</span><span class="n">fontsize</span> <span class="o">=</span> <span class="mi">16</span><span class="p">);</span>
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<pre>pupper          201
doggo            62
puppo            22
doggopupper       8
floofer           7
doggofloofer      1
doggopuppo        1
Name: dog_stage, dtype: int64
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<p>As it could be seen from the analysis and the graph, the most common Dog stage is the <strong>pupper</strong>  which counts 201.</p>

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<h2 id="References">References<a class="anchor-link" href="#References">&#182;</a></h2><ul>
<li><a href="https://realpython.com/regex-python/">https://realpython.com/regex-python/</a><br></li>
<li>Alot of <a href="https://stackoverflow.com/">Stack Overflows</a><br></li>
<li><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.iterrows.html">https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.iterrows.html</a><br></li>
<li><a href="https://seaborn.pydata.org/tutorial/regression.html">https://seaborn.pydata.org/tutorial/regression.html</a></li>
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