EDA_시각화사용자함수.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"accelerator":"TPU","colab":{"name":"L.ipynb","provenance":[],"collapsed_sections":[],"machine_shape":"hm"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nIZO1-vX0VhI","executionInfo":{"status":"ok","timestamp":1634036044266,"user_tz":-540,"elapsed":8755,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"78e19197-b6b5-461f-b2db-1c8d2457662f"},"source":["!sudo apt-get install -y fonts-nanum\n","!sudo fc-cache -fv\n","!rm ~/.cache/matplotlib -rf"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Reading package lists... Done\n","Building dependency tree       \n","Reading state information... Done\n","The following NEW packages will be installed:\n","  fonts-nanum\n","0 upgraded, 1 newly installed, 0 to remove and 37 not upgraded.\n","Need to get 9,604 kB of archives.\n","After this operation, 29.5 MB of additional disk space will be used.\n","Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 fonts-nanum all 20170925-1 [9,604 kB]\n","Fetched 9,604 kB in 1s (6,600 kB/s)\n","debconf: unable to initialize frontend: Dialog\n","debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n","debconf: falling back to frontend: Readline\n","debconf: unable to initialize frontend: Readline\n","debconf: (This frontend requires a controlling tty.)\n","debconf: falling back to frontend: Teletype\n","dpkg-preconfigure: unable to re-open stdin: \n","Selecting previously unselected package fonts-nanum.\n","(Reading database ... 155047 files and directories currently installed.)\n","Preparing to unpack .../fonts-nanum_20170925-1_all.deb ...\n","Unpacking fonts-nanum (20170925-1) ...\n","Setting up fonts-nanum (20170925-1) ...\n","Processing triggers for fontconfig (2.12.6-0ubuntu2) ...\n","/usr/share/fonts: caching, new cache contents: 0 fonts, 1 dirs\n","/usr/share/fonts/truetype: caching, new cache contents: 0 fonts, 3 dirs\n","/usr/share/fonts/truetype/humor-sans: caching, new cache contents: 1 fonts, 0 dirs\n","/usr/share/fonts/truetype/liberation: caching, new cache contents: 16 fonts, 0 dirs\n","/usr/share/fonts/truetype/nanum: caching, new cache contents: 10 fonts, 0 dirs\n","/usr/local/share/fonts: caching, new cache contents: 0 fonts, 0 dirs\n","/root/.local/share/fonts: skipping, no such directory\n","/root/.fonts: skipping, no such directory\n","/var/cache/fontconfig: cleaning cache directory\n","/root/.cache/fontconfig: not cleaning non-existent cache directory\n","/root/.fontconfig: not cleaning non-existent cache directory\n","fc-cache: succeeded\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JqWy8kiq9mLS","executionInfo":{"status":"ok","timestamp":1633491090094,"user_tz":-540,"elapsed":21196,"user":{"displayName":"dj W","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"15436059952051218625"}},"outputId":"b9752d74-8e4f-461c-81eb-8d8a4fd0eaaf"},"source":["import os, sys\n","from google.colab import drive\n","drive.mount('/content/drive')\n","my_path = '/content/notebooks'\n","os.symlink('/content/drive/My Drive/Colab Notebooks', my_path)\n","sys.path.insert(0,my_path)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"G-6ihZjx-Lsa","executionInfo":{"elapsed":1057,"status":"ok","timestamp":1633271174959,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"b674ae6e-35dd-42bf-e607-257a8433dc39"},"source":["! ls -l oracle-instantclient*-basiclite-*.rpm || wget https://yum.oracle.com/repo/OracleLinux/OL7/oracle/instantclient/x86_64/getPackage/oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm\n","! ls -l oracle-instantclient*-sqlplus-*.rpm   || wget https://yum.oracle.com/repo/OracleLinux/OL7/oracle/instantclient/x86_64/getPackage/oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm\n"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["ls: cannot access 'oracle-instantclient*-basiclite-*.rpm': No such file or directory\n","--2021-10-03 14:26:11--  https://yum.oracle.com/repo/OracleLinux/OL7/oracle/instantclient/x86_64/getPackage/oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm\n","Resolving yum.oracle.com (yum.oracle.com)... 104.114.161.172, 2600:1407:3c00:599::2a7d, 2600:1407:3c00:589::2a7d\n","Connecting to yum.oracle.com (yum.oracle.com)|104.114.161.172|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 28553496 (27M) [application/x-rpm]\n","Saving to: ‘oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm’\n","\n","oracle-instantclien 100%[===================>]  27.23M   118MB/s    in 0.2s    \n","\n","2021-10-03 14:26:11 (118 MB/s) - ‘oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm’ saved [28553496/28553496]\n","\n","ls: cannot access 'oracle-instantclient*-sqlplus-*.rpm': No such file or directory\n","--2021-10-03 14:26:11--  https://yum.oracle.com/repo/OracleLinux/OL7/oracle/instantclient/x86_64/getPackage/oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm\n","Resolving yum.oracle.com (yum.oracle.com)... 104.114.161.172, 2600:1407:3c00:599::2a7d, 2600:1407:3c00:589::2a7d\n","Connecting to yum.oracle.com (yum.oracle.com)|104.114.161.172|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 702792 (686K) [application/x-rpm]\n","Saving to: ‘oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm’\n","\n","oracle-instantclien 100%[===================>] 686.32K  --.-KB/s    in 0.06s   \n","\n","2021-10-03 14:26:11 (11.5 MB/s) - ‘oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm’ saved [702792/702792]\n","\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Gzb787pm-bF0","executionInfo":{"elapsed":17275,"status":"ok","timestamp":1633271193971,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"06d19178-3c3b-4e15-fc51-496f287cf641"},"source":["! sudo apt-get install alien libaio1"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Reading package lists... Done\n","Building dependency tree       \n","Reading state information... Done\n","libaio1 is already the newest version (0.3.110-5ubuntu0.1).\n","libaio1 set to manually installed.\n","The following additional packages will be installed:\n","  autoconf automake autopoint autotools-dev cpio debhelper debugedit\n","  dh-autoreconf dh-strip-nondeterminism file gettext gettext-base\n","  intltool-debian libarchive-cpio-perl libarchive-zip-perl libdw1\n","  libfile-stripnondeterminism-perl liblua5.2-0 libmagic-mgc libmagic1\n","  libmail-sendmail-perl librpm8 librpmbuild8 librpmio8 librpmsign8 libsigsegv2\n","  libsys-hostname-long-perl libtimedate-perl libtool m4 po-debconf rpm\n","  rpm-common rpm2cpio\n","Suggested packages:\n","  lintian autoconf-archive gnu-standards autoconf-doc libarchive1 dh-make dwz\n","  rpm-i18n gettext-doc libasprintf-dev libgettextpo-dev libtool-doc gcj-jdk\n","  m4-doc libmail-box-perl elfutils rpmlint rpm2html\n","The following NEW packages will be installed:\n","  alien autoconf automake autopoint autotools-dev cpio debhelper debugedit\n","  dh-autoreconf dh-strip-nondeterminism file gettext gettext-base\n","  intltool-debian libarchive-cpio-perl libarchive-zip-perl libdw1\n","  libfile-stripnondeterminism-perl liblua5.2-0 libmagic-mgc libmagic1\n","  libmail-sendmail-perl librpm8 librpmbuild8 librpmio8 librpmsign8 libsigsegv2\n","  libsys-hostname-long-perl libtimedate-perl libtool m4 po-debconf rpm\n","  rpm-common rpm2cpio\n","0 upgraded, 35 newly installed, 0 to remove and 37 not upgraded.\n","Need to get 5,696 kB of archives.\n","After this operation, 25.0 MB of additional disk space will be used.\n","Get:1 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 cpio amd64 2.12+dfsg-6ubuntu0.18.04.4 [86.4 kB]\n","Get:2 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic-mgc amd64 1:5.32-2ubuntu0.4 [184 kB]\n","Get:3 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic1 amd64 1:5.32-2ubuntu0.4 [68.6 kB]\n","Get:4 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 file amd64 1:5.32-2ubuntu0.4 [22.1 kB]\n","Get:5 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gettext-base amd64 0.19.8.1-6ubuntu0.3 [113 kB]\n","Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 autotools-dev all 20180224.1 [39.6 kB]\n","Get:7 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsigsegv2 amd64 2.12-1 [14.7 kB]\n","Get:8 http://archive.ubuntu.com/ubuntu bionic/main amd64 m4 amd64 1.4.18-1 [197 kB]\n","Get:9 http://archive.ubuntu.com/ubuntu bionic/main amd64 autoconf all 2.69-11 [322 kB]\n","Get:10 http://archive.ubuntu.com/ubuntu bionic/main amd64 automake all 1:1.15.1-3ubuntu2 [509 kB]\n","Get:11 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 autopoint all 0.19.8.1-6ubuntu0.3 [426 kB]\n","Get:12 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtool all 2.4.6-2 [194 kB]\n","Get:13 http://archive.ubuntu.com/ubuntu bionic/main amd64 dh-autoreconf all 17 [15.8 kB]\n","Get:14 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libarchive-zip-perl all 1.60-1ubuntu0.1 [84.6 kB]\n","Get:15 http://archive.ubuntu.com/ubuntu bionic/main amd64 libfile-stripnondeterminism-perl all 0.040-1.1~build1 [13.8 kB]\n","Get:16 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtimedate-perl all 2.3000-2 [37.5 kB]\n","Get:17 http://archive.ubuntu.com/ubuntu bionic/main amd64 dh-strip-nondeterminism all 0.040-1.1~build1 [5,208 B]\n","Get:18 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gettext amd64 0.19.8.1-6ubuntu0.3 [1,293 kB]\n","Get:19 http://archive.ubuntu.com/ubuntu bionic/main amd64 intltool-debian all 0.35.0+20060710.4 [24.9 kB]\n","Get:20 http://archive.ubuntu.com/ubuntu bionic/main amd64 po-debconf all 1.0.20 [232 kB]\n","Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 debhelper all 11.1.6ubuntu2 [902 kB]\n","Get:22 http://archive.ubuntu.com/ubuntu bionic/main amd64 liblua5.2-0 amd64 5.2.4-1.1build1 [108 kB]\n","Get:23 http://archive.ubuntu.com/ubuntu bionic/universe amd64 librpmio8 amd64 4.14.1+dfsg1-2 [74.6 kB]\n","Get:24 http://archive.ubuntu.com/ubuntu bionic/universe amd64 librpm8 amd64 4.14.1+dfsg1-2 [173 kB]\n","Get:25 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdw1 amd64 0.170-0.4ubuntu0.1 [203 kB]\n","Get:26 http://archive.ubuntu.com/ubuntu bionic/universe amd64 librpmbuild8 amd64 4.14.1+dfsg1-2 [70.5 kB]\n","Get:27 http://archive.ubuntu.com/ubuntu bionic/universe amd64 librpmsign8 amd64 4.14.1+dfsg1-2 [8,184 B]\n","Get:28 http://archive.ubuntu.com/ubuntu bionic/universe amd64 rpm-common amd64 4.14.1+dfsg1-2 [28.7 kB]\n","Get:29 http://archive.ubuntu.com/ubuntu bionic/universe amd64 rpm2cpio amd64 4.14.1+dfsg1-2 [7,988 B]\n","Get:30 http://archive.ubuntu.com/ubuntu bionic/universe amd64 debugedit amd64 4.14.1+dfsg1-2 [19.1 kB]\n","Get:31 http://archive.ubuntu.com/ubuntu bionic/universe amd64 rpm amd64 4.14.1+dfsg1-2 [119 kB]\n","Get:32 http://archive.ubuntu.com/ubuntu bionic/universe amd64 alien all 8.95 [54.5 kB]\n","Get:33 http://archive.ubuntu.com/ubuntu bionic/main amd64 libarchive-cpio-perl all 0.10-1 [9,644 B]\n","Get:34 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsys-hostname-long-perl all 1.5-1 [11.7 kB]\n","Get:35 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmail-sendmail-perl all 0.80-1 [22.6 kB]\n","Fetched 5,696 kB in 2s (3,353 kB/s)\n","debconf: unable to initialize frontend: Dialog\n","debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 35.)\n","debconf: falling back to frontend: Readline\n","debconf: unable to initialize frontend: Readline\n","debconf: (This frontend requires a controlling tty.)\n","debconf: falling back to frontend: Teletype\n","dpkg-preconfigure: unable to re-open stdin: \n","Selecting previously unselected package cpio.\n","(Reading database ... 155065 files and directories currently installed.)\n","Preparing to unpack .../00-cpio_2.12+dfsg-6ubuntu0.18.04.4_amd64.deb ...\n","Unpacking cpio (2.12+dfsg-6ubuntu0.18.04.4) ...\n","Selecting previously unselected package libmagic-mgc.\n","Preparing to unpack .../01-libmagic-mgc_1%3a5.32-2ubuntu0.4_amd64.deb ...\n","Unpacking libmagic-mgc (1:5.32-2ubuntu0.4) ...\n","Selecting previously unselected package libmagic1:amd64.\n","Preparing to unpack .../02-libmagic1_1%3a5.32-2ubuntu0.4_amd64.deb ...\n","Unpacking libmagic1:amd64 (1:5.32-2ubuntu0.4) ...\n","Selecting previously unselected package file.\n","Preparing to unpack .../03-file_1%3a5.32-2ubuntu0.4_amd64.deb ...\n","Unpacking file (1:5.32-2ubuntu0.4) ...\n","Selecting previously unselected package gettext-base.\n","Preparing to unpack .../04-gettext-base_0.19.8.1-6ubuntu0.3_amd64.deb ...\n","Unpacking gettext-base (0.19.8.1-6ubuntu0.3) ...\n","Selecting previously unselected package autotools-dev.\n","Preparing to unpack .../05-autotools-dev_20180224.1_all.deb ...\n","Unpacking autotools-dev (20180224.1) ...\n","Selecting previously unselected package libsigsegv2:amd64.\n","Preparing to unpack .../06-libsigsegv2_2.12-1_amd64.deb ...\n","Unpacking libsigsegv2:amd64 (2.12-1) ...\n","Selecting previously unselected package m4.\n","Preparing to unpack .../07-m4_1.4.18-1_amd64.deb ...\n","Unpacking m4 (1.4.18-1) ...\n","Selecting previously unselected package autoconf.\n","Preparing to unpack .../08-autoconf_2.69-11_all.deb ...\n","Unpacking autoconf (2.69-11) ...\n","Selecting previously unselected package automake.\n","Preparing to unpack .../09-automake_1%3a1.15.1-3ubuntu2_all.deb ...\n","Unpacking automake (1:1.15.1-3ubuntu2) ...\n","Selecting previously unselected package autopoint.\n","Preparing to unpack .../10-autopoint_0.19.8.1-6ubuntu0.3_all.deb ...\n","Unpacking autopoint (0.19.8.1-6ubuntu0.3) ...\n","Selecting previously unselected package libtool.\n","Preparing to unpack .../11-libtool_2.4.6-2_all.deb ...\n","Unpacking libtool (2.4.6-2) ...\n","Selecting previously unselected package dh-autoreconf.\n","Preparing to unpack .../12-dh-autoreconf_17_all.deb ...\n","Unpacking dh-autoreconf (17) ...\n","Selecting previously unselected package libarchive-zip-perl.\n","Preparing to unpack .../13-libarchive-zip-perl_1.60-1ubuntu0.1_all.deb ...\n","Unpacking libarchive-zip-perl (1.60-1ubuntu0.1) ...\n","Selecting previously unselected package libfile-stripnondeterminism-perl.\n","Preparing to unpack .../14-libfile-stripnondeterminism-perl_0.040-1.1~build1_all.deb ...\n","Unpacking libfile-stripnondeterminism-perl (0.040-1.1~build1) ...\n","Selecting previously unselected package libtimedate-perl.\n","Preparing to unpack .../15-libtimedate-perl_2.3000-2_all.deb ...\n","Unpacking libtimedate-perl (2.3000-2) ...\n","Selecting previously unselected package dh-strip-nondeterminism.\n","Preparing to unpack .../16-dh-strip-nondeterminism_0.040-1.1~build1_all.deb ...\n","Unpacking dh-strip-nondeterminism (0.040-1.1~build1) ...\n","Selecting previously unselected package gettext.\n","Preparing to unpack .../17-gettext_0.19.8.1-6ubuntu0.3_amd64.deb ...\n","Unpacking gettext (0.19.8.1-6ubuntu0.3) ...\n","Selecting previously unselected package intltool-debian.\n","Preparing to unpack .../18-intltool-debian_0.35.0+20060710.4_all.deb ...\n","Unpacking intltool-debian (0.35.0+20060710.4) ...\n","Selecting previously unselected package po-debconf.\n","Preparing to unpack .../19-po-debconf_1.0.20_all.deb ...\n","Unpacking po-debconf (1.0.20) ...\n","Selecting previously unselected package debhelper.\n","Preparing to unpack .../20-debhelper_11.1.6ubuntu2_all.deb ...\n","Unpacking debhelper (11.1.6ubuntu2) ...\n","Selecting previously unselected package liblua5.2-0:amd64.\n","Preparing to unpack .../21-liblua5.2-0_5.2.4-1.1build1_amd64.deb ...\n","Unpacking liblua5.2-0:amd64 (5.2.4-1.1build1) ...\n","Selecting previously unselected package librpmio8.\n","Preparing to unpack .../22-librpmio8_4.14.1+dfsg1-2_amd64.deb ...\n","Unpacking librpmio8 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libmail-sendmail-perl.\n","Preparing to unpack .../34-libmail-sendmail-perl_0.80-1_all.deb ...\n","Unpacking libmail-sendmail-perl (0.80-1) ...\n","Setting up cpio (2.12+dfsg-6ubuntu0.18.04.4) ...\n","update-alternatives: using /bin/mt-gnu to provide /bin/mt (mt) in auto mode\n","Setting up libarchive-zip-perl (1.60-1ubuntu0.1) ...\n","Setting up libdw1:amd64 (0.170-0.4ubuntu0.1) ...\n","Setting up libtimedate-perl (2.3000-2) ...\n","Setting up libsigsegv2:amd64 (2.12-1) ...\n","Setting up libarchive-cpio-perl (0.10-1) ...\n","Setting up gettext-base (0.19.8.1-6ubuntu0.3) ...\n","Setting up m4 (1.4.18-1) ...\n","Setting up libmagic-mgc (1:5.32-2ubuntu0.4) ...\n","Setting up libmagic1:amd64 (1:5.32-2ubuntu0.4) ...\n","Setting up libsys-hostname-long-perl (1.5-1) ...\n","Setting up libmail-sendmail-perl (0.80-1) ...\n","Setting up autotools-dev (20180224.1) ...\n","Setting up liblua5.2-0:amd64 (5.2.4-1.1build1) ...\n","Setting up autopoint (0.19.8.1-6ubuntu0.3) ...\n","Setting up libfile-stripnondeterminism-perl (0.040-1.1~build1) ...\n","Setting up librpmio8 (4.14.1+dfsg1-2) ...\n","Setting up gettext (0.19.8.1-6ubuntu0.3) ...\n","Setting up debugedit (4.14.1+dfsg1-2) ...\n","Setting up autoconf (2.69-11) ...\n","Setting up file (1:5.32-2ubuntu0.4) ...\n","Setting up intltool-debian (0.35.0+20060710.4) ...\n","Setting up automake (1:1.15.1-3ubuntu2) ...\n","update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode\n","Setting up libtool (2.4.6-2) ...\n","Setting up librpm8 (4.14.1+dfsg1-2) ...\n","Setting up po-debconf (1.0.20) ...\n","Setting up rpm-common (4.14.1+dfsg1-2) ...\n","Setting up librpmsign8 (4.14.1+dfsg1-2) ...\n","Setting up librpmbuild8 (4.14.1+dfsg1-2) ...\n","Setting up rpm2cpio (4.14.1+dfsg1-2) ...\n","Setting up rpm (4.14.1+dfsg1-2) ...\n","Setting up dh-autoreconf (17) ...\n","Setting up dh-strip-nondeterminism (0.040-1.1~build1) ...\n","Setting up debhelper (11.1.6ubuntu2) ...\n","Setting up alien (8.95) ...\n","Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n","/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n","\n","Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pI2oIJaE-dnL","executionInfo":{"elapsed":29628,"status":"ok","timestamp":1633271223586,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"6642d564-3a60-4f8d-bb2e-8ae8da06b8d7"},"source":["! sudo alien -i oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","Warning: Skipping conversion of scripts in package oracle-instantclient19.3-basiclite: postinst postrm\n","Warning: Use the --scripts parameter to include the scripts.\n","warning: oracle-instantclient19.3-basiclite-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","\tdpkg --no-force-overwrite -i oracle-instantclient19.3-basiclite_19.3.0.0.0-2_amd64.deb\n","Selecting previously unselected package oracle-instantclient19.3-basiclite.\n","(Reading database ... 156782 files and directories currently installed.)\n","Preparing to unpack oracle-instantclient19.3-basiclite_19.3.0.0.0-2_amd64.deb ...\n","Unpacking oracle-instantclient19.3-basiclite (19.3.0.0.0-2) ...\n","Setting up oracle-instantclient19.3-basiclite (19.3.0.0.0-2) ...\n","Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n","/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n","\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BvdXXu7l-hk0","executionInfo":{"elapsed":5580,"status":"ok","timestamp":1633271229156,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"0f3dd3ee-2846-4a78-d899-9a19ab8d85ee"},"source":["! sudo alien -i --scripts oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","warning: oracle-instantclient19.3-sqlplus-19.3.0.0.0-1.x86_64.rpm: Header V3 RSA/SHA256 Signature, key ID ec551f03: NOKEY\n","\tdpkg --no-force-overwrite -i oracle-instantclient19.3-sqlplus_19.3.0.0.0-2_amd64.deb\n","Selecting previously unselected package oracle-instantclient19.3-sqlplus.\n","(Reading database ... 156819 files and directories currently installed.)\n","Preparing to unpack oracle-instantclient19.3-sqlplus_19.3.0.0.0-2_amd64.deb ...\n","Unpacking oracle-instantclient19.3-sqlplus (19.3.0.0.0-2) ...\n","Setting up oracle-instantclient19.3-sqlplus (19.3.0.0.0-2) ...\n","Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n","/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n","\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"webclHpF-kDu","executionInfo":{"elapsed":464,"status":"ok","timestamp":1633271229614,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"a5f9350b-fb07-4db9-eede-52908d9df59e"},"source":["! type sqlplus\n","! ls -l /usr/bin/sqlplus"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["sqlplus is /usr/bin/sqlplus\n","lrwxrwxrwx 1 root root 41 Oct  3 14:27 /usr/bin/sqlplus -> /usr/lib/oracle/19.3/client64/bin/sqlplus\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"H2Dt3yeg-mSn","executionInfo":{"elapsed":9,"status":"ok","timestamp":1633271229615,"user":{"displayName":"ᄃᄃ","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhK3nDFPAabicMxXqMQarJld4uzN7gs7QKqnlUo_w=s64","userId":"04869734423737972431"},"user_tz":-540},"outputId":"c721a57f-c656-40b1-8bea-d35734009598"},"source":["!sqlplus /nolog <<<'exit'"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["\n","SQL*Plus: Release 19.0.0.0.0 - Production on Sun Oct 3 14:27:06 2021\n","Version 19.3.0.0.0\n","\n","Copyright (c) 1982, 2019, Oracle.  All rights reserved.\n","\n","SQL> "]}]},{"cell_type":"code","metadata":{"colab":{"background_save":true,"resources":{"http://localhost:8080/nbextensions/google.colab/files.js":{"data":"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","headers":[["content-type","application/javascript"]],"ok":true,"status":200,"status_text":""}},"base_uri":"https://localhost:8080/","height":41},"id":"5xazVv1s-oGh","outputId":"b67c8995-4371-417f-eada-a9459f368b85"},"source":["from google.colab import files\n","uploaded = files.upload()"],"execution_count":null,"outputs":[{"data":{"text/html":["\n","     <input type=\"file\" id=\"files-5e032cd2-d4c3-4040-b6f8-63ac673b3bdb\" name=\"files[]\" multiple disabled\n","        style=\"border:none\" />\n","     <output id=\"result-5e032cd2-d4c3-4040-b6f8-63ac673b3bdb\">\n","      Upload widget is only available when the cell has been executed in the\n","      current browser session. Please rerun this cell to enable.\n","      </output>\n","      <script src=\"/nbextensions/google.colab/files.js\"></script> "],"text/plain":["<IPython.core.display.HTML object>"]},"metadata":{},"output_type":"display_data"},{"ename":"TypeError","evalue":"ignored","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-10-21dc3c638f66>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mfiles\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0muploaded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.7/dist-packages/google/colab/files.py\u001b[0m in \u001b[0;36mupload\u001b[0;34m()\u001b[0m\n\u001b[1;32m     67\u001b[0m   \u001b[0mlocal_filenames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 69\u001b[0;31m   \u001b[0;32mwhile\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'action'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'complete'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     70\u001b[0m     result = _output.eval_js(\n\u001b[1;32m     71\u001b[0m         'google.colab._files._uploadFilesContinue(\"{output_id}\")'.format(\n","\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"]}]},{"cell_type":"code","metadata":{"colab":{"background_save":true},"id":"KbKz2pDR-qpZ"},"source":["!unzip -o -d /usr/lib/oracle/19.3/client64/lib/network/admin Wallet_*.zip"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"background_save":true},"id":"X6NltLHD-tAz"},"source":["!grep -A2 tlsdlscjf /usr/lib/oracle/19.3/client64/lib/network/admin/tnsnames.ora"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"background_save":true},"id":"7qf38cdy-us2"},"source":["!cat /usr/lib/oracle/19.3/client64/network/admin/sqlnet.ora"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"background_save":true},"id":"FaUNHfB0-wOP"},"source":["from getpass import getpass\n","password = getpass('Enter the user password:')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"background_save":true},"id":"UjJZd4LY-yRX"},"source":["! sqlplus -L ADMIN/$password@cloudserver_high <<<'show user' "],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"d8SqAq9x-2MN","executionInfo":{"elapsed":10,"status":"ok","timestamp":1632839623921,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"},"user_tz":-540},"outputId":"9a532dce-5917-459e-c132-38e8783cd1e3"},"source":["%%writefile lmembers.sql\n","set echo on feedback on\n","select * from dual;\n","exit"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Writing lmembers.sql\n"]}]},{"cell_type":"markdown","metadata":{"id":"pH96CuR5oFIX"},"source":[""]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"k8Ro54Th-3-n","executionInfo":{"elapsed":4045,"status":"ok","timestamp":1632839627958,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"},"user_tz":-540},"outputId":"86b0f84c-3685-44e4-c028-f186ef754846"},"source":["! sqlplus -s -L ADMIN/$password@tlsdlscjf_high @ lmembers.sql </dev/null"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["\n","D\n","-\n","X\n","\n","1 row selected.\n","\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WQI0Qbz7-55U","executionInfo":{"elapsed":3320,"status":"ok","timestamp":1632839631276,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"},"user_tz":-540},"outputId":"22305ac0-4ea0-43ae-a94d-df552f69eb56"},"source":["pip install --target=$my_path cx_Oracle"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting cx_Oracle\n","  Downloading cx_Oracle-8.2.1-cp37-cp37m-manylinux1_x86_64.whl (827 kB)\n","\u001b[?25l\r\u001b[K     |▍                               | 10 kB 24.9 MB/s eta 0:00:01\r\u001b[K     |▉                               | 20 kB 12.3 MB/s eta 0:00:01\r\u001b[K     |█▏                              | 30 kB 9.5 MB/s eta 0:00:01\r\u001b[K     |█▋                              | 40 kB 8.7 MB/s eta 0:00:01\r\u001b[K     |██                              | 51 kB 5.4 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/content/notebooks/cx_Oracle.cpython-37m-x86_64-linux-gnu.so already exists. Specify --upgrade to force replacement.\u001b[0m\n","\u001b[33mWARNING: Target directory /content/notebooks/cx_Oracle-8.2.1.dist-info already exists. Specify --upgrade to force replacement.\u001b[0m\n","\u001b[33mWARNING: Target directory /content/notebooks/cx_Oracle-doc already exists. Specify --upgrade to force replacement.\u001b[0m\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c_q-uIkvY6XO","executionInfo":{"elapsed":3062,"status":"ok","timestamp":1632839634335,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"},"user_tz":-540},"outputId":"3905b45d-717a-4570-9740-6909141b4efd"},"source":["!pip install cx_oracle"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting cx_oracle\n","  Using cached cx_Oracle-8.2.1-cp37-cp37m-manylinux1_x86_64.whl (827 kB)\n","Installing collected packages: cx-oracle\n","Successfully installed cx-oracle-8.2.1\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"UO7UhjCs-80h","executionInfo":{"elapsed":2525,"status":"ok","timestamp":1632839636852,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"},"user_tz":-540},"outputId":"bc55aa79-aa36-45e2-f837-ab4c420dc155"},"source":["import cx_Oracle\n","con = cx_Oracle.connect(\"ADMIN\", password, \"tlsdlscjf_high\")\n","cur = con.cursor()\n","cur.execute(\"select current_timestamp,sys_context('userenv','instance_name') from dual\")\n","row = cur.fetchone()\n","print(row)"],"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["(datetime.datetime(2021, 9, 28, 14, 33, 56, 400918), 'feyk1pod2')\n"]}]},{"cell_type":"code","metadata":{"id":"k44koTwOQMt_"},"source":["import pandas as pd\n","# 오라클 쿼리 구문 사용자 함수화\n","def get_query(sql):\n","  txt = 'cx_Oracle.connect(\"ADMIN\", password, \"tlsdlscjf_high\")'\n","  con = eval(txt)\n","  return pd.read_sql(sql,con=con)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"3EnJIkbaRDvh"},"source":["# 사용자 함수로 데이터베이스 cust 테이블을 데이터 프레임으로 저장\n","cust_df = get_query('select * from cust')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"s5sjOCRh5njS","executionInfo":{"status":"ok","timestamp":1634036085137,"user_tz":-540,"elapsed":21555,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"c8a119dd-a187-436b-e0df-a45e880b3751"},"source":["import os, sys\n","from google.colab import drive\n","drive.mount('/content/drive')\n","my_path = '/content/notebooks'\n","os.symlink('/content/drive/My Drive/Colab Notebooks', my_path)\n","sys.path.insert(0,my_path)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","metadata":{"id":"8Tm-36isRhsX","colab":{"base_uri":"https://localhost:8080/","height":253},"executionInfo":{"status":"error","timestamp":1634036150094,"user_tz":-540,"elapsed":6260,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"7a9ce60e-527d-4add-9e29-5675d4078a32"},"source":["import pandas as pd\n","from pyarrow import csv\n","\n","purprd_df = csv.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/PURPRD.csv').to_pandas()"],"execution_count":null,"outputs":[{"output_type":"error","ename":"FileNotFoundError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-2-9f861e717d72>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mpyarrow\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcsv\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mpurprd_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcsv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/PURPRD.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_pandas\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/content/notebooks/pyarrow/_csv.pyx\u001b[0m in \u001b[0;36mpyarrow._csv.read_csv\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/_csv.pyx\u001b[0m in \u001b[0;36mpyarrow._csv._get_reader\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/io.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.get_input_stream\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/io.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.get_native_file\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/io.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.OSFile.__cinit__\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/io.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.OSFile._open_readable\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/error.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.pyarrow_internal_check_status\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/content/notebooks/pyarrow/error.pxi\u001b[0m in \u001b[0;36mpyarrow.lib.check_status\u001b[0;34m()\u001b[0m\n","\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] Failed to open local file '/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/PURPRD.csv'. Detail: [errno 2] No such file or directory"]}]},{"cell_type":"code","metadata":{"id":"aHwOmVd0V_k3"},"source":["# 필요 없는 컬럼들 삭제\n","purprd_df.drop(['','점포코드','중분류코드','대분류코드'],axis=1,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"egD8qbG8XGAF"},"source":["prodcat_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/뉴소중대.csv',encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"gEWG0E7_WJGc"},"source":["# 거래내역 데이터 + 제품목록 데이터 merge\n","purprd_cat_df = purprd_df.merge(prodcat_df,how='left',on='소분류코드')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"IrtkLvLPZe9b"},"source":["# 의미 없는 컬럼들 제거\n","purprd_cat_df.drop(['제휴사_y','중분류코드','중분류명'],axis=1, inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"n2g8VBt9Z1zW"},"source":["#purprd_cat_df.to_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/purprd_cat_df.csv',encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"k5XLRHMUcLqr"},"source":["cust_af_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/cust_demo.csv',index_col=0)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rnz7o2ajheT3","executionInfo":{"status":"ok","timestamp":1633415150288,"user_tz":-540,"elapsed":18,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"956fd099-3659-426c-82da-2244d5a2da86"},"source":["cust_af_df['고객번호'].value_counts()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["2047     1\n","10880    1\n","14978    1\n","12931    1\n","2692     1\n","        ..\n","1338     1\n","3387     1\n","13628    1\n","15677    1\n","2049     1\n","Name: 고객번호, Length: 19383, dtype: int64"]},"metadata":{},"execution_count":10}]},{"cell_type":"code","metadata":{"id":"HTnAkbn-is3N"},"source":["cust_af_df.ffill(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"NIwSXr96lBOg"},"source":["cust_af_df['거주지역'] = cust_af_df['거주지역'].astype(int)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1t6mGfLOmI5w","executionInfo":{"status":"ok","timestamp":1633489853005,"user_tz":-540,"elapsed":7,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"526b13a8-f48e-47db-b52a-99f0267f0507"},"source":["cust_af_df['연령대'].unique()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['60세이상', '55세~59세', '50세~54세', '45세~49세', '40세~44세', '35세~39세',\n","       '30세~34세', '25세~29세', '20세~24세', '19세이하'], dtype=object)"]},"metadata":{},"execution_count":10}]},{"cell_type":"code","metadata":{"id":"7AZJu4Ori-KD"},"source":["cust_af_df['연령대'].replace(['20세~24세', '25세~29세', '30세~34세', '35세~39세', '40세~44세','45세~49세', '50세~54세', '55세~59세'],['20대', '20대', '30대', '30대', '40대','40대', '50대', '50대'],inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"1Hk9LN-Gbc6d"},"source":["ppcd_df = purprd_cat_df.merge(cust_af_df,how='left')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"3yPw3SORm-3P"},"source":["ppcd_df.rename(columns={'제휴사_x':'제휴사'},inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"wZ8v98oinW-c"},"source":["ppcd_df.rename(columns={'뉴대분류명':'대분류명','뉴중분류명':'뉴중분류명'},inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"xXlGLoeXNKNu"},"source":["ppcd_df.to_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/ppcd_df.csv',encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"5A3ixJJGKBc8"},"source":["ppcd_df_15_q = ppcd_df[ppcd_df['구매일자'] > 20150000]\n","ppcd_df_14_q = ppcd_df[ppcd_df['구매일자'] < 20150000]\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"CDrjoPCOOe6M"},"source":["ppcd_df_14_uq = ppcd_df_14_q[ppcd_df_14_q['구매일자'] < 20140700]\n","ppcd_df_14_dq = ppcd_df_14_q[ppcd_df_14_q['구매일자'] > 20140700]\n","ppcd_df_15_uq = ppcd_df_15_q[ppcd_df_15_q['구매일자'] < 20150700]\n","ppcd_df_15_dq = ppcd_df_15_q[ppcd_df_15_q['구매일자'] > 20150700]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"NQWvrCx2C7wL"},"source":["ppcd_df_14_1q = ppcd_df_14_uq[ppcd_df_14_uq['구매일자'] < 20140400]\n","ppcd_df_14_2q = ppcd_df_14_uq[ppcd_df_14_uq['구매일자'] > 20140400]\n","ppcd_df_14_3q = ppcd_df_14_dq[ppcd_df_14_dq['구매일자'] < 20141000]\n","ppcd_df_14_4q = ppcd_df_14_dq[ppcd_df_14_dq['구매일자'] > 20141000]\n","\n","ppcd_df_15_1q = ppcd_df_15_uq[ppcd_df_15_uq['구매일자'] < 20150400]\n","ppcd_df_15_2q = ppcd_df_15_uq[ppcd_df_15_uq['구매일자'] > 20150400]\n","ppcd_df_15_3q = ppcd_df_15_dq[ppcd_df_15_dq['구매일자'] < 20151000]\n","ppcd_df_15_4q = ppcd_df_15_dq[ppcd_df_15_dq['구매일자'] > 20151000]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"NGxX8QKypb-C"},"source":["ppcd_df_15_10m = ppcd_df_15_4q[ppcd_df_15_4q['구매일자'] < 20151100]\n","ppcd_df_15_11m = ppcd_df_15_4q[(ppcd_df_15_4q['구매일자'] < 20151200) & (ppcd_df_15_4q['구매일자'] > 20151100)]\n","ppcd_df_15_12m = ppcd_df_15_4q[ppcd_df_15_4q['구매일자'] > 20151200]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"31w_Y2t0qbWq"},"source":["pd10 = ppcd_df_15_10m.groupby('고객번호')[['구매금액']].sum()\n","pd11 = ppcd_df_15_11m.groupby('고객번호')[['구매금액']].sum()\n","pd12 = ppcd_df_15_12m.groupby('고객번호')[['구매금액']].sum()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Ips4uEMvr59f"},"source":["pd10.reset_index(inplace=True)\n","pd11.reset_index(inplace=True)\n","pd12.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"XU5HjgOxsBlP"},"source":["pd10.rename(columns={'구매금액':'10월 구매금액'},inplace=True)\n","pd11.rename(columns={'구매금액':'11월 구매금액'},inplace=True)\n","pd12.rename(columns={'구매금액':'12월 구매금액'},inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ns3Rb7NosRGD"},"source":["pd = pd10.merge(pd11,how='left',on='고객번호')\n","pd = pd.merge(pd12,how='left',on='고객번호')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ULM9C3GStUu0"},"source":["pd.to_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/pd10~12.csv',encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"gKxk2tPmEYsr"},"source":["q_li = [ppcd_df_14_1q,ppcd_df_14_2q,ppcd_df_14_3q,ppcd_df_14_4q,ppcd_df_15_1q,ppcd_df_15_2q,ppcd_df_15_3q,ppcd_df_15_4q]\n","new_li = []\n","for i in q_li:\n","\n","   z = i.groupby('뉴중분류명')[['구매금액']].sum().sort_values(by='구매금액',ascending=False)\n","   z.reset_index(inplace=True)\n","   new_li.append(z)\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"mye9R2_eFWpO"},"source":["y14q1 = new_li[0].head(5).rename(columns={'구매금액':' y14q1'})\n","y14q2 = new_li[1].head(5).rename(columns={'구매금액':' y14q2'})\n","y14q3 = new_li[2].head(5).rename(columns={'구매금액':' y14q3'})\n","y14q4 = new_li[3].head(5).rename(columns={'구매금액':' y14q4'})\n","y15q1 = new_li[4].head(5).rename(columns={'구매금액':' y15q1'})\n","y15q2 = new_li[5].head(5).rename(columns={'구매금액':' y15q2'})\n","y15q3 = new_li[6].head(5).rename(columns={'구매금액':' y15q3'})\n","y15q4 = new_li[7].head(5).rename(columns={'구매금액':' y15q4'})"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":202},"id":"rTNCMsmJCiev","executionInfo":{"status":"ok","timestamp":1633415180615,"user_tz":-540,"elapsed":16,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"52b676e9-a02f-418e-9406-4042a22b8e27"},"source":["y15q1"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>뉴중분류명</th>\n","      <th>y15q1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>패션잡화</td>\n","      <td>22836661654</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>명품</td>\n","      <td>8158628490</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>스포츠</td>\n","      <td>5021361370</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>화장</td>\n","      <td>5014723290</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>육류</td>\n","      <td>3793261746</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  뉴중분류명        y15q1\n","0  패션잡화  22836661654\n","1    명품   8158628490\n","2   스포츠   5021361370\n","3    화장   5014723290\n","4    육류   3793261746"]},"metadata":{},"execution_count":30}]},{"cell_type":"code","metadata":{"id":"heO10TCMLPgT"},"source":["import pandas as pd\n","from functools import reduce\n","dfs = [y14q1,y14q2,y14q3,y14q4,y15q1,y15q2,y15q3,y15q4]\n","df_merge = reduce(lambda left, right: pd.merge(left, right, on='뉴중분류명'), dfs)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"lDUpH0xJO_mq"},"source":["new_merge_df = df_merge.transpose()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2xrQvA2jPaty","executionInfo":{"status":"ok","timestamp":1633415180615,"user_tz":-540,"elapsed":14,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"91fd2dde-21d5-47be-9961-8d6405609a81"},"source":["new_merge_df.info()"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Index: 9 entries, 뉴중분류명 to  y15q4\n","Data columns (total 4 columns):\n"," #   Column  Non-Null Count  Dtype \n","---  ------  --------------  ----- \n"," 0   0       9 non-null      object\n"," 1   1       9 non-null      object\n"," 2   2       9 non-null      object\n"," 3   3       9 non-null      object\n","dtypes: object(4)\n","memory usage: 680.0+ bytes\n"]}]},{"cell_type":"code","metadata":{"id":"N7kux527PHLy"},"source":["new_merge_df.rename(columns=new_merge_df.iloc[0],inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"KuOk7HAWQF3S"},"source":["new_merge_df.drop(new_merge_df.index[0],inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":294},"id":"LuDofL29S10K","executionInfo":{"status":"ok","timestamp":1633415180616,"user_tz":-540,"elapsed":9,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"ef575d3e-1a26-43ea-bdc4-ac98661e7d9a"},"source":["new_merge_df"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>패션잡화</th>\n","      <th>명품</th>\n","      <th>스포츠</th>\n","      <th>화장</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>y14q1</th>\n","      <td>21231691600</td>\n","      <td>6647381130</td>\n","      <td>5053122850</td>\n","      <td>4432004158</td>\n","    </tr>\n","    <tr>\n","      <th>y14q2</th>\n","      <td>19723526790</td>\n","      <td>7024598670</td>\n","      <td>6827740710</td>\n","      <td>5010443720</td>\n","    </tr>\n","    <tr>\n","      <th>y14q3</th>\n","      <td>17172826610</td>\n","      <td>5970380150</td>\n","      <td>4758543430</td>\n","      <td>4418886690</td>\n","    </tr>\n","    <tr>\n","      <th>y14q4</th>\n","      <td>29594395320</td>\n","      <td>9161219920</td>\n","      <td>7583422670</td>\n","      <td>5380879400</td>\n","    </tr>\n","    <tr>\n","      <th>y15q1</th>\n","      <td>22836661654</td>\n","      <td>8158628490</td>\n","      <td>5021361370</td>\n","      <td>5014723290</td>\n","    </tr>\n","    <tr>\n","      <th>y15q2</th>\n","      <td>21497514851</td>\n","      <td>8860682400</td>\n","      <td>5910629760</td>\n","      <td>5132948840</td>\n","    </tr>\n","    <tr>\n","      <th>y15q3</th>\n","      <td>18058024639</td>\n","      <td>7719928180</td>\n","      <td>4378079132</td>\n","      <td>4720942730</td>\n","    </tr>\n","    <tr>\n","      <th>y15q4</th>\n","      <td>29124358575</td>\n","      <td>11059478870</td>\n","      <td>7306509700</td>\n","      <td>5218423260</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["               패션잡화           명품         스포츠          화장\n"," y14q1  21231691600   6647381130  5053122850  4432004158\n"," y14q2  19723526790   7024598670  6827740710  5010443720\n"," y14q3  17172826610   5970380150  4758543430  4418886690\n"," y14q4  29594395320   9161219920  7583422670  5380879400\n"," y15q1  22836661654   8158628490  5021361370  5014723290\n"," y15q2  21497514851   8860682400  5910629760  5132948840\n"," y15q3  18058024639   7719928180  4378079132  4720942730\n"," y15q4  29124358575  11059478870  7306509700  5218423260"]},"metadata":{},"execution_count":36}]},{"cell_type":"code","metadata":{"id":"zwCuf4ePSDdP"},"source":["from sklearn.preprocessing import StandardScaler\n","\n","scaler = StandardScaler()\n","\n","scaled = scaler.fit_transform(new_merge_df)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"XfjST6HESuTx"},"source":["scaled_merge = pd.DataFrame(scaled,columns=new_merge_df.columns,index=new_merge_df.index)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":294},"id":"bASmxWHxTjuM","executionInfo":{"status":"ok","timestamp":1633415181088,"user_tz":-540,"elapsed":2,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"d0f919bd-ab7d-442d-c22c-9b3d54068271"},"source":["scaled_merge"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>패션잡화</th>\n","      <th>명품</th>\n","      <th>스포츠</th>\n","      <th>화장</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>y14q1</th>\n","      <td>-0.268542</td>\n","      <td>-0.941323</td>\n","      <td>-0.691200</td>\n","      <td>-1.449332</td>\n","    </tr>\n","    <tr>\n","      <th>y14q2</th>\n","      <td>-0.613760</td>\n","      <td>-0.692649</td>\n","      <td>0.838621</td>\n","      <td>0.282253</td>\n","    </tr>\n","    <tr>\n","      <th>y14q3</th>\n","      <td>-1.197615</td>\n","      <td>-1.387625</td>\n","      <td>-0.945144</td>\n","      <td>-1.488600</td>\n","    </tr>\n","    <tr>\n","      <th>y14q4</th>\n","      <td>1.645681</td>\n","      <td>0.715883</td>\n","      <td>1.490061</td>\n","      <td>1.391169</td>\n","    </tr>\n","    <tr>\n","      <th>y15q1</th>\n","      <td>0.098836</td>\n","      <td>0.054941</td>\n","      <td>-0.718580</td>\n","      <td>0.295064</td>\n","    </tr>\n","    <tr>\n","      <th>y15q2</th>\n","      <td>-0.207695</td>\n","      <td>0.517759</td>\n","      <td>0.048020</td>\n","      <td>0.648978</td>\n","    </tr>\n","    <tr>\n","      <th>y15q3</th>\n","      <td>-0.994994</td>\n","      <td>-0.234265</td>\n","      <td>-1.273125</td>\n","      <td>-0.584381</td>\n","    </tr>\n","    <tr>\n","      <th>y15q4</th>\n","      <td>1.538089</td>\n","      <td>1.967278</td>\n","      <td>1.251347</td>\n","      <td>0.904849</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            패션잡화        명품       스포츠        화장\n"," y14q1 -0.268542 -0.941323 -0.691200 -1.449332\n"," y14q2 -0.613760 -0.692649  0.838621  0.282253\n"," y14q3 -1.197615 -1.387625 -0.945144 -1.488600\n"," y14q4  1.645681  0.715883  1.490061  1.391169\n"," y15q1  0.098836  0.054941 -0.718580  0.295064\n"," y15q2 -0.207695  0.517759  0.048020  0.648978\n"," y15q3 -0.994994 -0.234265 -1.273125 -0.584381\n"," y15q4  1.538089  1.967278  1.251347  0.904849"]},"metadata":{},"execution_count":39}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":602},"id":"B3hAbmK-bV7q","executionInfo":{"status":"ok","timestamp":1633415181759,"user_tz":-540,"elapsed":673,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"9d52993e-e964-45d5-e613-361aeb972ed5"},"source":["import matplotlib.pyplot as plt\n","import warnings\n","warnings.filterwarnings('ignore')\n","plt.figure(figsize=(10,10))\n","plt.plot(new_merge_df)\n","plt.legend(new_merge_df.columns)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":592},"id":"3zMR1mlNLaEJ","executionInfo":{"status":"ok","timestamp":1633415181759,"user_tz":-540,"elapsed":13,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"c2ba40d3-ef10-4395-c534-213344078633"},"source":["plt.figure(figsize=(10,10))\n","plt.plot(scaled_merge)\n","plt.legend(scaled_merge.columns)\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":202},"id":"f9htrqK9H0fY","executionInfo":{"status":"ok","timestamp":1633415181759,"user_tz":-540,"elapsed":8,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"e9beba8f-f630-401b-d075-a80f5cb50e6a"},"source":["pd.concat([y14q1,y14q2,y14q3,y14q4,y15q1,y15q2,y15q3,y15q4],axis=1)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>뉴중분류명</th>\n","      <th>y14q1</th>\n","      <th>뉴중분류명</th>\n","      <th>y14q2</th>\n","      <th>뉴중분류명</th>\n","      <th>y14q3</th>\n","      <th>뉴중분류명</th>\n","      <th>y14q4</th>\n","      <th>뉴중분류명</th>\n","      <th>y15q1</th>\n","      <th>뉴중분류명</th>\n","      <th>y15q2</th>\n","      <th>뉴중분류명</th>\n","      <th>y15q3</th>\n","      <th>뉴중분류명</th>\n","      <th>y15q4</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>패션잡화</td>\n","      <td>21231691600</td>\n","      <td>패션잡화</td>\n","      <td>19723526790</td>\n","      <td>패션잡화</td>\n","      <td>17172826610</td>\n","      <td>패션잡화</td>\n","      <td>29594395320</td>\n","      <td>패션잡화</td>\n","      <td>22836661654</td>\n","      <td>패션잡화</td>\n","      <td>21497514851</td>\n","      <td>패션잡화</td>\n","      <td>18058024639</td>\n","      <td>패션잡화</td>\n","      <td>29124358575</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>명품</td>\n","      <td>6647381130</td>\n","      <td>명품</td>\n","      <td>7024598670</td>\n","      <td>명품</td>\n","      <td>5970380150</td>\n","      <td>명품</td>\n","      <td>9161219920</td>\n","      <td>명품</td>\n","      <td>8158628490</td>\n","      <td>명품</td>\n","      <td>8860682400</td>\n","      <td>명품</td>\n","      <td>7719928180</td>\n","      <td>명품</td>\n","      <td>11059478870</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>스포츠</td>\n","      <td>5053122850</td>\n","      <td>스포츠</td>\n","      <td>6827740710</td>\n","      <td>스포츠</td>\n","      <td>4758543430</td>\n","      <td>스포츠</td>\n","      <td>7583422670</td>\n","      <td>스포츠</td>\n","      <td>5021361370</td>\n","      <td>스포츠</td>\n","      <td>5910629760</td>\n","      <td>화장</td>\n","      <td>4720942730</td>\n","      <td>스포츠</td>\n","      <td>7306509700</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>화장</td>\n","      <td>4432004158</td>\n","      <td>화장</td>\n","      <td>5010443720</td>\n","      <td>화장</td>\n","      <td>4418886690</td>\n","      <td>화장</td>\n","      <td>5380879400</td>\n","      <td>화장</td>\n","      <td>5014723290</td>\n","      <td>화장</td>\n","      <td>5132948840</td>\n","      <td>스포츠</td>\n","      <td>4378079132</td>\n","      <td>화장</td>\n","      <td>5218423260</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>육류</td>\n","      <td>3288094574</td>\n","      <td>출산유아동</td>\n","      <td>3520704217</td>\n","      <td>육류</td>\n","      <td>3631697416</td>\n","      <td>남성의류</td>\n","      <td>3543949860</td>\n","      <td>육류</td>\n","      <td>3793261746</td>\n","      <td>가전</td>\n","      <td>3190150090</td>\n","      <td>육류</td>\n","      <td>4086401096</td>\n","      <td>가전</td>\n","      <td>4260072180</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  뉴중분류명        y14q1  뉴중분류명        y14q2  ... 뉴중분류명        y15q3 뉴중분류명        y15q4\n","0  패션잡화  21231691600   패션잡화  19723526790  ...  패션잡화  18058024639  패션잡화  29124358575\n","1    명품   6647381130     명품   7024598670  ...    명품   7719928180    명품  11059478870\n","2   스포츠   5053122850    스포츠   6827740710  ...    화장   4720942730   스포츠   7306509700\n","3    화장   4432004158     화장   5010443720  ...   스포츠   4378079132    화장   5218423260\n","4    육류   3288094574  출산유아동   3520704217  ...    육류   4086401096    가전   4260072180\n","\n","[5 rows x 16 columns]"]},"metadata":{},"execution_count":42}]},{"cell_type":"code","metadata":{"id":"Du6j9k8UPicu"},"source":["aggu = {'영수증번호':'count','구매금액':'sum'}\n","ppcd_df_mean14_1q = ppcd_df_14_1q.groupby('고객번호')[['영수증번호','구매금액']].agg(aggu)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"zbBlKpw8QYdt"},"source":["ppcd_df_mean14_1q.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"RbFS9ai7QeTq"},"source":["ppcd_df_mean14_1q['1회 평균 구매금액'] = ppcd_df_mean14_1q['구매금액'] / ppcd_df_mean14_1q['영수증번호']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"wpQjAw31QtE7"},"source":["aggu = {'영수증번호':'count','구매금액':'sum'}\n","ppcd_df_mean15_1q = ppcd_df_15_1q.groupby('고객번호')[['영수증번호','구매금액']].agg(aggu)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"oqPjmupXRPER"},"source":["ppcd_df_mean15_1q.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"XX_q7g4TRTB6"},"source":["ppcd_df_mean15_1q['1회 평균 구매금액'] = ppcd_df_mean15_1q['구매금액'] / ppcd_df_mean15_1q['영수증번호']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"WdvizcNdRWrh"},"source":["ppcd_df_141q_151q = ppcd_df_mean14_1q.merge(ppcd_df_mean15_1q,how='left',on='고객번호')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"n6hq6exNTggE"},"source":["ppcd_df_141q_151q.rename(columns={'1회 평균 구매금액_x':'14년도 상반기','1회 평균 구매금액_y':'15년도 상반기'},inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":414},"id":"n-BJyJkxTsfY","executionInfo":{"status":"ok","timestamp":1633415182272,"user_tz":-540,"elapsed":7,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"ae40f764-e3f7-4664-b9cc-38fc83f4ea5c"},"source":["ppcd_df_141q_151q"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>영수증번호_x</th>\n","      <th>구매금액_x</th>\n","      <th>14년도 상반기</th>\n","      <th>영수증번호_y</th>\n","      <th>구매금액_y</th>\n","      <th>15년도 상반기</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>121</td>\n","      <td>9141590</td>\n","      <td>75550.330579</td>\n","      <td>172.0</td>\n","      <td>9302985.0</td>\n","      <td>54087.122093</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>184</td>\n","      <td>14123470</td>\n","      <td>76757.989130</td>\n","      <td>145.0</td>\n","      <td>18481480.0</td>\n","      <td>127458.482759</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>139</td>\n","      <td>302782</td>\n","      <td>2178.287770</td>\n","      <td>87.0</td>\n","      <td>279310.0</td>\n","      <td>3210.459770</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>93</td>\n","      <td>1309643</td>\n","      <td>14082.182796</td>\n","      <td>122.0</td>\n","      <td>1737292.0</td>\n","      <td>14240.098361</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>184</td>\n","      <td>3145330</td>\n","      <td>17094.184783</td>\n","      <td>93.0</td>\n","      <td>2124430.0</td>\n","      <td>22843.333333</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19049</th>\n","      <td>19333</td>\n","      <td>111</td>\n","      <td>613130</td>\n","      <td>5523.693694</td>\n","      <td>132.0</td>\n","      <td>850690.0</td>\n","      <td>6444.621212</td>\n","    </tr>\n","    <tr>\n","      <th>19050</th>\n","      <td>19334</td>\n","      <td>132</td>\n","      <td>834049</td>\n","      <td>6318.553030</td>\n","      <td>235.0</td>\n","      <td>1699930.0</td>\n","      <td>7233.744681</td>\n","    </tr>\n","    <tr>\n","      <th>19051</th>\n","      <td>19335</td>\n","      <td>95</td>\n","      <td>937734</td>\n","      <td>9870.884211</td>\n","      <td>279.0</td>\n","      <td>2199423.0</td>\n","      <td>7883.236559</td>\n","    </tr>\n","    <tr>\n","      <th>19052</th>\n","      <td>19336</td>\n","      <td>8</td>\n","      <td>449600</td>\n","      <td>56200.000000</td>\n","      <td>63.0</td>\n","      <td>2896520.0</td>\n","      <td>45976.507937</td>\n","    </tr>\n","    <tr>\n","      <th>19053</th>\n","      <td>19337</td>\n","      <td>7</td>\n","      <td>16520</td>\n","      <td>2360.000000</td>\n","      <td>141.0</td>\n","      <td>534370.0</td>\n","      <td>3789.858156</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19054 rows × 7 columns</p>\n","</div>"],"text/plain":["        고객번호  영수증번호_x    구매금액_x  ...  영수증번호_y      구매금액_y       15년도 상반기\n","0          1      121   9141590  ...    172.0   9302985.0   54087.122093\n","1          2      184  14123470  ...    145.0  18481480.0  127458.482759\n","2          3      139    302782  ...     87.0    279310.0    3210.459770\n","3          4       93   1309643  ...    122.0   1737292.0   14240.098361\n","4          5      184   3145330  ...     93.0   2124430.0   22843.333333\n","...      ...      ...       ...  ...      ...         ...            ...\n","19049  19333      111    613130  ...    132.0    850690.0    6444.621212\n","19050  19334      132    834049  ...    235.0   1699930.0    7233.744681\n","19051  19335       95    937734  ...    279.0   2199423.0    7883.236559\n","19052  19336        8    449600  ...     63.0   2896520.0   45976.507937\n","19053  19337        7     16520  ...    141.0    534370.0    3789.858156\n","\n","[19054 rows x 7 columns]"]},"metadata":{},"execution_count":51}]},{"cell_type":"code","metadata":{"id":"g6uwwWhiRu8C"},"source":["ppcd_df_14u_15u = ppcd_df_141q_151q[['고객번호','14년도 상반기','15년도 상반기']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"aDlWz_8CSm_4"},"source":["merge_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset2.csv',encoding='cp949',index_col=0)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":414},"id":"VyPnofpJS8RU","executionInfo":{"status":"ok","timestamp":1633415182272,"user_tz":-540,"elapsed":6,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"ee451ef3-9662-440e-8385-bc53be98048e"},"source":["ppcd_df_14u_15u"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>14년도 상반기</th>\n","      <th>15년도 상반기</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>75550.330579</td>\n","      <td>54087.122093</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>76757.989130</td>\n","      <td>127458.482759</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>2178.287770</td>\n","      <td>3210.459770</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>14082.182796</td>\n","      <td>14240.098361</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>17094.184783</td>\n","      <td>22843.333333</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19049</th>\n","      <td>19333</td>\n","      <td>5523.693694</td>\n","      <td>6444.621212</td>\n","    </tr>\n","    <tr>\n","      <th>19050</th>\n","      <td>19334</td>\n","      <td>6318.553030</td>\n","      <td>7233.744681</td>\n","    </tr>\n","    <tr>\n","      <th>19051</th>\n","      <td>19335</td>\n","      <td>9870.884211</td>\n","      <td>7883.236559</td>\n","    </tr>\n","    <tr>\n","      <th>19052</th>\n","      <td>19336</td>\n","      <td>56200.000000</td>\n","      <td>45976.507937</td>\n","    </tr>\n","    <tr>\n","      <th>19053</th>\n","      <td>19337</td>\n","      <td>2360.000000</td>\n","      <td>3789.858156</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19054 rows × 3 columns</p>\n","</div>"],"text/plain":["        고객번호      14년도 상반기       15년도 상반기\n","0          1  75550.330579   54087.122093\n","1          2  76757.989130  127458.482759\n","2          3   2178.287770    3210.459770\n","3          4  14082.182796   14240.098361\n","4          5  17094.184783   22843.333333\n","...      ...           ...            ...\n","19049  19333   5523.693694    6444.621212\n","19050  19334   6318.553030    7233.744681\n","19051  19335   9870.884211    7883.236559\n","19052  19336  56200.000000   45976.507937\n","19053  19337   2360.000000    3789.858156\n","\n","[19054 rows x 3 columns]"]},"metadata":{},"execution_count":54}]},{"cell_type":"code","metadata":{"id":"d3-YVHE2SxYM"},"source":["new_df = merge_df.merge(ppcd_df_14u_15u,how='left',on='고객번호')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"QFVkeCc6UmxG"},"source":["new_df['1회 평균 구매액 증감량'] = round(((new_df['15년도 상반기'] - new_df['14년도 상반기']) / new_df['14년도 상반기']) * 100,2)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"yuj3yvoHWBLD"},"source":["new_df['1회 평균 구매액 증감량'].dropna(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"OuvfrFkxWdZJ"},"source":["new_df.drop('방문등급',axis=1,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"f5xQf4jRaSFA"},"source":["def ge2(x):\n","  ''\n","  if x <= 465: y = 1\n","  elif x <= 655: y = 2\n","  elif x <= 860: y = 3\n","  else: y= 4\n","  ''\n","  return y"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"u73xUX2Valwl"},"source":["new_df['방문등급'] = new_df['방문횟수'].apply(ge2)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"9HUY5-zqauh1"},"source":["new_df2 = new_df.copy()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ns4PHoVsbPIN"},"source":["new_df2.dropna(axis=0,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":202},"id":"3NHtkgYBbT-7","executionInfo":{"status":"ok","timestamp":1633415182674,"user_tz":-540,"elapsed":6,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"35b69a42-5eeb-4093-ff49-a82b97f6e681"},"source":["new_df2.groupby('방문등급')[['1회 평균 구매액 증감량']].mean()"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>1회 평균 구매액 증감량</th>\n","    </tr>\n","    <tr>\n","      <th>방문등급</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>26.824220</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>23.001297</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>14.007346</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>12.084006</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      1회 평균 구매액 증감량\n","방문등급               \n","1         26.824220\n","2         23.001297\n","3         14.007346\n","4         12.084006"]},"metadata":{},"execution_count":63}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":767},"id":"_FbvfXysbvQN","executionInfo":{"status":"ok","timestamp":1633415182675,"user_tz":-540,"elapsed":6,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"153385f1-f010-4220-a30a-54a3d7f3da8e"},"source":["new_df2"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>구매금액</th>\n","      <th>14년 1분기</th>\n","      <th>14년 2분기</th>\n","      <th>14년 3분기</th>\n","      <th>14년 4분기</th>\n","      <th>15년 1분기</th>\n","      <th>15년 2분기</th>\n","      <th>15년 3분기</th>\n","      <th>15년4분기</th>\n","      <th>14년도 구매액</th>\n","      <th>15년도 구매액</th>\n","      <th>연도별 구매액 증감률</th>\n","      <th>증감 여부</th>\n","      <th>14년도 상_하반기 매출 증감률</th>\n","      <th>15년도 상_하반기 매출 증감률</th>\n","      <th>14년도 반기 기준 증감 여부</th>\n","      <th>15년도 반기 기준 증감 여부</th>\n","      <th>오전/오후</th>\n","      <th>총구매금액</th>\n","      <th>총구매등급</th>\n","      <th>평일/주말</th>\n","      <th>방문횟수</th>\n","      <th>종합등급</th>\n","      <th>14년도 상반기</th>\n","      <th>15년도 상반기</th>\n","      <th>1회 평균 구매액 증감량</th>\n","      <th>방문등급</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>85042550</td>\n","      <td>9141590</td>\n","      <td>10783765</td>\n","      <td>10781550</td>\n","      <td>23334762</td>\n","      <td>9302985</td>\n","      <td>8595380</td>\n","      <td>7806580</td>\n","      <td>5295938</td>\n","      <td>54041667</td>\n","      <td>31000883</td>\n","      <td>-23040784</td>\n","      <td>감소</td>\n","      <td>14190957</td>\n","      <td>-4795847</td>\n","      <td>증가</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>85042550</td>\n","      <td>4</td>\n","      <td>평일</td>\n","      <td>681</td>\n","      <td>4</td>\n","      <td>75550.330579</td>\n","      <td>54087.122093</td>\n","      <td>-28.41</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>99880760</td>\n","      <td>14123470</td>\n","      <td>10199760</td>\n","      <td>14841180</td>\n","      <td>7080920</td>\n","      <td>18481480</td>\n","      <td>9310130</td>\n","      <td>13842600</td>\n","      <td>12001220</td>\n","      <td>46245330</td>\n","      <td>53635430</td>\n","      <td>7390100</td>\n","      <td>증가</td>\n","      <td>-2401130</td>\n","      <td>-1947790</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>99880760</td>\n","      <td>4</td>\n","      <td>평일</td>\n","      <td>676</td>\n","      <td>4</td>\n","      <td>76757.989130</td>\n","      <td>127458.482759</td>\n","      <td>66.05</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>3165167</td>\n","      <td>302782</td>\n","      <td>548433</td>\n","      <td>648188</td>\n","      <td>394366</td>\n","      <td>279310</td>\n","      <td>312970</td>\n","      <td>421017</td>\n","      <td>258101</td>\n","      <td>1893769</td>\n","      <td>1271398</td>\n","      <td>-622371</td>\n","      <td>감소</td>\n","      <td>191339</td>\n","      <td>86838</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오전</td>\n","      <td>3165167</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>490</td>\n","      <td>2</td>\n","      <td>2178.287770</td>\n","      <td>3210.459770</td>\n","      <td>47.38</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>16693810</td>\n","      <td>1309643</td>\n","      <td>3732463</td>\n","      <td>2434410</td>\n","      <td>1823100</td>\n","      <td>1737292</td>\n","      <td>1919645</td>\n","      <td>2127112</td>\n","      <td>1610145</td>\n","      <td>9299616</td>\n","      <td>7394194</td>\n","      <td>-1905422</td>\n","      <td>감소</td>\n","      <td>-784596</td>\n","      <td>80320</td>\n","      <td>감소</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>16693810</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>533</td>\n","      <td>2</td>\n","      <td>14082.182796</td>\n","      <td>14240.098361</td>\n","      <td>1.12</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>13237070</td>\n","      <td>3145330</td>\n","      <td>2314820</td>\n","      <td>1827290</td>\n","      <td>398440</td>\n","      <td>2124430</td>\n","      <td>810500</td>\n","      <td>0</td>\n","      <td>2616260</td>\n","      <td>7685880</td>\n","      <td>5551190</td>\n","      <td>-2134690</td>\n","      <td>감소</td>\n","      <td>-3234420</td>\n","      <td>-318670</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>13237070</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>426</td>\n","      <td>2</td>\n","      <td>17094.184783</td>\n","      <td>22843.333333</td>\n","      <td>33.63</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19332</th>\n","      <td>19333</td>\n","      <td>4737498</td>\n","      <td>613130</td>\n","      <td>913988</td>\n","      <td>578210</td>\n","      <td>455450</td>\n","      <td>850690</td>\n","      <td>553590</td>\n","      <td>252010</td>\n","      <td>520430</td>\n","      <td>2560778</td>\n","      <td>2176720</td>\n","      <td>-384058</td>\n","      <td>감소</td>\n","      <td>-493458</td>\n","      <td>-631840</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>4737498</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>635</td>\n","      <td>2</td>\n","      <td>5523.693694</td>\n","      <td>6444.621212</td>\n","      <td>16.67</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>19333</th>\n","      <td>19334</td>\n","      <td>12353531</td>\n","      <td>834049</td>\n","      <td>2705917</td>\n","      <td>2575628</td>\n","      <td>2819868</td>\n","      <td>1699930</td>\n","      <td>767309</td>\n","      <td>484920</td>\n","      <td>465910</td>\n","      <td>8935462</td>\n","      <td>3418069</td>\n","      <td>-5517393</td>\n","      <td>감소</td>\n","      <td>1855530</td>\n","      <td>-1516409</td>\n","      <td>증가</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>12353531</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>495</td>\n","      <td>2</td>\n","      <td>6318.553030</td>\n","      <td>7233.744681</td>\n","      <td>14.48</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>19334</th>\n","      <td>19335</td>\n","      <td>16700479</td>\n","      <td>937734</td>\n","      <td>2783122</td>\n","      <td>2320105</td>\n","      <td>2042511</td>\n","      <td>2199423</td>\n","      <td>2852695</td>\n","      <td>1553645</td>\n","      <td>2011244</td>\n","      <td>8083472</td>\n","      <td>8617007</td>\n","      <td>533535</td>\n","      <td>증가</td>\n","      <td>641760</td>\n","      <td>-1487229</td>\n","      <td>증가</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>16700479</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>581</td>\n","      <td>2</td>\n","      <td>9870.884211</td>\n","      <td>7883.236559</td>\n","      <td>-20.14</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>19335</th>\n","      <td>19336</td>\n","      <td>30610840</td>\n","      <td>449600</td>\n","      <td>3321870</td>\n","      <td>3160370</td>\n","      <td>5886390</td>\n","      <td>2896520</td>\n","      <td>3625250</td>\n","      <td>6322150</td>\n","      <td>4948690</td>\n","      <td>12818230</td>\n","      <td>17792610</td>\n","      <td>4974380</td>\n","      <td>증가</td>\n","      <td>5275290</td>\n","      <td>4749070</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>30610840</td>\n","      <td>3</td>\n","      <td>평일</td>\n","      <td>432</td>\n","      <td>2</td>\n","      <td>56200.000000</td>\n","      <td>45976.507937</td>\n","      <td>-18.19</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>19336</th>\n","      <td>19337</td>\n","      <td>4976309</td>\n","      <td>16520</td>\n","      <td>71970</td>\n","      <td>603219</td>\n","      <td>765510</td>\n","      <td>534370</td>\n","      <td>660260</td>\n","      <td>1216470</td>\n","      <td>1107990</td>\n","      <td>1457219</td>\n","      <td>3519090</td>\n","      <td>2061871</td>\n","      <td>증가</td>\n","      <td>1280239</td>\n","      <td>1129830</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>4976309</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>703</td>\n","      <td>2</td>\n","      <td>2360.000000</td>\n","      <td>3789.858156</td>\n","      <td>60.59</td>\n","      <td>3</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19001 rows × 28 columns</p>\n","</div>"],"text/plain":["        고객번호      구매금액   14년 1분기  ...       15년도 상반기  1회 평균 구매액 증감량  방문등급\n","0          1  85042550   9141590  ...   54087.122093         -28.41     3\n","1          2  99880760  14123470  ...  127458.482759          66.05     3\n","2          3   3165167    302782  ...    3210.459770          47.38     2\n","3          4  16693810   1309643  ...   14240.098361           1.12     2\n","4          5  13237070   3145330  ...   22843.333333          33.63     1\n","...      ...       ...       ...  ...            ...            ...   ...\n","19332  19333   4737498    613130  ...    6444.621212          16.67     2\n","19333  19334  12353531    834049  ...    7233.744681          14.48     2\n","19334  19335  16700479    937734  ...    7883.236559         -20.14     2\n","19335  19336  30610840    449600  ...   45976.507937         -18.19     1\n","19336  19337   4976309     16520  ...    3789.858156          60.59     3\n","\n","[19001 rows x 28 columns]"]},"metadata":{},"execution_count":64}]},{"cell_type":"markdown","metadata":{"id":"Fmjfp_UQiqdx"},"source":[""]},{"cell_type":"code","metadata":{"id":"s7po__UraJBH"},"source":["import seaborn as sns\n","import matplotlib.pyplot as plt"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"kkLn-_P2x-B_"},"source":["성별_구매금액 = ppcd_df.groupby('성별')[['구매금액']].sum()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"6M37T8gHyFZa"},"source":["성별_구매금액.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":110},"id":"gc7YAQEry877","executionInfo":{"status":"ok","timestamp":1633415184786,"user_tz":-540,"elapsed":9,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"e3f9482e-cbfb-4844-8650-bff422799f9d"},"source":["성별_구매금액"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>성별</th>\n","      <th>구매금액</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>F</td>\n","      <td>543509069034</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>M</td>\n","      <td>133510087907</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  성별          구매금액\n","0  F  543509069034\n","1  M  133510087907"]},"metadata":{},"execution_count":68}]},{"cell_type":"code","metadata":{"id":"arzDruDgzGFe"},"source":["#!pip install --target=$my_path rc"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"y0KAJ25Hao4x","executionInfo":{"status":"ok","timestamp":1633415184788,"user_tz":-540,"elapsed":10,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"80bdd80f-ca0a-4f1b-f295-a320713752d3"},"source":["# 구매금액을 성별 별로 비교\n","import matplotlib.pyplot as plt\n","from matplotlib import rc\n","import seaborn as sns\n","%matplotlib inline\n","import warnings\n","\n","warnings.filterwarnings('ignore')\n","\n","plt.rc('font', family='NanumBarunGothic') \n","sns.barplot(x='성별',y='구매금액',data=성별_구매금액,palette='Accent')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7efe80053f10>"]},"metadata":{},"execution_count":70},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"ut2kD5dek1Hc"},"source":["연령대_구매금액 = ppcd_df.groupby('연령대')[['구매금액']].sum()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"iID99MeKtrfv"},"source":["연령대_구매금액.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"0XPTLqN_t3y1"},"source":["연령대_구매금액.sort_values(by='구매금액',inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":305},"id":"C5iuyXpvklRH","executionInfo":{"status":"ok","timestamp":1633415186396,"user_tz":-540,"elapsed":10,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"5ff24995-24cc-4ed5-c4e1-7a23570a54b9"},"source":["sns.barplot(x='연령대',y='구매금액',data=연령대_구매금액,palette='Accent')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7efe80805f10>"]},"metadata":{},"execution_count":74},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"IRGXeHmlAZt9"},"source":["def virtualize(x,y,data):\n","  plt.figure(figsize=(20,10))\n","  sns.barplot(x=x,y=y,data=data,palette='Accent')\n","\n","def groupping_sum(x,y,data): # groupby_sum 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].sum()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_mean(x,y,data): # groupby_mean 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].mean()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_count(x,y,data): # groupby_count 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].count()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_max(x,y,data): # groupby_max 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].max()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def auto_virtualize(x,y,data,aggument):\n","  if aggument == 'sum':\n","    result = groupping_sum(x,y,data)\n","    virtualize(x,y,result)\n","\n","  elif aggument =='mean':\n","    result = groupping_mean(x,y,data)\n","    print('mean')\n","    virtualize(x,y,result)\n","\n","  elif aggument =='count':\n","    result = groupping_count(x,y,data)\n","    print('count')\n","    virtualize(x,y,result)\n","\n","  elif aggument =='max':\n","    result = groupping_max(x,y,data)\n","    print('max')\n","    virtualize(x,y,result)\n","\n","  else :\n","    print('잘못된 aggument')\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"VCNNkfJ63oB3"},"source":["def virtualize(x,y,data):\n","  plt.figure(figsize=(20,10))\n","  sns.barplot(x=x,y=y,data=data,palette='Accent')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"oJgfMsU94xjW"},"source":["def groupping_sum(x,y,data): # groupby_sum 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].sum()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_mean(x,y,data): # groupby_mean 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].mean()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_count(x,y,data): # groupby_count 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].count()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n","def groupping_max(x,y,data): # groupby_max 적용 / groupping('연령대','구매금액',연령대와 구매금액을 포함한 데이터 프레임)\n","  result = data.groupby(x)[[y]].max()\n","  result.reset_index(inplace=True)\n","  result.sort_values(by=y,ascending=False,inplace=True)\n","  return result\n","\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"DfQhtyed7LPd"},"source":["def auto_virtualize(x,y,data,aggument):\n","  if aggument == 'sum':\n","    result = groupping_sum(x,y,data)\n","    print('sum')\n","    virtualize(x,y,result)\n","\n","  elif aggument =='mean':\n","    result = groupping_mean(x,y,data)\n","    print('mean')\n","    virtualize(x,y,result)\n","\n","  elif aggument =='count':\n","    result = groupping_count(x,y,data)\n","    print('count')\n","    virtualize(x,y,result)\n","\n","  elif aggument =='max':\n","    result = groupping_max(x,y,data)\n","    print('max')\n","    virtualize(x,y,result)\n","\n","  else :\n","    print('잘못된 aggument')\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ih1Cw4Uz97aX","executionInfo":{"status":"ok","timestamp":1633415186397,"user_tz":-540,"elapsed":7,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"d69e9c7f-62ab-4f3c-be45-535827300eb1"},"source":["sns.kdeplot\n","sns.displot\n","sns.barplot"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<function seaborn.categorical.barplot>"]},"metadata":{},"execution_count":79}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":631},"id":"a3vXR75v72-Q","executionInfo":{"status":"ok","timestamp":1633415188737,"user_tz":-540,"elapsed":1927,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"20e70c0b-59cf-481b-d90c-aefaed978068"},"source":["auto_virtualize('연령대','구매금액',ppcd_df,'sum') # 사용 예시 연령대 별 구매금액(합 = sum) 시각화"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["sum\n"]},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABI4AAAJWCAYAAAA+1szhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3dfbDlB13f8c+X3QQxQIhkURkMsSoRQUFZDUTAmChVxPjA2KDDKGIMCgxULQUf2tFaTJ1OKVCNmCIykWiQkdpMmKYGMECaINmgjjzFKp3wkAluNCgPQgC//eOcdW4u393s07ln7+7rNbOT83u4537v5OzZe97n9/ud6u4AAAAAwGb3WvcAAAAAABybhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYLTtwlFVnVVVN1TVlfew386q+tdV9Y9V9dUb1n9hVf1KVX22qr5g9RMDAAAAbE/bLhwlOTvJyw9iv4cm+WCSP9m0/hFJ3pjkQ0d5LgAAAIDjyrYLR919eZLb9y0vjyD67aq6rqpurKofWO731939B8PX39Tdb97CkQEAAAC2pZ3rHuAo+LdJ3tfdP1pV90lyc1X9z+6+a92DAQAAAGxnx0M42p3kQVX1ncvleyX5kiQfWN9IAAAAANvf8RCO3pXk3d39O0lSVV/e3aIRAAAAwBHadtc4Grw4yXdU1Vuq6i1JnrfugQAAAACOB9Xd654BAAAAgGPQ8XDEEQAAAAArsK2ucXT66af3mWeeue4xAAAAAI4bN9988x3dvWvatq3C0Zlnnpk9e/asewwAAACA40ZV3bq/bU5VAwAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwGjnugdYl199y6+uewSOIy/8lheuewQAAAA46hxxBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAIDRzlXdcVWdkuQ/J9mdpJJc290/t2H7mUnenuR9y1Uf7+6nrGoeAAAAAA7NysJRkgck+d3ufnZV3SvJe6vq5d19+4Z9runuZ6xwBgAAAAAO08pOVevuD3f39cvFU5LcleSjm3Y7v6qur6o3V9UF0/1U1cVVtaeq9uzdu3dV4wIAAACwySqPOEqSVNWOJJcneUF3f2rDpluTnNHdXVVnJLm2qm7p7ls2fn13X5bksiTZvXt3r3peAAAAABZWenHsqjopyWuSXNnd12zc1kvL2x9I8sYkj1jlPAAAAAAcvJWFo6o6OcmVSa7q7tcu1+2oqvsvbz+squ6zvH1akickuWlV8wAAAABwaFZ5qtpFSc5N8sCqetZy3bVJzk5yQZIHJ3lVVX0uyUlJfr67P7jCeQAAAAA4BCsLR919aZJLD7D9uiSPX9X3BwAAAODIrPQaRwAAAABsX8IRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgtLJwVFWnVNWlVfWOqrqpqn5l2OfFVXVDVd1YVeeuahYAAAAADt0qjzh6QJLf7e5vSnJ2kqdW1Zfs21hV5yV5dHefk+SpSV5RVTtXOA8AAAAAh2Bl4ai7P9zd1y8XT0lyV5KPbtjl/CSvW+57W5Jbk5y1+X6q6uKq2lNVe/bu3buqcQEAAADYZOXXOKqqHUkuT/KC7v7Uhk27ktyxYfmO5bq76e7Lunt3d+/etevzNgMAAACwIisNR1V1UpLXJLmyu6/ZtPkTSU7dsHxqkjtXOQ8AAAAAB2+VF8c+OcmVSa7q7tcu1+2oqvsvd3lTkguW60/P4jS1W1Y1DwAAAACHZpUXo74oyblJHlhVz1quuzaLC2VfkOQNSZ5UVTdkEbCev+lUNgAAAADWaGXhqLsvTXLpAbZ3kuet6vsDAAAAcGRWfnFsAAAAALYn4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACA0c51DwCsznVX/9m6R+A4cu5THr3uEQAAgC3miCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGC0c90DAMCRuPMtl657BI4jp33Ls9c9AgDAMcURRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAIDRysJRVZ1VVTdU1ZXDtjOr6vaqum755+pVzQEAAADA4Vnlp6qdneTlSb53P9uv6e5nrPD7AwAAAHAEVnbEUXdfnuT2A+xyflVdX1VvrqoLVjUHAAAAAIdnlUccHcitSc7o7q6qM5JcW1W3dPctm3esqouTXJwkZ5xxxhaPCQAAAHDiWsvFsXtpefsDSd6Y5BH72fey7t7d3bt37dq1lWMCAAAAnNC2LBxV1Y6quv/y9sOq6j7L26cleUKSm7ZqFgAAAADu2Vaeqva0JBcmuSDJg5O8qqo+l+SkJD/f3R/cwlkAAAAAuAcrDUfdfV2S65a3r0hyxYb1j1/l9wYAAADgyKzlGkcAAAAAHPuEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADAaOfmFVX1gCSvS9L7Vi1vPyfJr+/br7uftBUDAgAAALAenxeOkvx9kqcvb/9hku9Z3v7bJF+c5IItmAsAAACANfu8cNTdXVWvzOIoo4cleeVy008l+XR337qF8wEAAACwJtMRR0ny3GHdbascBAAAAIBjy3hx7OVRRWcnuTrJVUm+vrs/s5WDAQAAALBe+zviKElemOQbk+xI8tYsrndUWzEUAAAAAOt3oHDUSU5Z7vNPy3W/vPKJAAAAADgm3NMRR1dnEY1+Jkm6+6qtGAoAAACA9RuvcZQk3f2m7n5cd39zFqesAQAAAHAC2W84qqoHV9Upy8ULl+u+Zt+fLZkOAAAAgLU50Klq703y7qo6LcnHluvelsWFsp+Y5IErng0AAACANdrvEUdJ/rK7z+nuh29a931J3r/iuQAAAABYswOFoz7IdQAAAAAchw4UjgAAAAA4gR0oHNWw7t5V9S+SnLyieQAAAAA4RhwoHN0yrNub5NeT3LaacQAAAAA4Vuz3U9W6++kbFmu57jtWPhEAAAAAx4SDvcbRU1Y6BQAAAADHnPGIo6r6v1l8glrt+2/V3S551N39sNWPBwAAAMC6jOGou79q3+2quqG7z9m6kQAAAAA4FuzviKP3ZnGkUZI8uKres3mf7v6aVQ4GAAAAwHrt74ijh2/1IAAAAAAcW/b7qWpV9fEk79+8vru/bqUTAQAAAHBM2G84SvIX3f24jSuq6sYVzwMAAADAMeJA4WhXVf3wpnUnrXIYAAAAAI4dBwpH/z3Jl25YfnGSZ612HAAAAACOFQcKRzuS/H2S25N8MMlN3f1bWzIVAAAAAGt3rwNsuyjJZ5J8dZIfS9JbMhEAAAAAx4QDHXH0t9192b6Fqrqxqk5KUknS3XetejgAAAAA1udA4WjzEUaPSvLnWYSjTvI1qxoKAAAAgPU7UDja7M+7+3ErmwQAAACAY8qBrnFUm5Zd4wgAAADgBHKgcPTSTcubQxIAAAAAx7H9hqPuvmLTqneueBYAAAAAjiEHOuLobrr7OascBAAAAIBjy0GHIwAAAABOLMIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMFppOKqqs6rqhqq6cj/bX7zcfmNVnbvKWQAAAAA4NKs+4ujsJC+fNlTVeUke3d3nJHlqkldU1c4VzwMAAADAQVppOOruy5Pcvp/N5yd53XK/25LcmuSszTtV1cVVtaeq9uzdu3dlswIAAABwd+u8xtGuJHdsWL5jue5uuvuy7t7d3bt37fq8zQAAAACsyDrD0SeSnLph+dQkd65pFgAAAAA22dJwVFU7qur+y8U3Jblguf70LE5Tu2Ur5wEAAABg/7b6iKOnJXnN8vYbknykqm5IcnWS53f3p7Z4HgAAAAD2Y+WfYtbd1yW5bnn7iiRXLG93kuet+vsDAAAAcHjWeY0jAAAAAI5hwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAo53rHgAAgAP72Md+b90jcBy53/1+cN0jALCNOOIIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwGil4aiqnltVN1bV26vqwk3bzqyq26vquuWfq1c5CwAAAACHZueq7riqviLJM5M8Nsm9k7yjqv6ou+/csNs13f2MVc0AAAAAwOFb5RFH5yW5qrvv6u6PJXlrknM27XN+VV1fVW+uqgumO6mqi6tqT1Xt2bt37wrHBQAAAGCjlR1xlGRXkjs2LN+xXLfPrUnO6O6uqjOSXFtVt3T3LRvvpLsvS3JZkuzevbtXOC8AAAAAG6zyiKNPJDl1w/KpSf75NLVeWt7+QJI3JnnECucBAAAA4BCsMhy9KcmTq2pHVd0nyblJ9lTV/ZOkqh62XJ+qOi3JE5LctMJ5AAAAADgEKztVrbvftfyktBuSdJKXZBGPLkxyQZIHJ3lVVX0uyUlJfr67P7iqeQAAAAA4NKu8xlG6+5Ikl2xafcVy23VJHr/K7w8AAADA4VvlqWoAAAAAbGPCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAACjneseAAAA4Duef/m6R+A4cs3LfnjdI8BxwxFHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEbCEQAAAAAj4QgAAACAkXAEAAAAwEg4AgAAAGAkHAEAAAAwEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAI+EIAAAAgJFwBAAAAMBIOAIAAABgJBwBAAAAMBKOAAAAABgJRwAAAACMhCMAAAAARsIRAAAAACPhCAAAAICRcAQAAADASDgCAAAAYCQcAQAAADASjgAAAAAYCUcAAAAAjIQjAAAAAEYrDUdV9dyqurGq3l5VFw7bX1xVNyz3OXeVswAAAABwaHau6o6r6iuSPDPJY5PcO8k7quqPuvvO5fbzkjy6u8+pqgcneXNVPbK7P7uqmQAAAAA4eKs84ui8JFd1913d/bEkb01yzobt5yd5XZJ0921Jbk1y1grnAQAAAOAQrOyIoyS7ktyxYfmO5bqN2288wPYkSVVdnOTi5eLHq+qWozwnB3Z67v7/kcGL8qJ1j8CR8TjnROBxflCes+4BODIe5wflh9Y9AEfG4/wg1Mt/ZN0jcGQ8zrfeQ/e3YZXh6BNJTt2wfGqSOw9he5Kkuy9LctkqBuSeVdWe7t697jlglTzOORF4nHMi8DjnROBxzonA4/zYsspT1d6U5MlVtaOq7pPk3CR7qur+G7ZfkCRVdXoWp6k5mggAAADgGLGyI466+11VdXWSG5J0kpdkEY8uzCIYvSHJk6rqhiwC1vO7+1OrmgcAAACAQ7PKU9XS3ZckuWTT6iuW2zrJ81b5/TkqnCbIicDjnBOBxzknAo9zTgQe55wIPM6PIbXoNwAAAABwd6u8xhEAAAAA25hwxCGrqnOr6hVVdWZVvXHd88AqLB/f1yxv/9W654FV8HwOcHzwfM7xoKreV1WPr6pX38N+v1BVz7iHffz+fhQJRye4Wrh231/OqnpxVd1QVTdW1bnLda+uqluqak9VvWCd88KhqqqPVtV1G/7ct6qeu3yMv72qLlzu94tV9f+Wj/P/uu654WBV1QOq6vc3PKZ/erne8zknBC80OF5U1SlVdWlVvaOqbqqqX1mu93zOtlFVZy0fr1cul3dW1WVVdX1V/WlVfduGfR+zb7/93NcXVdXrq+rmqvrDqvqiYZ8HLf8e7KmqP17NT8VKL47NtvDsJO9KclpVnZfk0d19TlU9OMmbq+qRy/2e1d3XJYt3NNYyKRyeP+vuc/ctVNVXJHlmkscmuXeSd1TVHy03/1J3v3q535lbOiUcvnsn+cXufk9V7Uzy3qr6UDyfs41U1UOTvCrJfZL8U5JvS/Lvknxrkkrysxset49J8oLuftp+7uuLkrwyyUOTfDDJM7v77/az7+3d/SVH96eBw/aAJL/b3c+uqntl8Xz+rng+Z3s5O8nLk3zvcvmZST7d3Y+vql1J3lpVj+ruu5KcnOQfDnBf/z7JNd19WVX9RBb/LvzUvo1V9ZQkv7hh//tV1Z4kP3TUfhqSOOLohLZ8YfzkLP5iJ8n5SV6XJN19W5Jbk5y1ny///iRXrXZCOCoeUVVvXf75sSTnJbmqu+/q7o8leWuSc/bztY9b/uMDx6zu/kh3v2e5uCvJZ7P4pc3zOdtCVe1I8tokz+3uc5J8SxbPy49eLj81ySuWYTQ5+Bcaj0lyTRYvNKbv+7VJPl5VX7Zh9Y7lu9b/6oh+KDgM3f3h7r5+uXhKkruSPCaez9lGuvvyJLdvWPWoJG9abtub5LYkj1hue2SSU6rqe/bzO/cTk/ze8vaVy+WN3+vqJN+U5DeSvCOLN4F3d/dfHqUfhyXh6ARVVZVFMHpekn0frbcryR0bdrtjuW7y+iQXrGxAOHq+uLufmOT7kvx4kgfl4B/nN3b37hXPB0dFVf2nJO9O8pIk94vnc7aP70xyS5IXV9X/SfKTOfCbWUf0QiNJqur0JL+U5JuT/Jeq+oblps8tX3T8/lH5yeAwLGPq5UleEM/nbH/vTfIvk6SqHpbkG5LsWG57cpKvTHLzfn7n3vwR8NNHwv+bJF+b5GVJfryqnrxc/5DlKfzfd4TzE+HoRPYTSf53d//1hnWfSHLqhuVTk9y58Yuq6r5J7rv68eDo6O5/Wv73b5P8QRan6N7T4/zeWRwuDttGd78oyZcl+eEkXxXP52wfX53k4Ul+JMmTkvxoksdl/y+Wj+iFRlU9JIt/D362uz+S5KIkP1ZVnvdZu6o6KclrklzZ3dfE7+dsf69M0lX1tiwOWnhvkvdX1TclOWm57jXL3783e2uSH1zeflqStw37fHuSl3T3LUlesVxOkg9192O7+38cvR/lxCUcnbi+MckTlxcje0UWh4XfmeW7FMt34s7K4h3AzyT5jar60ywOf/2y8R7hGFNVD933QqCq7pPku5O8OcmTq2rHct25Sf4ki9N7fmH5OH9jkq9bz9RwaJYXodz3gvqTSf4+yUvj+Zzt43NZnEL8se7+RBbPwV+e4cXy0Xih0d0fSnLe8kVGuvsfuvs53f3RLH4ngrWoqpOzOEruqu5+7XL1m+L5nO3ts9397O5+QpL/lcURpF+Q5HeS/Ex3/0mSP858XaJfTvJdVfXOJN+1XN7s5iQ/VFX3S/IDy2WOMhfHPkF19zP33V5eTO8ZWfxFfFlV3ZBFVHx+d38qi9N7smn/R23VrHAE7p/k1ctDvk9K8srufltVXZ3khizehX5Jd9+e5D8u/yT552uAubAe28Fnk/xmVZ2a5AuTXJ/Fi4jzPZ+zTVyf5JKquiSLC2F/c5LfyuLF8hUbXizvzeLFxQXdfcvy03P290Ljt5cXUv1wFkcy3U13f255geGXZHGE6b2yeCE+vSiBrXJRFm9oPbCqnrVc9zNJPuL5nG3s66rq17J4fv/rJBd19yeq6tu7+wNJ0t2/lCRV9cKNX7j8YIPvuYf7/w9ZXNvu9Vlc1+6Kozw/EY5Isvw0huuWi89b3yRwdHX3X2TxiTyb11+S5JKtnwiOvuUpx98/bPJ8zrbQ3TdV1bVJ9iT5dBZHXLwsn/9m1m1H8YVGsohTz1u+273vFLYbq+oru/vTR+nHg4PW3ZcmuXTY5AgKtpWNry+7+50ZPohm33P5Ufhen0zyoqNxX+xfdU/XlwIAgGNfVRzoSXUAAAJ2SURBVL0viyM1LuruZxxgv1/I4poXr14uX5XFaROvyeJooycm+W9JHr7v+ngAgHAEAMAJqKpOS/LTWVz3cWeS9yR5aXe/f62DAcAxRjgCAAAAYORT1QAAAAAYCUcAAAAAjIQjAAAAAEbCEQDAYaqqh1TVdQfYfmZVvXE/286tqlccaB8AgHXbue4BAACOdVW1M8mvJTk7yWlJPprk40lOTvLJqrogyc8td9+V5LeTvGy57777eHWSxyX5WJLXJrlpi8YHADhswhEAwD17epId3f31VXVykhuTXJzk75JcmeSdSf7jct/zl/99QpJv2HQ/z+ru65LFEUcrnhkA4IgJRwAA92w6vf+7k3xmefvbkpyX5PIkb0jyV0l+Msm3ZxGX9uf7k5yT5G+O2qQAAEeRaxwBANyz30lSVfVnSa5P8ptJbk5y24Z9HpTkkUl2J3l+kn/KIgwdyOuTXHDUpwUAOEoccQQAcA+6+zNJLtq8vqoekuQnsjjK6H1JPpfkk0n2dvffVNWXJnnP8HX3TXLflQ4NAHAUCEcAAAepqm7s7sdtWPXxJFd1994ke6vqwixOUdtRVZXkliQvXO77mSS/UVWfSnJnktdt4egAAIdFOAIAOHhfunGhuz+a5CVJUlVfleRFSb51uT5VdVGSlyZ5enf/+MavXV4c+1FbMDMAwGETjgAADkFV7dm06pPd/cQk/5jk5CRfXlXvTnK/JGcm+ejWTggAcPRUd697BgCA40JV7U7yrCyC0cezuJD2r3f3p9Y5FwDA4RKOAAAAABjda90DAAAAAHBsEo4AAAAAGAlHAAAAAIyEIwAAAABGwhEAAAAAo/8PWH35CQ0PSeIAAAAASUVORK5CYII=\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"-DsI_4Rv8v5O"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":416},"id":"Y8iqWBb05Mf3","executionInfo":{"status":"ok","timestamp":1633415192565,"user_tz":-540,"elapsed":3830,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"dac60f17-33ee-493b-b4ca-e316de76e223"},"source":["groupping_sum(['연령대','성별'],'구매금액',ppcd_df)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>연령대</th>\n","      <th>성별</th>\n","      <th>구매금액</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>6</th>\n","      <td>40대</td>\n","      <td>F</td>\n","      <td>206378060303</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>50대</td>\n","      <td>F</td>\n","      <td>153499646895</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>30대</td>\n","      <td>F</td>\n","      <td>114709879733</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>40대</td>\n","      <td>M</td>\n","      <td>49072546909</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>60세이상</td>\n","      <td>F</td>\n","      <td>48842669125</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>30대</td>\n","      <td>M</td>\n","      <td>38998147545</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>50대</td>\n","      <td>M</td>\n","      <td>31037814202</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>20대</td>\n","      <td>F</td>\n","      <td>19979894711</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>60세이상</td>\n","      <td>M</td>\n","      <td>11784827522</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>20대</td>\n","      <td>M</td>\n","      <td>2575076349</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>19세이하</td>\n","      <td>F</td>\n","      <td>98918267</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>19세이하</td>\n","      <td>M</td>\n","      <td>41675380</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      연령대 성별          구매금액\n","6     40대  F  206378060303\n","8     50대  F  153499646895\n","4     30대  F  114709879733\n","7     40대  M   49072546909\n","10  60세이상  F   48842669125\n","5     30대  M   38998147545\n","9     50대  M   31037814202\n","2     20대  F   19979894711\n","11  60세이상  M   11784827522\n","3     20대  M    2575076349\n","0   19세이하  F      98918267\n","1   19세이하  M      41675380"]},"metadata":{},"execution_count":81}]},{"cell_type":"code","metadata":{"id":"D1iT5w8zuPY1"},"source":["연령대_성별_구매금액 = ppcd_df.groupby(['연령대','성별'])[['구매금액']].sum()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"DmcUwHRHuXif"},"source":["연령대_성별_구매금액.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"3cEdcDbiug_s"},"source":["연령대_성별_구매금액.sort_values(by='구매금액',inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"8UCOqYJSuvFQ"},"source":["연령대_성별_구매금액['연령대_성별'] = 연령대_성별_구매금액['연령대'] + '_' + 연령대_성별_구매금액['성별']"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"_WJ9oxHRwhEB"},"source":["연령대_성별_구매금액.drop(['연령대','성별'],axis=1, inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":614},"id":"CPA4HxoavQXg","executionInfo":{"status":"ok","timestamp":1633415196549,"user_tz":-540,"elapsed":520,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"6bb4d683-a364-4c4f-8c74-72ba2590dc4b"},"source":["virtualize('연령대_성별','구매금액',연령대_성별_구매금액)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"1HoCYKhqLg_3"},"source":["aggu = {'구매금액':'sum','소분류명':lambda x : x.mode(),'뉴중분류명':lambda x : x.mode(),'대분류명':lambda x : x.mode()}\n","고객번호_구매금액_소중대분류명 = ppcd_df.groupby('고객번호').agg(aggu)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"BjtguzgjMhtb"},"source":["고객번호_구매금액_소중대분류명.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"gy6H1zNM05N9"},"source":["고객번호_구매금액_소중대분류명_copy = 고객번호_구매금액_소중대분류명.copy()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"J6ZUoil01O_f"},"source":["고객번호_구매금액_소중대분류명_copy['뉴중분류명'] = 고객번호_구매금액_소중대분류명_copy['뉴중분류명'].astype(str)\n","고객번호_구매금액_소중대분류명_copy['대분류명'] = 고객번호_구매금액_소중대분류명_copy['대분류명'].astype(str)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"JzDMOoIt12I1"},"source":["뉴중분류별_구매금액 = 고객번호_구매금액_소중대분류명_copy.groupby('뉴중분류명')[['구매금액']].sum()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"kA07TZnE2F_8"},"source":["뉴중분류별_구매금액.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"9DRLjx3V2kqx"},"source":["뉴중분류별_구매금액.sort_values(by='구매금액',ascending=False,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"-jrPhzbT2vQz"},"source":["뉴중분류별_구매금액 = 뉴중분류별_구매금액.head(30)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":614},"id":"hNlTmlmQ3FZY","executionInfo":{"status":"ok","timestamp":1633415221851,"user_tz":-540,"elapsed":587,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"55000dac-7600-4289-fa80-3a9829974922"},"source":["virtualize('뉴중분류명','구매금액',뉴중분류별_구매금액)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"bORbIFTNMm35"},"source":["고객번호_대분류명 = 고객번호_구매금액_소중대분류명[['고객번호','대분류명']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"rDlUNg_zu5up"},"source":["고객번호_중분류명 = 고객번호_구매금액_소중대분류명[['고객번호','뉴중분류명']]"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"UClUcj1wMt86"},"source":["고객번호_대분류명['대분류명'] = 고객번호_대분류명['대분류명'].astype(str)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"NjRGVBT3vGza"},"source":["고객번호_중분류명['뉴중분류명'] = 고객번호_중분류명['뉴중분류명'].astype(str)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"4LpJOf9DNoNW"},"source":["대분류별_구매량 = 고객번호_대분류명.groupby('대분류명').count()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"CdUIn_bPvN2g"},"source":["중분류별_구매량 = 고객번호_중분류명.groupby('뉴중분류명').count()"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"AZO3zKNrN8v4"},"source":["대분류별_구매량.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"7Czpy-s9vXZb"},"source":["중분류별_구매량.reset_index(inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"VfMY_aEFOYZ7"},"source":["대분류별_구매량.sort_values(by='고객번호',ascending=False,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"ktGkhw_VvZbz"},"source":["중분류별_구매량.sort_values(by='고객번호',ascending=False,inplace=True)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"vRREyr_rvqB7"},"source":["중분류별_구매량 = 중분류별_구매량.head(25)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":605},"id":"mE94QXa4vjOv","executionInfo":{"status":"ok","timestamp":1633415222508,"user_tz":-540,"elapsed":660,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"fac1879b-8aaf-425e-ded0-fc060eb3258d"},"source":["virtualize('뉴중분류명','고객번호',중분류별_구매량)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":605},"id":"_AlJmymcNKXP","executionInfo":{"status":"ok","timestamp":1633415222508,"user_tz":-540,"elapsed":3,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"2be73150-19cd-4267-a74b-b95c372561c3"},"source":["virtualize('대분류명','고객번호',대분류별_구매량)"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"Xwm7sYZdDRJE"},"source":["import pandas as pd\n","ppt_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset.csv',encoding='cp949',index_col=0)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"oveMxQqaDTCa"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":801},"id":"xOuitMlgD4fD","executionInfo":{"status":"ok","timestamp":1633415222910,"user_tz":-540,"elapsed":7,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"763ee691-d902-4880-ac26-4eedee859776"},"source":["ppt_df.sort_values(by='구매금액',ascending=False)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>구매금액</th>\n","      <th>14년 1분기</th>\n","      <th>14년 2분기</th>\n","      <th>14년 3분기</th>\n","      <th>14년 4분기</th>\n","      <th>15년 1분기</th>\n","      <th>15년 2분기</th>\n","      <th>15년 3분기</th>\n","      <th>15년4분기</th>\n","      <th>14년도 구매액</th>\n","      <th>15년도 구매액</th>\n","      <th>연도별 구매액 증감률</th>\n","      <th>증감 여부</th>\n","      <th>14년도 상_하반기 매출 증감률</th>\n","      <th>15년도 상_하반기 매출 증감률</th>\n","      <th>14년도 반기 기준 증감 여부</th>\n","      <th>15년도 반기 기준 증감 여부</th>\n","      <th>오전/오후</th>\n","      <th>총구매금액</th>\n","      <th>총구매등급</th>\n","      <th>총구매횟수</th>\n","      <th>총횟수등급</th>\n","      <th>종합등급</th>\n","      <th>평일/주말</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>15998</th>\n","      <td>15999</td>\n","      <td>3571831616</td>\n","      <td>451484570</td>\n","      <td>287229450</td>\n","      <td>286457090</td>\n","      <td>253439440</td>\n","      <td>401143260</td>\n","      <td>644149496</td>\n","      <td>367378090</td>\n","      <td>880550220</td>\n","      <td>1278610550</td>\n","      <td>2293221066</td>\n","      <td>1014610516</td>\n","      <td>증가</td>\n","      <td>-198817490</td>\n","      <td>202635554</td>\n","      <td>감소</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>3571831616</td>\n","      <td>4</td>\n","      <td>824</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>14598</th>\n","      <td>14599</td>\n","      <td>2640330093</td>\n","      <td>220370</td>\n","      <td>12231270</td>\n","      <td>18164450</td>\n","      <td>1319229700</td>\n","      <td>337708020</td>\n","      <td>287182610</td>\n","      <td>270518303</td>\n","      <td>395075370</td>\n","      <td>1349845790</td>\n","      <td>1290484303</td>\n","      <td>-59361487</td>\n","      <td>감소</td>\n","      <td>1324942510</td>\n","      <td>40703043</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>2640330093</td>\n","      <td>4</td>\n","      <td>568</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>7956</th>\n","      <td>7957</td>\n","      <td>2134908726</td>\n","      <td>552538076</td>\n","      <td>836489630</td>\n","      <td>611587500</td>\n","      <td>102703260</td>\n","      <td>29717300</td>\n","      <td>9000</td>\n","      <td>1667760</td>\n","      <td>196200</td>\n","      <td>2103318466</td>\n","      <td>31590260</td>\n","      <td>-2071728206</td>\n","      <td>감소</td>\n","      <td>-674736946</td>\n","      <td>-27862340</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>2134908726</td>\n","      <td>4</td>\n","      <td>841</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>16405</th>\n","      <td>16406</td>\n","      <td>1881644780</td>\n","      <td>78361030</td>\n","      <td>12067650</td>\n","      <td>35337320</td>\n","      <td>31849290</td>\n","      <td>185491500</td>\n","      <td>440453560</td>\n","      <td>262459940</td>\n","      <td>835624490</td>\n","      <td>157615290</td>\n","      <td>1724029490</td>\n","      <td>1566414200</td>\n","      <td>증가</td>\n","      <td>-23242070</td>\n","      <td>472139370</td>\n","      <td>감소</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>1881644780</td>\n","      <td>4</td>\n","      <td>702</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>6206</th>\n","      <td>6207</td>\n","      <td>1721008092</td>\n","      <td>624826540</td>\n","      <td>392739874</td>\n","      <td>211128480</td>\n","      <td>27470080</td>\n","      <td>102714900</td>\n","      <td>84618762</td>\n","      <td>102311600</td>\n","      <td>175197856</td>\n","      <td>1256164974</td>\n","      <td>464843118</td>\n","      <td>-791321856</td>\n","      <td>감소</td>\n","      <td>-778967854</td>\n","      <td>90175794</td>\n","      <td>감소</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>1721008092</td>\n","      <td>4</td>\n","      <td>1322</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19208</th>\n","      <td>19209</td>\n","      <td>40000</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>40000</td>\n","      <td>0</td>\n","      <td>40000</td>\n","      <td>40000</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>40000</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>40000</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>13485</th>\n","      <td>13486</td>\n","      <td>37700</td>\n","      <td>11500</td>\n","      <td>8200</td>\n","      <td>0</td>\n","      <td>18000</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>37700</td>\n","      <td>0</td>\n","      <td>-37700</td>\n","      <td>감소</td>\n","      <td>-1700</td>\n","      <td>0</td>\n","      <td>감소</td>\n","      <td>동결</td>\n","      <td>오후</td>\n","      <td>37700</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>주말</td>\n","    </tr>\n","    <tr>\n","      <th>19239</th>\n","      <td>19240</td>\n","      <td>32700</td>\n","      <td>32700</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>32700</td>\n","      <td>0</td>\n","      <td>-32700</td>\n","      <td>감소</td>\n","      <td>-32700</td>\n","      <td>0</td>\n","      <td>감소</td>\n","      <td>동결</td>\n","      <td>오후</td>\n","      <td>32700</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>주말</td>\n","    </tr>\n","    <tr>\n","      <th>18760</th>\n","      <td>18761</td>\n","      <td>25800</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>25800</td>\n","      <td>0</td>\n","      <td>25800</td>\n","      <td>25800</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>25800</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오전</td>\n","      <td>25800</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>평일</td>\n","    </tr>\n","    <tr>\n","      <th>17381</th>\n","      <td>17382</td>\n","      <td>15490</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8990</td>\n","      <td>6500</td>\n","      <td>0</td>\n","      <td>15490</td>\n","      <td>15490</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>15490</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>15490</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>['주말' '평일']</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19383 rows × 25 columns</p>\n","</div>"],"text/plain":["        고객번호        구매금액    14년 1분기    14년 2분기  ...  총구매횟수  총횟수등급  종합등급        평일/주말\n","15998  15999  3571831616  451484570  287229450  ...    824      1     2           평일\n","14598  14599  2640330093     220370   12231270  ...    568      1     2           평일\n","7956    7957  2134908726  552538076  836489630  ...    841      1     2           평일\n","16405  16406  1881644780   78361030   12067650  ...    702      1     2           평일\n","6206    6207  1721008092  624826540  392739874  ...   1322      2     3           평일\n","...      ...         ...        ...        ...  ...    ...    ...   ...          ...\n","19208  19209       40000          0          0  ...      1      1     1           평일\n","13485  13486       37700      11500       8200  ...      5      1     1           주말\n","19239  19240       32700      32700          0  ...      1      1     1           주말\n","18760  18761       25800          0          0  ...      1      1     1           평일\n","17381  17382       15490          0          0  ...      2      1     1  ['주말' '평일']\n","\n","[19383 rows x 25 columns]"]},"metadata":{},"execution_count":111}]},{"cell_type":"code","metadata":{"id":"ZNzFdYVSbTJm"},"source":["dataset_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset2.csv',encoding='cp949',index_col=0)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"EjddwJrOcm3n"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":631},"id":"NRPP6jEsLas-","executionInfo":{"status":"ok","timestamp":1633415223177,"user_tz":-540,"elapsed":273,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"4507f871-1778-40e9-f83e-f3864ef2817c"},"source":["auto_virtualize('방문등급','총구매금액',dataset_df,'mean')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["mean\n"]},{"output_type":"display_data","data":{"image/png":"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v7zqr6SJLLu/vhbT//Z5O8Nn+ykfRjktza3T+z5T2/m+RT25b+2iRP6O77F/hnAQCcNnsKAQDjVNW3JfkrSZ7W3Q/X5sZAP5PkBUl+OslXJfnw6u23J/n8CT7mZ5O8vLv/0+ozL0jym1V19/HfULbyV7cGpao66cbUAAC7SRQCACY6lmQjyeVV9aEkT0jylUnu2vKen66ql69ev3u1ofS/6+5Xrc79QZIrV5HngSRfneTS1Wdvdce2zaif8ij+OwAAzprHxwCAkarqW5Ncm+RPJbk3yS+fycbPVfUlSX44m3ccHUzykSQ3dvddO/0cAMC5QhQCAAAAGOi8dQ8AAAAAwO4ThQAAAAAGEoUAAAAABhKFAAAAAAYShQAAAAAG+n+EfVMFVOWu2wAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":622},"id":"DC6BPiBybW6D","executionInfo":{"status":"ok","timestamp":1633415223564,"user_tz":-540,"elapsed":389,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"d1eac97c-585e-4dd0-b687-5b13b63ea0a4"},"source":["auto_virtualize('총구매등급','방문횟수',dataset_df,'mean')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["mean\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"CM3ets80jgXd"},"source":["channel_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/ch.csv',encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WEs8R8LFnu7X","executionInfo":{"status":"ok","timestamp":1633415223793,"user_tz":-540,"elapsed":3,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"f43a0a33-4434-41d4-e907-e656dcebe704"},"source":["channel_df.info()"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 8824 entries, 0 to 8823\n","Data columns (total 3 columns):\n"," #   Column  Non-Null Count  Dtype \n","---  ------  --------------  ----- \n"," 0   고객번호    8824 non-null   int64 \n"," 1   제휴사     8824 non-null   object\n"," 2   이용횟수    8824 non-null   int64 \n","dtypes: int64(2), object(1)\n","memory usage: 206.9+ KB\n"]}]},{"cell_type":"code","metadata":{"id":"mbf5BTO1jzGb"},"source":["afd = {'제휴사':lambda x : x.mode(),'이용횟수':'sum'}\n","고객번호_제휴사_이용횟수 = channel_df.groupby('고객번호')[['제휴사','이용횟수']].agg(afd)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"KEeTB6xGnEBJ"},"source":["고객번호_제휴사_이용횟수['제휴사'] = 고객번호_제휴사_이용횟수['제휴사'].astype(str)"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":445},"id":"rl5oJgleoOCG","executionInfo":{"status":"ok","timestamp":1633415224912,"user_tz":-540,"elapsed":4,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"19361288-3f50-4c95-f9b3-546a89d23996"},"source":["고객번호_제휴사_이용횟수.sort_values(by='이용횟수')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>제휴사</th>\n","      <th>이용횟수</th>\n","    </tr>\n","    <tr>\n","      <th>고객번호</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>9563</th>\n","      <td>B_MOBILE/APP</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>12391</th>\n","      <td>D_MOBILE/APP</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>12386</th>\n","      <td>A_MOBILE/APP</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>12376</th>\n","      <td>A_MOBILE/APP</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3816</th>\n","      <td>B_MOBILE/APP</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>8677</th>\n","      <td>['B_MOBILE/APP' 'B_ONLINEMALL']</td>\n","      <td>186</td>\n","    </tr>\n","    <tr>\n","      <th>7568</th>\n","      <td>['B_MOBILE/APP' 'B_ONLINEMALL']</td>\n","      <td>235</td>\n","    </tr>\n","    <tr>\n","      <th>6330</th>\n","      <td>['B_MOBILE/APP' 'B_ONLINEMALL']</td>\n","      <td>241</td>\n","    </tr>\n","    <tr>\n","      <th>19312</th>\n","      <td>['B_MOBILE/APP' 'B_ONLINEMALL']</td>\n","      <td>279</td>\n","    </tr>\n","    <tr>\n","      <th>9233</th>\n","      <td>['A_MOBILE/APP' 'B_MOBILE/APP' 'B_ONLINEMALL']</td>\n","      <td>327</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>6766 rows × 2 columns</p>\n","</div>"],"text/plain":["                                                  제휴사  이용횟수\n","고객번호                                                       \n","9563                                     B_MOBILE/APP     1\n","12391                                    D_MOBILE/APP     1\n","12386                                    A_MOBILE/APP     1\n","12376                                    A_MOBILE/APP     1\n","3816                                     B_MOBILE/APP     1\n","...                                               ...   ...\n","8677                  ['B_MOBILE/APP' 'B_ONLINEMALL']   186\n","7568                  ['B_MOBILE/APP' 'B_ONLINEMALL']   235\n","6330                  ['B_MOBILE/APP' 'B_ONLINEMALL']   241\n","19312                 ['B_MOBILE/APP' 'B_ONLINEMALL']   279\n","9233   ['A_MOBILE/APP' 'B_MOBILE/APP' 'B_ONLINEMALL']   327\n","\n","[6766 rows x 2 columns]"]},"metadata":{},"execution_count":119}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":622},"id":"efA4QIynna2p","executionInfo":{"status":"ok","timestamp":1633415225471,"user_tz":-540,"elapsed":562,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"fe18340a-a46e-4488-9e50-5eb87dbe1036"},"source":["auto_virtualize('제휴사','이용횟수',channel_df,'sum')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["sum\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":622},"id":"LnjQKSYNj3Mo","executionInfo":{"status":"ok","timestamp":1633415225472,"user_tz":-540,"elapsed":9,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"ff2844c7-03b1-403f-b531-48a8ba2d52dd"},"source":["auto_virtualize('제휴사','이용횟수',channel_df,'mean')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["mean\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1440x720 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"CC7OgME8EBAf"},"source":["#ppt_df.to_pickle('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset.pkl')\n","#ppt_df.to_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset.csv', encoding='cp949')"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"df8kSooQSPeF","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1633415226376,"user_tz":-540,"elapsed":908,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"dda709b3-9963-4dd5-fac4-9ed95569c562"},"source":["pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/dataset33.csv',encoding='cp949',index_col=0)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>구매금액</th>\n","      <th>14년 1분기</th>\n","      <th>14년 2분기</th>\n","      <th>14년 3분기</th>\n","      <th>14년 4분기</th>\n","      <th>15년 1분기</th>\n","      <th>15년 2분기</th>\n","      <th>15년 3분기</th>\n","      <th>15년4분기</th>\n","      <th>14년도 구매액</th>\n","      <th>15년도 구매액</th>\n","      <th>연도별 구매액 증감률</th>\n","      <th>증감 여부</th>\n","      <th>14년도 상_하반기 매출 증감률</th>\n","      <th>15년도 상_하반기 매출 증감률</th>\n","      <th>14년도 반기 기준 증감 여부</th>\n","      <th>15년도 반기 기준 증감 여부</th>\n","      <th>오전/오후</th>\n","      <th>총구매금액</th>\n","      <th>총구매등급</th>\n","      <th>평일/주말</th>\n","      <th>방문횟수</th>\n","      <th>방문등급</th>\n","      <th>종합등급</th>\n","      <th>구분</th>\n","      <th>성별</th>\n","      <th>연령대</th>\n","      <th>매출 증감비율</th>\n","      <th>유효매출증감비율</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>85042550</td>\n","      <td>9141590</td>\n","      <td>10783765</td>\n","      <td>10781550</td>\n","      <td>23334762</td>\n","      <td>9302985</td>\n","      <td>8595380</td>\n","      <td>7806580</td>\n","      <td>5295938</td>\n","      <td>54041667</td>\n","      <td>31000883</td>\n","      <td>-23040784</td>\n","      <td>감소</td>\n","      <td>14190957</td>\n","      <td>-4795847</td>\n","      <td>증가</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>85042550</td>\n","      <td>4</td>\n","      <td>평일</td>\n","      <td>681</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>기존</td>\n","      <td>M</td>\n","      <td>60세이상</td>\n","      <td>-0.426352</td>\n","      <td>-0.426352</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>99880760</td>\n","      <td>14123470</td>\n","      <td>10199760</td>\n","      <td>14841180</td>\n","      <td>7080920</td>\n","      <td>18481480</td>\n","      <td>9310130</td>\n","      <td>13842600</td>\n","      <td>12001220</td>\n","      <td>46245330</td>\n","      <td>53635430</td>\n","      <td>7390100</td>\n","      <td>증가</td>\n","      <td>-2401130</td>\n","      <td>-1947790</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>99880760</td>\n","      <td>4</td>\n","      <td>평일</td>\n","      <td>676</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>기존</td>\n","      <td>M</td>\n","      <td>60세이상</td>\n","      <td>0.159802</td>\n","      <td>0.159802</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>3165167</td>\n","      <td>302782</td>\n","      <td>548433</td>\n","      <td>648188</td>\n","      <td>394366</td>\n","      <td>279310</td>\n","      <td>312970</td>\n","      <td>421017</td>\n","      <td>258101</td>\n","      <td>1893769</td>\n","      <td>1271398</td>\n","      <td>-622371</td>\n","      <td>감소</td>\n","      <td>191339</td>\n","      <td>86838</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오전</td>\n","      <td>3165167</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>490</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>기존</td>\n","      <td>M</td>\n","      <td>60세이상</td>\n","      <td>-0.328641</td>\n","      <td>-0.328641</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>16693810</td>\n","      <td>1309643</td>\n","      <td>3732463</td>\n","      <td>2434410</td>\n","      <td>1823100</td>\n","      <td>1737292</td>\n","      <td>1919645</td>\n","      <td>2127112</td>\n","      <td>1610145</td>\n","      <td>9299616</td>\n","      <td>7394194</td>\n","      <td>-1905422</td>\n","      <td>감소</td>\n","      <td>-784596</td>\n","      <td>80320</td>\n","      <td>감소</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>16693810</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>533</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>기존</td>\n","      <td>F</td>\n","      <td>60세이상</td>\n","      <td>-0.204893</td>\n","      <td>-0.204893</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>13237070</td>\n","      <td>3145330</td>\n","      <td>2314820</td>\n","      <td>1827290</td>\n","      <td>398440</td>\n","      <td>2124430</td>\n","      <td>810500</td>\n","      <td>0</td>\n","      <td>2616260</td>\n","      <td>7685880</td>\n","      <td>5551190</td>\n","      <td>-2134690</td>\n","      <td>감소</td>\n","      <td>-3234420</td>\n","      <td>-318670</td>\n","      <td>감소</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>13237070</td>\n","      <td>2</td>\n","      <td>평일</td>\n","      <td>426</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>기존</td>\n","      <td>M</td>\n","      <td>60세이상</td>\n","      <td>-0.277742</td>\n","      <td>-0.277742</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19378</th>\n","      <td>19379</td>\n","      <td>5779280</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>130300</td>\n","      <td>1060320</td>\n","      <td>1131020</td>\n","      <td>1264900</td>\n","      <td>805550</td>\n","      <td>1387190</td>\n","      <td>1190620</td>\n","      <td>4588660</td>\n","      <td>3398040</td>\n","      <td>증가</td>\n","      <td>1190620</td>\n","      <td>-203180</td>\n","      <td>증가</td>\n","      <td>감소</td>\n","      <td>오후</td>\n","      <td>5779280</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>366</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>신규</td>\n","      <td>F</td>\n","      <td>20세~24세</td>\n","      <td>2.854009</td>\n","      <td>10000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>19379</th>\n","      <td>19380</td>\n","      <td>3912977</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>522700</td>\n","      <td>486830</td>\n","      <td>351120</td>\n","      <td>368907</td>\n","      <td>2183420</td>\n","      <td>522700</td>\n","      <td>3390277</td>\n","      <td>2867577</td>\n","      <td>증가</td>\n","      <td>522700</td>\n","      <td>1714377</td>\n","      <td>증가</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>3912977</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>232</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>신규</td>\n","      <td>F</td>\n","      <td>20세~24세</td>\n","      <td>5.486086</td>\n","      <td>10000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>19380</th>\n","      <td>19381</td>\n","      <td>6040669</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1124750</td>\n","      <td>1672421</td>\n","      <td>1867501</td>\n","      <td>1375997</td>\n","      <td>0</td>\n","      <td>6040669</td>\n","      <td>6040669</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>446327</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>6040669</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>402</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>신규</td>\n","      <td>F</td>\n","      <td>40세~44세</td>\n","      <td>inf</td>\n","      <td>10000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>19381</th>\n","      <td>19382</td>\n","      <td>4401773</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>786399</td>\n","      <td>1040340</td>\n","      <td>1266187</td>\n","      <td>1308847</td>\n","      <td>0</td>\n","      <td>4401773</td>\n","      <td>4401773</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>748295</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>4401773</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>435</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>신규</td>\n","      <td>F</td>\n","      <td>45세~49세</td>\n","      <td>inf</td>\n","      <td>10000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>19382</th>\n","      <td>19383</td>\n","      <td>2384400</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>27000</td>\n","      <td>1092360</td>\n","      <td>1265040</td>\n","      <td>0</td>\n","      <td>2384400</td>\n","      <td>2384400</td>\n","      <td>증가</td>\n","      <td>0</td>\n","      <td>2330400</td>\n","      <td>동결</td>\n","      <td>증가</td>\n","      <td>오후</td>\n","      <td>2384400</td>\n","      <td>1</td>\n","      <td>평일</td>\n","      <td>132</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>신규</td>\n","      <td>F</td>\n","      <td>25세~29세</td>\n","      <td>inf</td>\n","      <td>10000.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19383 rows × 30 columns</p>\n","</div>"],"text/plain":["        고객번호      구매금액   14년 1분기   14년 2분기  ...  성별      연령대   매출 증감비율      유효매출증감비율\n","0          1  85042550   9141590  10783765  ...   M    60세이상 -0.426352     -0.426352\n","1          2  99880760  14123470  10199760  ...   M    60세이상  0.159802      0.159802\n","2          3   3165167    302782    548433  ...   M    60세이상 -0.328641     -0.328641\n","3          4  16693810   1309643   3732463  ...   F    60세이상 -0.204893     -0.204893\n","4          5  13237070   3145330   2314820  ...   M    60세이상 -0.277742     -0.277742\n","...      ...       ...       ...       ...  ...  ..      ...       ...           ...\n","19378  19379   5779280         0         0  ...   F  20세~24세  2.854009  10000.000000\n","19379  19380   3912977         0         0  ...   F  20세~24세  5.486086  10000.000000\n","19380  19381   6040669         0         0  ...   F  40세~44세       inf  10000.000000\n","19381  19382   4401773         0         0  ...   F  45세~49세       inf  10000.000000\n","19382  19383   2384400         0         0  ...   F  25세~29세       inf  10000.000000\n","\n","[19383 rows x 30 columns]"]},"metadata":{},"execution_count":123}]},{"cell_type":"code","metadata":{"id":"8BD1gaX6pwuW"},"source":["ch = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/ch.csv', encoding='cp949',index_col=0)\n","ch"],"execution_count":null,"outputs":[]}]}