Pandas_Homework (1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Homework"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import the libraries\n",
    "\n",
    "#### Import արեք pandas գրադարանը pd  անունով"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Id</th>\n",
       "      <th>Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Gender</th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>11349</td>\n",
       "      <td>11350</td>\n",
       "      <td>Emma</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>11350</td>\n",
       "      <td>11351</td>\n",
       "      <td>Madison</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>11351</td>\n",
       "      <td>11352</td>\n",
       "      <td>Hannah</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>11352</td>\n",
       "      <td>11353</td>\n",
       "      <td>Grace</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>11353</td>\n",
       "      <td>11354</td>\n",
       "      <td>Emily</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     Id     Name  Year Gender State  Count\n",
       "0       11349  11350     Emma  2004      F    AK     62\n",
       "1       11350  11351  Madison  2004      F    AK     48\n",
       "2       11351  11352   Hannah  2004      F    AK     46\n",
       "3       11352  11353    Grace  2004      F    AK     44\n",
       "4       11353  11354    Emily  2004      F    AK     41"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "d = pd.read_csv('baby_names.csv')\n",
    "d.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Gender</th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Emma</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Madison</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hannah</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grace</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Emily</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Abigail</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Olivia</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Isabella</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alyssa</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sophia</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Alexis</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hailey</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anna</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Natalie</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sarah</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sydney</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ava</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Trinity</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Haley</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Kaylee</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Taylor</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chloe</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ella</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Mackenzie</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Sierra</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Kayla</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Samantha</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Zoe</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Jessica</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2473</th>\n",
       "      <td>Garrett</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2474</th>\n",
       "      <td>Jason</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2475</th>\n",
       "      <td>Landon</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2476</th>\n",
       "      <td>Nathaniel</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2477</th>\n",
       "      <td>Riley</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2478</th>\n",
       "      <td>Caden</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2479</th>\n",
       "      <td>Carson</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2480</th>\n",
       "      <td>Levi</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2481</th>\n",
       "      <td>Micah</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2482</th>\n",
       "      <td>Seth</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2483</th>\n",
       "      <td>Carter</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2484</th>\n",
       "      <td>Cole</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2485</th>\n",
       "      <td>Dawson</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2486</th>\n",
       "      <td>Jordan</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2487</th>\n",
       "      <td>Christian</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>Colton</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>Dakota</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>Dustin</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>Elias</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>Jeremiah</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>Trevor</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>Tristan</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>Xander</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2496</th>\n",
       "      <td>Bryce</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2497</th>\n",
       "      <td>Colin</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2498</th>\n",
       "      <td>Devin</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2499</th>\n",
       "      <td>Liam</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2500</th>\n",
       "      <td>Paul</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2501</th>\n",
       "      <td>Richard</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2502</th>\n",
       "      <td>Trenton</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2503 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Name  Year Gender State  Count\n",
       "0          Emma  2004      F    AK     62\n",
       "1       Madison  2004      F    AK     48\n",
       "2        Hannah  2004      F    AK     46\n",
       "3         Grace  2004      F    AK     44\n",
       "4         Emily  2004      F    AK     41\n",
       "5       Abigail  2004      F    AK     37\n",
       "6        Olivia  2004      F    AK     33\n",
       "7      Isabella  2004      F    AK     30\n",
       "8        Alyssa  2004      F    AK     29\n",
       "9        Sophia  2004      F    AK     28\n",
       "10       Alexis  2004      F    AK     27\n",
       "11    Elizabeth  2004      F    AK     27\n",
       "12       Hailey  2004      F    AK     27\n",
       "13         Anna  2004      F    AK     26\n",
       "14      Natalie  2004      F    AK     25\n",
       "15        Sarah  2004      F    AK     25\n",
       "16       Sydney  2004      F    AK     25\n",
       "17          Ava  2004      F    AK     23\n",
       "18      Trinity  2004      F    AK     22\n",
       "19        Haley  2004      F    AK     21\n",
       "20       Kaylee  2004      F    AK     21\n",
       "21       Taylor  2004      F    AK     21\n",
       "22        Chloe  2004      F    AK     20\n",
       "23         Ella  2004      F    AK     20\n",
       "24    Mackenzie  2004      F    AK     20\n",
       "25       Sierra  2004      F    AK     19\n",
       "26        Kayla  2004      F    AK     18\n",
       "27     Samantha  2004      F    AK     18\n",
       "28          Zoe  2004      F    AK     18\n",
       "29      Jessica  2004      F    AK     17\n",
       "...         ...   ...    ...   ...    ...\n",
       "2473    Garrett  2004      M    AK     16\n",
       "2474      Jason  2004      M    AK     16\n",
       "2475     Landon  2004      M    AK     16\n",
       "2476  Nathaniel  2004      M    AK     16\n",
       "2477      Riley  2004      M    AK     16\n",
       "2478      Caden  2004      M    AK     15\n",
       "2479     Carson  2004      M    AK     15\n",
       "2480       Levi  2004      M    AK     15\n",
       "2481      Micah  2004      M    AK     15\n",
       "2482       Seth  2004      M    AK     15\n",
       "2483     Carter  2004      M    AK     14\n",
       "2484       Cole  2004      M    AK     14\n",
       "2485     Dawson  2004      M    AK     14\n",
       "2486     Jordan  2004      M    AK     14\n",
       "2487  Christian  2004      M    AK     13\n",
       "2488     Colton  2004      M    AK     13\n",
       "2489     Dakota  2004      M    AK     13\n",
       "2490     Dustin  2004      M    AK     13\n",
       "2491      Elias  2004      M    AK     13\n",
       "2492   Jeremiah  2004      M    AK     13\n",
       "2493     Trevor  2004      M    AK     13\n",
       "2494    Tristan  2004      M    AK     13\n",
       "2495     Xander  2004      M    AK     13\n",
       "2496      Bryce  2004      M    AK     12\n",
       "2497      Colin  2004      M    AK     12\n",
       "2498      Devin  2004      M    AK     12\n",
       "2499       Liam  2004      M    AK     12\n",
       "2500       Paul  2004      M    AK     12\n",
       "2501    Richard  2004      M    AK     12\n",
       "2502    Trenton  2004      M    AK     12\n",
       "\n",
       "[2503 rows x 5 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.drop(['Unnamed: 0', 'Id'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import the dataset baby_names.txt, assign it to a variable called baby_names\n",
    "\n",
    "### Import արեք baby_names.txt dataset-ը ու այն վերագրեք baby_names փոփոխականի"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "baby_names = pd.read_csv('baby_names.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### See the first 10 entries.\n",
    "\n",
    "### Տպեք առաջին 10 արժեքը"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Unnamed: 0</th>\n",
       "      <th>Id</th>\n",
       "      <th>Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Gender</th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>11349</td>\n",
       "      <td>11350</td>\n",
       "      <td>Emma</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>11350</td>\n",
       "      <td>11351</td>\n",
       "      <td>Madison</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>11351</td>\n",
       "      <td>11352</td>\n",
       "      <td>Hannah</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>11352</td>\n",
       "      <td>11353</td>\n",
       "      <td>Grace</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>11353</td>\n",
       "      <td>11354</td>\n",
       "      <td>Emily</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>11354</td>\n",
       "      <td>11355</td>\n",
       "      <td>Abigail</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>11355</td>\n",
       "      <td>11356</td>\n",
       "      <td>Olivia</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>11356</td>\n",
       "      <td>11357</td>\n",
       "      <td>Isabella</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>11357</td>\n",
       "      <td>11358</td>\n",
       "      <td>Alyssa</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>11358</td>\n",
       "      <td>11359</td>\n",
       "      <td>Sophia</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     Id      Name  Year Gender State  Count\n",
       "0       11349  11350      Emma  2004      F    AK     62\n",
       "1       11350  11351   Madison  2004      F    AK     48\n",
       "2       11351  11352    Hannah  2004      F    AK     46\n",
       "3       11352  11353     Grace  2004      F    AK     44\n",
       "4       11353  11354     Emily  2004      F    AK     41\n",
       "5       11354  11355   Abigail  2004      F    AK     37\n",
       "6       11355  11356    Olivia  2004      F    AK     33\n",
       "7       11356  11357  Isabella  2004      F    AK     30\n",
       "8       11357  11358    Alyssa  2004      F    AK     29\n",
       "9       11358  11359    Sophia  2004      F    AK     28"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Delete the columns 'Unnamed: 0' and 'Id'\n",
    "\n",
    "### Ջնջեք 'Unnamed: 0' ու 'Id' սյուները"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "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>Name</th>\n",
       "      <th>Year</th>\n",
       "      <th>Gender</th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Emma</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Madison</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Hannah</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Grace</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Emily</td>\n",
       "      <td>2004</td>\n",
       "      <td>F</td>\n",
       "      <td>AK</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2498</td>\n",
       "      <td>Devin</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2499</td>\n",
       "      <td>Liam</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2500</td>\n",
       "      <td>Paul</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2501</td>\n",
       "      <td>Richard</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2502</td>\n",
       "      <td>Trenton</td>\n",
       "      <td>2004</td>\n",
       "      <td>M</td>\n",
       "      <td>AK</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2503 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Name  Year Gender State  Count\n",
       "0        Emma  2004      F    AK     62\n",
       "1     Madison  2004      F    AK     48\n",
       "2      Hannah  2004      F    AK     46\n",
       "3       Grace  2004      F    AK     44\n",
       "4       Emily  2004      F    AK     41\n",
       "...       ...   ...    ...   ...    ...\n",
       "2498    Devin  2004      M    AK     12\n",
       "2499     Liam  2004      M    AK     12\n",
       "2500     Paul  2004      M    AK     12\n",
       "2501  Richard  2004      M    AK     12\n",
       "2502  Trenton  2004      M    AK     12\n",
       "\n",
       "[2503 rows x 5 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names = baby_names.drop(['Unnamed: 0','Id'], axis = 1)\n",
    "baby_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Are there more male or female names in the dataset?\n",
    "\n",
    "### Արդյոք dataset-ում ավելի շատ են կանացի թե տղամարդու անունները?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender\n",
       "F    482\n",
       "M     99\n",
       "Name: Name, dtype: int64"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names.groupby('Gender')['Name'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Delete the column 'Year'. Group the dataset by name and assign to names.\n",
    "\n",
    "### Ջնջեք 'Year' սյունը. Խմբավորեք dataset-ը ըստ անունի ու վերագրեք արդյունքը names փոփոխականին"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x000001D53F32DC08>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names = baby_names.drop(['Year'],axis = 1)\n",
    "names = baby_names.groupby('Name')\n",
    "names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How many different names exist in the dataset?\n",
    "\n",
    "### Քանի հատ տարբեր անուն կա dataset-ում?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name    575\n",
       "dtype: int64"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names[['Name']].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the name with most occurrences?\n",
    "\n",
    "### Որն է ամենաշատ հանդիպող անունը?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Riley'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(dict(baby_names['Name'].value_counts()).keys())[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the median name occurrence?\n",
    "\n",
    "### Որն է անունների հանդիպման մեդիանը՞ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names['Name'].value_counts().median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get a summary with the mean, min, max, std and quartiles.\n",
    "\n",
    "### Ստացեք dataset-ի ամփոփում mean, min, max, std ու quartile-ներով"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Aaliyah</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.636364</td>\n",
       "      <td>2.335497</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Aaron</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Abby</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Abigail</td>\n",
       "      <td>11.0</td>\n",
       "      <td>35.636364</td>\n",
       "      <td>4.863594</td>\n",
       "      <td>28.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Ada</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>Wyatt</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Xander</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zachary</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zoe</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.454545</td>\n",
       "      <td>3.643175</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>15.0</td>\n",
       "      <td>17.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zoey</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>7.758866</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>575 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Count                                                   \n",
       "        count       mean       std   min   25%   50%   75%   max\n",
       "Name                                                            \n",
       "Aaliyah  11.0  10.636364  2.335497   6.0   9.5  11.0  12.0  14.0\n",
       "Aaron     1.0  29.000000       NaN  29.0  29.0  29.0  29.0  29.0\n",
       "Abby      2.0   6.000000  0.000000   6.0   6.0   6.0   6.0   6.0\n",
       "Abigail  11.0  35.636364  4.863594  28.0  32.0  37.0  39.0  43.0\n",
       "Ada       1.0   5.000000       NaN   5.0   5.0   5.0   5.0   5.0\n",
       "...       ...        ...       ...   ...   ...   ...   ...   ...\n",
       "Wyatt     1.0  20.000000       NaN  20.0  20.0  20.0  20.0  20.0\n",
       "Xander    1.0  13.000000       NaN  13.0  13.0  13.0  13.0  13.0\n",
       "Zachary   1.0  27.000000       NaN  27.0  27.0  27.0  27.0  27.0\n",
       "Zoe      11.0  14.454545  3.643175   9.0  11.5  15.0  17.5  19.0\n",
       "Zoey     11.0  14.000000  7.758866   6.0   8.0  12.0  19.0  30.0\n",
       "\n",
       "[575 rows x 8 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names.groupby('Name').describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>2503.000000</td>\n",
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       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>11.485018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>8.830294</td>\n",
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       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>5.000000</td>\n",
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       "      <td>25%</td>\n",
       "      <td>6.000000</td>\n",
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       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>13.000000</td>\n",
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       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>65.000000</td>\n",
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      "text/plain": [
       "             Count\n",
       "count  2503.000000\n",
       "mean     11.485018\n",
       "std       8.830294\n",
       "min       5.000000\n",
       "25%       6.000000\n",
       "50%       8.000000\n",
       "75%      13.000000\n",
       "max      65.000000"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baby_names.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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