Project - Job Outcomes for Recent Graduates using Data Visualization with Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysing Job Outcomes for Recent Graduates using Pandas Visualization Functionality\n",
    "\n",
    "In this  project, we'll use the pandas plotting functionality along with the Jupyter notebook interface to explore data quickly using visualizations.\n",
    "We'll be working with a dataset on the job outcomes of students who graduated from college between 2010 and 2012. The original data on job outcomes was released by (American Community Survey)[https://www.census.gov/programs-surveys/acs/], which conducts surveys and aggregates the data. FiveThirtyEight cleaned the dataset and released it on their (Github repo)[https://github.com/fivethirtyeight/data/tree/master/college-majors].\n",
    "\n",
    "## Step1: Data Exploration and Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 173 entries, 0 to 172\n",
      "Data columns (total 21 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   Rank                  173 non-null    int64  \n",
      " 1   Major_code            173 non-null    int64  \n",
      " 2   Major                 173 non-null    object \n",
      " 3   Total                 172 non-null    float64\n",
      " 4   Men                   172 non-null    float64\n",
      " 5   Women                 172 non-null    float64\n",
      " 6   Major_category        173 non-null    object \n",
      " 7   ShareWomen            172 non-null    float64\n",
      " 8   Sample_size           173 non-null    int64  \n",
      " 9   Employed              173 non-null    int64  \n",
      " 10  Full_time             173 non-null    int64  \n",
      " 11  Part_time             173 non-null    int64  \n",
      " 12  Full_time_year_round  173 non-null    int64  \n",
      " 13  Unemployed            173 non-null    int64  \n",
      " 14  Unemployment_rate     173 non-null    float64\n",
      " 15  Median                173 non-null    int64  \n",
      " 16  P25th                 173 non-null    int64  \n",
      " 17  P75th                 173 non-null    int64  \n",
      " 18  College_jobs          173 non-null    int64  \n",
      " 19  Non_college_jobs      173 non-null    int64  \n",
      " 20  Low_wage_jobs         173 non-null    int64  \n",
      "dtypes: float64(5), int64(14), object(2)\n",
      "memory usage: 28.5+ KB\n"
     ]
    }
   ],
   "source": [
    "recent_grads=pd.read_csv('recent-grads.csv')\n",
    "recent_grads.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                                        1\n",
      "Major_code                               2419\n",
      "Major                   PETROLEUM ENGINEERING\n",
      "Total                                    2339\n",
      "Men                                      2057\n",
      "Women                                     282\n",
      "Major_category                    Engineering\n",
      "ShareWomen                           0.120564\n",
      "Sample_size                                36\n",
      "Employed                                 1976\n",
      "Full_time                                1849\n",
      "Part_time                                 270\n",
      "Full_time_year_round                     1207\n",
      "Unemployed                                 37\n",
      "Unemployment_rate                   0.0183805\n",
      "Median                                 110000\n",
      "P25th                                   95000\n",
      "P75th                                  125000\n",
      "College_jobs                             1534\n",
      "Non_college_jobs                          364\n",
      "Low_wage_jobs                             193\n",
      "Name: 0, dtype: object\n",
      "   Rank  Major_code                                      Major    Total  \\\n",
      "0     1        2419                      PETROLEUM ENGINEERING   2339.0   \n",
      "1     2        2416             MINING AND MINERAL ENGINEERING    756.0   \n",
      "2     3        2415                  METALLURGICAL ENGINEERING    856.0   \n",
      "3     4        2417  NAVAL ARCHITECTURE AND MARINE ENGINEERING   1258.0   \n",
      "4     5        2405                       CHEMICAL ENGINEERING  32260.0   \n",
      "\n",
      "       Men    Women Major_category  ShareWomen  Sample_size  Employed  ...  \\\n",
      "0   2057.0    282.0    Engineering    0.120564           36      1976  ...   \n",
      "1    679.0     77.0    Engineering    0.101852            7       640  ...   \n",
      "2    725.0    131.0    Engineering    0.153037            3       648  ...   \n",
      "3   1123.0    135.0    Engineering    0.107313           16       758  ...   \n",
      "4  21239.0  11021.0    Engineering    0.341631          289     25694  ...   \n",
      "\n",
      "   Part_time  Full_time_year_round  Unemployed  Unemployment_rate  Median  \\\n",
      "0        270                  1207          37           0.018381  110000   \n",
      "1        170                   388          85           0.117241   75000   \n",
      "2        133                   340          16           0.024096   73000   \n",
      "3        150                   692          40           0.050125   70000   \n",
      "4       5180                 16697        1672           0.061098   65000   \n",
      "\n",
      "   P25th   P75th  College_jobs  Non_college_jobs  Low_wage_jobs  \n",
      "0  95000  125000          1534               364            193  \n",
      "1  55000   90000           350               257             50  \n",
      "2  50000  105000           456               176              0  \n",
      "3  43000   80000           529               102              0  \n",
      "4  50000   75000         18314              4440            972  \n",
      "\n",
      "[5 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "print(recent_grads.iloc[0])\n",
    "print(recent_grads.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Rank  Major_code                   Major   Total     Men   Women  \\\n",
      "168   169        3609                 ZOOLOGY  8409.0  3050.0  5359.0   \n",
      "169   170        5201  EDUCATIONAL PSYCHOLOGY  2854.0   522.0  2332.0   \n",
      "170   171        5202     CLINICAL PSYCHOLOGY  2838.0   568.0  2270.0   \n",
      "171   172        5203   COUNSELING PSYCHOLOGY  4626.0   931.0  3695.0   \n",
      "172   173        3501         LIBRARY SCIENCE  1098.0   134.0   964.0   \n",
      "\n",
      "               Major_category  ShareWomen  Sample_size  Employed  ...  \\\n",
      "168    Biology & Life Science    0.637293           47      6259  ...   \n",
      "169  Psychology & Social Work    0.817099            7      2125  ...   \n",
      "170  Psychology & Social Work    0.799859           13      2101  ...   \n",
      "171  Psychology & Social Work    0.798746           21      3777  ...   \n",
      "172                 Education    0.877960            2       742  ...   \n",
      "\n",
      "     Part_time  Full_time_year_round  Unemployed  Unemployment_rate  Median  \\\n",
      "168       2190                  3602         304           0.046320   26000   \n",
      "169        572                  1211         148           0.065112   25000   \n",
      "170        648                  1293         368           0.149048   25000   \n",
      "171        965                  2738         214           0.053621   23400   \n",
      "172        237                   410          87           0.104946   22000   \n",
      "\n",
      "     P25th  P75th  College_jobs  Non_college_jobs  Low_wage_jobs  \n",
      "168  20000  39000          2771              2947            743  \n",
      "169  24000  34000          1488               615             82  \n",
      "170  25000  40000           986               870            622  \n",
      "171  19200  26000          2403              1245            308  \n",
      "172  20000  22000           288               338            192  \n",
      "\n",
      "[5 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "print(recent_grads.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                    173\n",
      "Major_code              173\n",
      "Major                   173\n",
      "Total                   172\n",
      "Men                     172\n",
      "Women                   172\n",
      "Major_category          173\n",
      "ShareWomen              172\n",
      "Sample_size             173\n",
      "Employed                173\n",
      "Full_time               173\n",
      "Part_time               173\n",
      "Full_time_year_round    173\n",
      "Unemployed              173\n",
      "Unemployment_rate       173\n",
      "Median                  173\n",
      "P25th                   173\n",
      "P75th                   173\n",
      "College_jobs            173\n",
      "Non_college_jobs        173\n",
      "Low_wage_jobs           173\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "raw_data_count=recent_grads.count(axis=0)\n",
    "print(raw_data_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             Rank   Major_code          Total            Men          Women  \\\n",
      "count  172.000000   172.000000     172.000000     172.000000     172.000000   \n",
      "mean    87.377907  3895.953488   39370.081395   16723.406977   22646.674419   \n",
      "std     49.983181  1679.240095   63483.491009   28122.433474   41057.330740   \n",
      "min      1.000000  1100.000000     124.000000     119.000000       0.000000   \n",
      "25%     44.750000  2403.750000    4549.750000    2177.500000    1778.250000   \n",
      "50%     87.500000  3608.500000   15104.000000    5434.000000    8386.500000   \n",
      "75%    130.250000  5503.250000   38909.750000   14631.000000   22553.750000   \n",
      "max    173.000000  6403.000000  393735.000000  173809.000000  307087.000000   \n",
      "\n",
      "       ShareWomen  Sample_size      Employed      Full_time      Part_time  \\\n",
      "count  172.000000   172.000000     172.00000     172.000000     172.000000   \n",
      "mean     0.522223   357.941860   31355.80814   26165.767442    8877.232558   \n",
      "std      0.231205   619.680419   50777.42865   42957.122320   14679.038729   \n",
      "min      0.000000     2.000000       0.00000     111.000000       0.000000   \n",
      "25%      0.336026    42.000000    3734.75000    3181.000000    1013.750000   \n",
      "50%      0.534024   131.000000   12031.50000   10073.500000    3332.500000   \n",
      "75%      0.703299   339.000000   31701.25000   25447.250000    9981.000000   \n",
      "max      0.968954  4212.000000  307933.00000  251540.000000  115172.000000   \n",
      "\n",
      "       Full_time_year_round    Unemployed  Unemployment_rate         Median  \\\n",
      "count            172.000000    172.000000         172.000000     172.000000   \n",
      "mean           19798.843023   2428.412791           0.068024   40076.744186   \n",
      "std            33229.227514   4121.730452           0.030340   11461.388773   \n",
      "min              111.000000      0.000000           0.000000   22000.000000   \n",
      "25%             2474.750000    299.500000           0.050261   33000.000000   \n",
      "50%             7436.500000    905.000000           0.067544   36000.000000   \n",
      "75%            17674.750000   2397.000000           0.087247   45000.000000   \n",
      "max           199897.000000  28169.000000           0.177226  110000.000000   \n",
      "\n",
      "              P25th          P75th   College_jobs  Non_college_jobs  \\\n",
      "count    172.000000     172.000000     172.000000        172.000000   \n",
      "mean   29486.918605   51386.627907   12387.401163      13354.325581   \n",
      "std     9190.769927   14882.278650   21344.967522      23841.326605   \n",
      "min    18500.000000   22000.000000       0.000000          0.000000   \n",
      "25%    24000.000000   41750.000000    1744.750000       1594.000000   \n",
      "50%    27000.000000   47000.000000    4467.500000       4603.500000   \n",
      "75%    33250.000000   58500.000000   14595.750000      11791.750000   \n",
      "max    95000.000000  125000.000000  151643.000000     148395.000000   \n",
      "\n",
      "       Low_wage_jobs  \n",
      "count     172.000000  \n",
      "mean     3878.633721  \n",
      "std      6960.467621  \n",
      "min         0.000000  \n",
      "25%       336.750000  \n",
      "50%      1238.500000  \n",
      "75%      3496.000000  \n",
      "max     48207.000000  \n"
     ]
    }
   ],
   "source": [
    "recent_grads=recent_grads.dropna()\n",
    "print(recent_grads.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                    172\n",
      "Major_code              172\n",
      "Major                   172\n",
      "Total                   172\n",
      "Men                     172\n",
      "Women                   172\n",
      "Major_category          172\n",
      "ShareWomen              172\n",
      "Sample_size             172\n",
      "Employed                172\n",
      "Full_time               172\n",
      "Part_time               172\n",
      "Full_time_year_round    172\n",
      "Unemployed              172\n",
      "Unemployment_rate       172\n",
      "Median                  172\n",
      "P25th                   172\n",
      "P75th                   172\n",
      "College_jobs            172\n",
      "Non_college_jobs        172\n",
      "Low_wage_jobs           172\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "cleaned_data_count=recent_grads.count(axis=0)\n",
    "print(cleaned_data_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step-2: Analysis using Pandas Visualization Functionality\n",
    "\n",
    "### Scatter Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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L/ADoB34IfAL4CvD5iHh/se1TxUs+BfxTRPRQqfm+tnifTRFxNZXw7gfelJkDABHxB8DXqIyw+PvM3DRV1ydJjYpKZVLd3d25bt26soshaZaJiNsys7vePmfCSVJJDGBJKokBLEklMYAlqSQGsCSVxACWpJIYwJJUEgNYkkpiAEtSSQxgSSqJASxJJTGAJakkBrAklcQAlqSSGMCSVBIDWJJKYgBLUkkMYEkqiQEsSSUxgCWpJAZwi7bv6WXD5p1s39NbdlEkzVBTflv62eDa9Q9y6TUb6Wxro29wkMsvOJnzVq8ou1iSZhhrwE3avqeXS6/ZyL6+QXb39rOvb5A112y0JiypaQZwk7bs2Etn28EfW2dbG1t27C2pRJJmKgO4SSuXLKBvcPCgbX2Dg6xcsqCkEkmaqQzgJi1d2MXlF5zM/M42FnV1ML+zjcsvOJmlC7vKLpqkGcZOuBact3oFZ6xaxpYde1m5ZIHhK6klBnCLli7sMngljYtNEJJUEgNYkkpiAEtSSQzgFjkVWdJ42QnXAqciS5oI1oCb5FRkSRPFAG6SU5ElTRQDuElORZY0UQzgJjkVWdJEsROuBU5FljQRDOAWORVZ0njZBCFJJTGAJakkBrAklcQAlqSSGMCSVBIDWJJKYgBLUkkMYEkqiQEsSSUxgFvkguySxsupyC1wQXZJE8EacJNckF3SRDGAm+SC7JImigHcJBdklzRRDOAmuSC7pIliJ1wLXJBd0kQwgFvkguySxssmCEkqiQEsSSVpqAkiIo4Efhc4tvY1mfnbk1MsSZr9Gm0Dvhb4LvDvwMDkFUeS5o5GA/iQzLx0UksiSXNMo23AX46IV0xqSSRpjmk0gN9CJYT3RsSuiNgdEbsms2CSNNs11ASRmYsmuyCSNNc0PBEjIpYAxwPzq9sy88bJKJQkzQWNDkP7HSrNECuB9cBpwM3AWZNXNEma3ZppA34ecH9mvgR4DrBt0kolSXNAowG8LzP3AUREV2b+CHj25BVLkma/RtuAt0TE4cCXgBsiYgewdfKKJUmzX6OjIH61ePjuiPgWsBj4t0krlSTNAaMGcEQclpm7IuKIms23F78XAo9NWskkaZYbqwb8WeBc4DYggajZl8AzJ6lckjTrjRrAmXlu8fu4qSmOJM0dYzVBnDra/sz8wcQWR5LmjrGaIP6y+D0f6AY2UGmGOBm4FXjh5BVNkma3UccBZ+ZLiokX9wOnZmZ3Zj6XykSMnqkooCTNVo1OxPi5zKyOfiAz7wBWT06RZobte3rZsHkn2/f0lvoekmauRidi3BURnwQ+TWX0w28Ad01aqaa5a9c/yKXXbKSzrY2+wUEuv+Bkzlu9YsrfQ9LM1mgN+A3AJiprQrwVuLPYNuds39PLpddsZF/fILt7+9nXN8iaazY2VYudiPeQNPM1OhNuX0R8HLg+M388yWWa1rbs2EtnWxv7GDywrbOtjS079rJ0YdeUvYekma+hGnBEnEdlGcp/K56vjojrJrNg09XKJQvoGxw8aFvf4CArlyyY0veQNPM12gTxLuD5wE6AzFxP5Rb1c87ShV1cfsHJzO9sY1FXB/M727j8gpObqrlOxHtImvka7YTrz8zHI2LsI+eA81av4IxVy9iyYy8rlyxoKTgn4j0kzWyNBvAdEfE6oD0ijgfeDPzH5BVr+lu6sGvcoTkR7yFp5mq0CeIPgROBXuBzwC4qoyEkSS1qdBTEk8CfFj+SpAkw1mI8o450yMzzJrY4kjR3jFUDPh3YTKXZ4VYOXg9YkjQOYwXwzwC/DPw68DrgK8DnMnPTZBdMkma7sVZDG8jMf8vMi4HTqKyA9u2I+MMpKZ0kzWJjdsJFRBfwSiq14GOBK4AvTm6xJGn2G6sT7krgJOCrwHuKZSglSRNgrBrwbwJPAM8C3lwzEy6AzMzDJrFskjSrjXVTzkYnasw52/f0smXHXg6d184T+wecTiypaY1ORVaN6mLqAPv6BulqD6ItXFRdUlOs4TapdjH1fX2VJSV7B9JF1SU1zQBuUnUx9Xqqi6pLUiMM4CbVW0y9ykXVJTXDAG5S7WLq8zsrH19Xe7iouqSm2QnXgtrF1B0FIalVBnCLXExd0njZBCFJJTGAJakkBrAklaSUAI6IwyNibUT8KCLuiojTI+KIiLghIu4pfi8pjo2IuCIieiJiY0ScWvM+FxfH3xMRF9dsf25E3F685oqYpNs5b9/Ty4bNO9m+p/egx0P3jed9p+J10+X9pbmmrE64vwb+LTMvjIh5wCHAnwDfyMwPRMRlwGXApcA5wPHFzwuAjwEviIgjgHcB3UACt0XEdZm5ozjmEuAW4HrgbCoruk2Y6nTkzrY29vUPkJks6Oygb3CQ13Sv5Op1W+hsa6NvcLCpKcq179vMa1t9XaMm+/2luWjKa8ARcRhwJvApgMzcn5k7gfOBK4vDrgReVTw+H7gqK24BDo+IpwMvB27IzMeK0L0BOLvYd1hm3pyZCVxV814TonY68u7efvoGkv5B2N3bz76+Qa66+YED+5qZojz0fRt9bauva/V6nXYtTYwymiCeCWwD/iEifhgRn4yIQ4GjMvMhgOL304rjV1C5L13VlmLbaNu31Nk+TERcEhHrImLdtm3bGr6A0aYj19PoFOV679vIa1t9XaMm+/2luaqMAO4ATgU+lpnPobLe8GWjHF+v/TZb2D58Y+YnMrM7M7uPPPLI0UtdY7TpyPU0OkW53vs28tpWX9eoyX5/aa4qI4C3AFsy89bi+Voqgfxw0XxA8fuRmuOPrnn9SmDrGNtX1tk+YWqnIy/q6qCzPehog0VdHczvbOOi0485sK+ZKcpD37fR17b6ulav12nX0sSISjPpFJ804rvA72TmjyPi3cChxa7tNZ1wR2Tmmoh4JfAHwCuodMJdkZnPLzrhbqMS3gA/AJ6bmY9FxPeBPwRupdIJ9zeZef1oZeru7s5169Y1dR3VRdmrNcHq46ULuw7a12xQtfra8ZxzOry/NBtFxG2Z2V1vX1mjIP4Q+EwxAuJe4A1UauNXR8QbgQeAVxfHXk8lfHuAJ4tjKYL2fcD3i+Pem5mPFY9/H/hHYAGV0Q8TOgKiauh05KGPWw2pVl872dOjnX4tTaxSasDTUSs1YEkay2g1YGfCSVJJDGBJKokBPA5OzZU0Hq4H3CKn5koaL2vALXBqrqSJYAC3wKm5kiaCAdwCp+ZKmggGcAuGTs3t6gje9OJVZRdL0gxjALfovNUruOnSs/jdM58JBJ+48V7O+OA3uW79gwcd50gJSSNxFMQ4/d23e+jtH6S3v9IkseaajZyxahlLF3Y5UkLSqKwBj8NonXGOlJA0FgN4HEbrjHOkhKSxGMDjMNo6uY6UkDQW24DH6bzVKzhj1bJh6+RWw3nNkDbg6bS+r6RyGcATYKR1ckcK50bYgSfNfgbwJGtlEfPaDrx9DB9dIWl2sA14GrIDT5obDOBpyA48aW4wgKch70IszQ22AU9T4+nAkzQzGMDTmHchlmY3myAkqSQGsCSVxACWpJLYBtyi7Xt62bT1cSA4cflhttVKapoB3IJr1z/I276wgb6BBKCjDT78mtVOFZbUFJsgmrR9Ty9r1m48EL4A/YPw9rUbXOtXUlMM4CZt2bGX9rYYtr09nCosqTkGcJNWLlnAwGAO2z6QThWW1BwDuElLF3bxoQtPprP9qVpwRxt86MJT7IiT1BQ74VpQnSbsKIj6XEheaowB3KKlC7s481lPK7sY044LyUuNswlCE8Y7QUvNMYA1YVxIXmqOAawJ40LyUnMMYE0YF5KXmmMn3DgM7e2399+F5KVmGMAtGtrb/5rulVy9bou9/7iQvNQomyBaUK+3/6qbH7D3X1JTDOAW1OvtH8ref0ljMYBbUK+3fyh7/yWNxQBuQb3e/otOP6ap3v/te3rZsHmnzRTSHGYnXIvq9fa/5aXPaqj33+m6ksAAHpehvf2N9P7XduDto9KMseaajZyxapkjB6Q5xiaIKeZ0XUlVBvAUc7qupCoDeIo5XVdSlW3ALdq+p5ebf7Kd+7c/wRGHzmPFkkM4cflhAAc64mof1wbsUwu67wKSE5cvbrkMTvmVZi4DuAXXrn+Q/3X1hmH3hmuLys+Czg729Q+QmSzo7Kg70uF7PY+OaySEIymkmc8miCZVb0tf78acg1m5Rf3u3n76BvLA46FTk8e7cLkLn0uzgwHcpC079jL8pvRjqx3pMN6REI6kkGYHA7hJK5csYHjdd2y1Ix3GOxLCkRTS7GAAN6l6W/r2tuH14Lao3KJ+UVcHne1x4PHQkQ7jHQnhSAppdojMVupzs093d3euW7eu4ePHMwqi9j3GM4rBURDS9BcRt2Vmd719joJo0dKFXZx7yvIR99V7XO+48QSnC59LM5tNEJJUEgNYkkpiAEtSSQxgaZpy0f7Zz044aRpyqvncYA1Ymmacaj53GMDSNONU87nDAJamGaeazx0GsDTNONV87rATTlNutk2hnozrqXfXbc0+BrCm1Gzr3Z/M63Gq+exnE4SmzGzr3Z9t16OpZwBrysy23v3Zdj2aegawpsxs692fbdejqWcAj0PtVNHRpo06pbRitvXuz7br0dRzQfZCswuy13a+jHYH5NnW6TQRHAWhucQF2SdYbefLPp76Crq7tx+ANdds5IxVywCGHVfdN5f/oc623v3Zdj2aOjZBtKBe50utakeMnTSSRmMNuAX1Ol9q1XbE2EkjaSTWgFswtPNlpDsg20kjaTR2whVauSvypq2P8+COvfT2D3DS8sV0drQf6Iip7N8FJId0tvPT7U+y+ujDWXXUoqbOMVLnjh0/U8PPWeNlJ9wEq45sGBhM+gae+g/sotOP4b3n/wLXrn+QP7p6Pf01rQ9d7UG0RcOjIEYbPeHIiqnh56zJZhNEk2pHQNSGL8BVNz/Auvu2s2bthoPCF6B3IBueqjraFFenv04NP2dNBQO4SWONgLjxnkdpj7FHSDR7DkdWTC0/Z00FmyCaNNYIiFNWLmYgGxsh0cw5HFkxtZxmrKlgDbhJ1ZEN89pj2L7O9mDZovl86MJT6BjyyXa1R8OjIEYbPeHIiqnh56yp4CiIQrOjIHoe3s05V3z3oHbg+Z1t3HTpWcNGQSxfvIAn9g803ZPuKIjy+TlrvBwFMQk2PbTroOcdbRxUQ1q6sIszn3XkuM4x2hRXp79ODT9nTSabIFpQ7SGvrf22t7UdWP9BkhphALegXg/5vHZ7yCU1xwBugT3kkiaCAdwCe8glTQQ74VrkbcMljZcBPA72kEsaD5sgJKkkBrAklcQAlqSS2AbcotopqoCdcZKaZgC3oNFb0kvSaGyCaNLQhbr7BpL+QVy0W1LTDOAmNXpLekkaiwHcpGZuSS9JozGAm1SdhtzVEXQMWZN96JKUkjQaA7gFCQwMQv+QtexdklJSMwzgJm3f08uatRvpHxx+J5GOtrD9V1LDDOAmbdmxl/a24feDA+gbsP1XUuMM4CatXLKAgTq1X4B3/cqJtv9KapgB3KSlC7v40IUn01lzV+T2gP/9qyfx+tOeUWLJJM00pc2Ei4h2YB3wYGaeGxHHAZ8HjgB+APxmZu6PiC7gKuC5wHbg1zLzp8V7/DHwRmAAeHNmfq3Yfjbw10A78MnM/MBElv281Ss4dF47/3jTfezZ38/qo5fw7Kct5Ma7HwGC5Yvn88T+AQ6d137Q3ZCrd0retbcPgMMWdHDi8sUHas3egXdu8M9ZVWVORX4LcBdwWPH8g8BHMvPzEfFxKsH6seL3jsxcFRGvLY77tYg4AXgtcCKwHPj3iHhW8V4fBX4Z2AJ8PyKuy8w7J6rgv/HJW/hez/YDz3+4eRf/8B/3H3RMZ3vQN5B0tQfRFrymeyWfvfUB+ocMIe5sD/7y1aeQcGB6s1OaZ6/aaez+OauUJoiIWAm8Evhk8TyAs4C1xSFXAq8qHp9fPKfY/9Li+POBz2dmb2beB/QAzy9+ejLz3szcT6VWff5ElX3dfdsPCt+RVO+Y3DuQ7Osb5Kqbh4dv9bi3r93ImrUbDkxvdkrz7DR0Grt/ziqrDfivgDVANZKWAjszs794vgWoVgtWAJsBiv2PF8cf2D7kNSNtHyYiLomIdcJNuM4AABfDSURBVBGxbtu2bQ0V/MZ7Hm3ouGa1x8F/FE5pnn3qTWP3z3lum/IAjohzgUcy87bazXUOzTH2Nbt9+MbMT2Rmd2Z2H3nkkaOU+ilnHj85Ey0G0rssz3beTVtDlVEDPgM4LyJ+SqV54CwqNeLDI6LaJr0S2Fo83gIcDVDsXww8Vrt9yGtG2j4huo9byotWLR3zuOooia72YH5nGxedfgwddT7tzvbgQxeezIcuPMW7LM9y3k1bQ0Vm/TGtU3LyiBcDbytGQXwBuKamE25jZv5dRLwJ+IXM/L2iE+7/y8zXRMSJwGeptPkuB74BHE+lBnw38FLgQeD7wOsyc9NoZenu7s5169Y1XPZ1923nc99/gN17+1l11ELOevbTeLJvgPGMguh5eDfrN+9k9dGHs+qoRQ2XRTOLoyDmloi4LTO76+2bTguyXwp8PiLeD/wQ+FSx/VPAP0VED5Wa72sBMnNTRFwN3An0A2/KzAGAiPgD4GtUhqH9/Vjh24ru45bSfdzYNeFaSxd2ceaz6jd12Ds+d3g3bVWVWgOeTpqtAU+k7Xt6OeOD32Rf31Ptg/M727jp0rP8hyrNcKPVgJ0JN07b9/SyYfPOcQ0lsndcmpumUxPEjDNRzQb2jktzkzXgFtUbVP/2tRuG1YQbqSHP9d7xifgWMRf5uU2tyfi8rQG3qNpssI+naq69/clnb32AP3zp8UBzNeTzVq/gjFXL5lzvuJ2PrfFzm1qT9XlbA27RyiUL2D8wMGz7336rh+17eluadrp0YRenHH34nAlfp+a2xs9tak3m520At2jpwi7+4CXHD9ve0RZ860ePsGnrLjvWxmDnY2v83KbWZH7eNkGMw+tecAx/+60eemtW2Xli/wDv/tdN9A0kA3asjcrOx9b4uU2tyfy8rQGPQ3Vx9vmdbRw6r/3A9j29A/T2DzL0xhmv6V45Z5oXGjHXOx9b5ec2tSbz83YiRqHZiRi100kBvvWjR3j3v25iT+/wduEqJ1fU59Tc1vi5Ta1WP++ZMhV5xqjXI/qSn3saf3btHaO+rtpu5D+Wgzk1tzV+blNrMj5vmyCaNFKPKHDQ15SujjjovnFgO52kg1kDblK98b/Vmu0Zq5bxid98LhCcuPwwbup5lDVDasrWWCRVGcBNGqlH9NZ7t/Pqr/+YzvY2BjIPDNSei5MrJDXGJogm1esRPe+U5fz/X/0R+weSJ/YPHDRQe65NrpDUOGvALThv9QqWL57Pjfc8yjOXHcLbrrl92DHtESN2uNl7LQkM4Ja880u3c9UtD4x6zL6+gbodbs7hl1RlE0STeh7ePWb4AkSdW4P2PLybt3/B289LqjCAm7R+886GjpvX3n7QXPFr1z/IK/7me+wfOHjii3P4pbnLAG7S6qMPb+i4gXxqzG917PD+/sFhxzk2WJq7DOAmrTpqERedfsyoxwTw22ccx44n9vPlDVv52Ld/AoPDw3dee4w6Nng8C0A3+trJWGS67IXCyz5/I2ZCGTX57IRrwXOfcQSfvXUz/UNX2ykk8LHv3MvHvnPvqO9zzkk/M2IH3Hg66xp97WR0CJbdyVj2+RsxE8qoqWENuEnb9/SyZu3GEcO3GddueIieh3fXPUerC0A3+trJWGS67IXCyz5/I2ZCGTV1DOAmbdmxl/a2OkMcWlSvU288C0A3+trJWGS67IXCyz5/I2ZCGTV1DOAmrVyygIEJqP1W1evUG88C0I2+djIWmS57ofCyz9+ImVBGTR0DuEnVRdiHrnTWiotOP4ZVRy2qe45WF4Bu9LWTsch02QuFl33+RsyEMmrquCB7odkF2Xse3s33erbR1dHOovmdHLagk+WL57P18X38+L928cjufZz49MO4+5E97NrbT/czDqd/EJYc0smOJ/tYffThB4VvvenJ45my3OhrWznvePdPtrLP34iZUEZNjNEWZDeAC80E8Gi92CNNU+5ogw+/ZvWUjUZo1VhlmU5llWaC0QLYJogmjdaLPdo05f5BePvaDVMyGqFVY5VlOpVVmg0M4CbV68Vuo3JPuO/1PDrqa9tjakYjtGqsskxGWZ2QoLnMiRhNqteL/WTfIH/6pdHvBwcHT08e7f3K6hUfqywTXVabMzTXWQNu0tKFXbzjlScM297bP0hvnbUeqjra4J3nnsimrbu48e5HDtT4Wu0Vr605TlQtspGyvOnFq+jqiHH34NucIVkDbslJKxazsKt91FvQA8xrb+ONLzyW0392GZsfe5J3XXcH1YzubA/+8tWncN7qFU3fuqi25rivf4DMZEFnx4TUIkcqS+05IbjkzGfyuhcc03IP/mj31nNUgOYKa8AtWLlkQUNTkfcPDPIP//FTli+ez3u/vInaCnLfQPL2tRsPqgk3cuuioTXHvoGkf5AJrUUOLcvQc/b2D/LRb/eM6xzTqelFKosB3ILar+pdY0zIaCP4Xs+jtMfwj7q9LZruwKrXEVZrMjrwJqPzzQkJkk0QLav9qn7ftt289eqNdY97sm+AP//qj+ir0z48MJhN1/jq1RxrTUYtcrJqq941WnOdNeBxqH5Vf9WpR/OiVUtHPK63f5ChkdnZHnzowpMP+pq/YfNOeh7ePWqH2tCaY2d70NHGpNYiJ7O26l2jNZc5E67Q7FTkWtVppY/u3sc3f7yNXU/u54a7HmZff/3Pdl57cP2bX3RgKvJnbrmf9/zrJiKgtz/pag+iLUbtUKue89B57Wx9fC8QnLj8sEkLsu17etm09fEpOU8zNWKn9Gq6G20mnE0Q41Q7OuDJvoGGVkrr6mjnif2VERSfueX+YWOIewcSBpI112zkjFXL6gbL0oVdfK/n0SkZRztV43WbPY/jiDXT2QQxDkNHB9QL3wUdwzvpqu2n2/f08p4v3zni+4/W0TVV42in63kcR6zZwAAeh7FGJAD87pk/y//+1ZPqtp9u2bGXeaOMohito2uqpjBP1/NMpynck83p2rOXTRDjMNaIBIDzTlnOqqMWcfaJPzOsrXKk8cTz2qCtffSOrqkaRztdzzNXxhHbzDK7WQMeh6GjA4beqqh2wfV6vf21rz+0q515HW38yTk/xxd+/wxuuvSsUf+hTdU42ul6nrkwjthmltnPURCFiRgFsXLJAnY8sZ/1m3eOuuA6cFBteKSe/EZ6+KdqFMB0Pc9sHgWxYfNOfuOTt7K7t//AtkVdHXz6d17AKXVuZaXpyVEQk2zpwq4D//iXLuwadpuhRtZuGBoejX71rD33ZJqu55mqcpVhrjSzzGU2QUyyVtZuaPWrp501s8tcaGaZ66wBT7J6q37VqrcCWCsrhdlZMzs5XXt2M4AnWStrNzT71bO2xlwN7dEmcWhmmc3NLHOdTRDjtH1PLzfe/Qg33r3twDoOPQ/v5sa7t3Hj3Y8ADFu7oT3gkM52ujpi2FfKaqfSO155wohfPYc2NcylMbHSbGINeByuXf8gb/vCBvoGnhpJ0tkew57/5atP4aZLz2LLjr3c8eDjvPfLd0IAGcPer7YZ4R3nnsBJyxePuDB6tanhjFXL7KyRZiBrwC3avqeXNWs3HhS2QN3nb19bWapy5ZIFvO8rd9LbP8iT+wfo7X+qc61ex9v7vnznQeE7UuccYGeNNANZA27Rlh17h028GEntwusjda6Ntq8apKN1ztlZI808BnCLVi5Z0NDKZ3DwwuujNRWM1YwwVuecnTXSzGITRIuWLuziQxeeTOeQxXTqPa8uvD7auM5Gxnw6LlSaXZyKXGhlKnJ1kfJde/s4bME8li+ez9bH97Frbx8Ahy3oYPniBTyxf2BYW26z05KHntemBmlmcCryJKg3GmHHk/sP2vaa7pVcvW7LsMkR1RrvSJMnxgpVmxqk2cEacKGZGvD2Pb2c8cFvsq/vqfbYro42IOkd4TZEAPM727jp0rMO1HSHvkftfkmzw2g1YNuAW1Bv4kN7W9S99Xyt2hEPTp6QZBNEC+qNRqiMiBj920TtiAVXupJkDbgF9UYjfOjCk3nnuScyrz04dF478zvbuOj0Y4aNWIDKOq9w8OSJro7gTS9eVeZlSZpitgEXWh0FUR2NUL1DcUdbsH8gedevnMDrX/CMuscMnUb8mVsf4KPf6mFeuyuZSbONbcCTpHqbIeDAFOE9vQPs769MI96+p7fuMbXTiHc8sZ+/+3YPvf3edkaaawzgCbBp6y7aGDIBY0iH2kidbus377QzTpqj7IQbp2vXP8iatRvp7W9tGvHqow+3M06ao6wBj0N1dbKh4Vtvnd+RphGvOmqR04ulOcoa8DjUW53skHntfPw3TuXE5YvZsHnnQdOFR1qxrLp909ZdQHLi8sVlXI6kKWYAj0O9ZoXBTDY/tpdL/um2uvdnG2kacb0REo6EkGY3myDGoV6zwjteeQLv+8qdTd3RuNW7IEua2awBj9PQZoVW7mjcymskzXwG8AQY2qzQ7KgGpyVLc5NNEBOslUXTXWhdmpucilxoZSoyjLw4eiuLprvQujT7uCD7JBlpQXVobdF0F1qX5habIFrkyAVJ42UAt8gF1SWNlwHcIkcuSBovA7hFO57YzwXPWcm8dhy5IKkldsK14J1fup2rbnngwPNf/vllvPdVJxm+kppiDbhJPQ/vPih8Ab5yx3+x44n9JZVI0kxlADdpfXE/t0a3S9JIDOAmrS5uL9TodkkaiQHcpFVHLeKi0485aNtFpx/DqqMWlVQiSTOVnXAteO/5v8BFpx3L+s07WX304YavpJYYwC1addQig1fSuNgEIUklMYDHYfueXjZs3un6D5JaYhNEi0ZbCU2SGmENuAWuhCZpIhjALXAlNEkTwQBugSuhSZoIBnALvIebpIlgJ1yLht6O3vCV1CwDeBy8h5uk8bAJokWOAZY0XtaAW+AYYEkTwRpwkxwDLGmiGMBNcgywpIliADfJMcCSJooB3CTHAEuaKHbCtcAxwJImggHcIscASxovmyAkqSQGsCSVxACWpJJMeQBHxNER8a2IuCsiNkXEW4rtR0TEDRFxT/F7SbE9IuKKiOiJiI0RcWrNe11cHH9PRFxcs/25EXF78ZorIiKm+jolaSxl1ID7gT/KzJ8HTgPeFBEnAJcB38jM44FvFM8BzgGOL34uAT4GlcAG3gW8AHg+8K5qaBfHXFLzurOn4LokqSlTHsCZ+VBm/qB4vBu4C1gBnA9cWRx2JfCq4vH5wFVZcQtweEQ8HXg5cENmPpaZO4AbgLOLfYdl5s2ZmcBVNe8lSdNGqW3AEXEs8BzgVuCozHwIKiENPK04bAWwueZlW4pto23fUmd7vfNfEhHrImLdtm3bxns5ktSU0gI4IhYC1wBvzcxdox1aZ1u2sH34xsxPZGZ3ZnYfeeSRYxVZkiZUKQEcEZ1UwvczmfnFYvPDRfMBxe9Hiu1bgKNrXr4S2DrG9pV1tkvStFLGKIgAPgXclZkfrtl1HVAdyXAxcG3N9ouK0RCnAY8XTRRfA14WEUuKzreXAV8r9u2OiNOKc11U816SNG2UMRX5DOA3gdsjYn2x7U+ADwBXR8QbgQeAVxf7rgdeAfQATwJvAMjMxyLifcD3i+Pem5mPFY9/H/hHYAHw1eJHkqaVqAwUUHd3d65bt67sYkiaZSLitszsrrfPmXCSVBIDWJJKYgBLUkkMYEkqiQEsSSUxgCWpJAawJJXEAJakkjgRoxAR24D7m3jJMuDRSSrOdDXXrtnrnd2m6nqfkZl1V/sygFsUEetGmt0yW821a/Z6Z7fpcL02QUhSSQxgSSqJAdy6T5RdgBLMtWv2eme30q/XNmBJKok1YEkqiQEsSSUxgFsQEWdHxI8joiciLiu7PK2KiL+PiEci4o6abUdExA0RcU/xe0mxPSLiiuKaN0bEqTWvubg4/p6IuLjeuaaDiDg6Ir4VEXdFxKaIeEuxfVZec0TMj4j/jIgNxfW+p9h+XETcWpT9nyNiXrG9q3jeU+w/tua9/rjY/uOIeHk5V9SYiGiPiB9GxJeL59P3ejPTnyZ+gHbgJ8AzgXnABuCEssvV4rWcCZwK3FGz7XLgsuLxZcAHi8evoHJrpwBOA24tth8B3Fv8XlI8XlL2tY1wvU8HTi0eLwLuBk6YrddclHth8bgTuLW4jquB1xbbPw78fvH4fwAfLx6/Fvjn4vEJxd/zLuC44u9/e9nXN8p1/y/gs8CXi+fT9nqtATfv+UBPZt6bmfuBzwPnl1ymlmTmjcBjQzafD1xZPL4SeFXN9quy4hbg8OLu1S8HbsjMxzJzB3ADcPbkl755mflQZv6geLwbuAtYwSy95qLce4qnncVPAmcBa4vtQ6+3+jmsBV5a3Nj2fODzmdmbmfdRuT/j86fgEpoWESuBVwKfLJ4H0/h6DeDmrQA21zzfUmybLY7Kyp2lKX4/rdg+0nXPyM+j+Lr5HCq1wll7zcXX8fXAI1T+o/gJsDMz+4tDast+4LqK/Y8DS5lB1wv8FbAGGCyeL2UaX68B3Lyos20ujOUb6bpn3OcREQuBa4C3Zuau0Q6ts21GXXNmDmTmamAllVrcz9c7rPg9o683Is4FHsnM22o31zl02lyvAdy8LcDRNc9XAltLKstkeLj4mk3x+5Fi+0jXPaM+j4jopBK+n8nMLxabZ/U1A2TmTuDbVNqAD4+IjmJXbdkPXFexfzGVJqqZcr1nAOdFxE+pNA2eRaVGPG2v1wBu3veB44ue1XlUGu+vK7lME+k6oNqrfzFwbc32i4qRAacBjxdf178GvCwilhSjB15WbJt2iva9TwF3ZeaHa3bNymuOiCMj4vDi8QLgl6i0e38LuLA4bOj1Vj+HC4FvZqVX6jrgtcWogeOA44H/nJqraFxm/nFmrszMY6n8u/xmZr6e6Xy9ZfdYzsQfKr3jd1NpT/vTssszjuv4HPAQ0Eflf/03UmkD+wZwT/H7iOLYAD5aXPPtQHfN+/w2lY6KHuANZV/XKNf7QipfJTcC64ufV8zWawZOBn5YXO8dwDuL7c+kEig9wBeArmL7/OJ5T7H/mTXv9afF5/Bj4Jyyr62Ba38xT42CmLbX61RkSSqJTRCSVBIDWJJKYgBLUkkMYEkqiQEsSSUxgCWpJAawZrSI+NNiqcWNEbE+Il4wief6dkRMyF10I+L3IuKiiXgvzVwdYx8iTU8RcTpwLpUlJnsjYhmVJUKnvcz8eNllUPmsAWsmezrwaGb2AmTmo5m5NSLeGRHfj4g7IuITxRTkag32IxFxY7Eo+/Mi4ovFQt3vL445NiJ+FBFXFrXqtRFxyNATR8TLIuLmiPhBRHyhWOCnroj4QETcWbzfXxTb3h0Rb4uI5UXNvfozEBHPKKYRX1Ncx/cj4oxJ+QRVKgNYM9nXgaMj4u6I+LuI+G/F9r/NzOdl5knAAiq15Kr9mXkmlYW5rwXeBJwE/FZELC2OeTbwicw8GdhFZeHuA4qa9p8Bv5SZpwLrqCwCPkxEHAH8KnBi8X7vr92fmVszc3VWViz7v8A1mXk/8NfARzLzecAFFOvbanaxCUIzVmbuiYjnAi8CXgL8c1RuEbU7ItYAh1C5a8Um4F+Ll1UXTrod2JTFOsARcS+VFbB2Apsz86biuE8Dbwb+oubUp1G5a8JNReV6HnDzCMXcBewDPhkRXwG+XO+goob7O8W1QGXhnBOK9wc4LCIWZWUhec0SBrBmtMwcoLLM4rcj4nbgv1NZhKY7MzdHxLupLLpS1Vv8Hqx5XH1e/fcwdIGUoc+Dyh0xfr2B8vVHxPOBl1JZoesPqCyT+NSbVZbA/BRwXj51B4s24PTM3DvWOTRz2QShGSsinh0Rx9dsWk1l9SqAR4t22QuHv3JMxxQdfAC/DnxvyP5bgDMiYlVRjkMi4lkjlHEhsDgzrwfeWpSxdn8nlXuWXZqZd9fs+jqVsK4ed9DrNDtYA9ZMthD4m2LN234qywpeQqUZ4Xbgp1TWb27WXcDFEfF/qCxR+bHanZm5LSJ+C/hcRHQVm/+MyhKlQy0Cro2I+VRqzv9zyP5fBJ4HvCeKuxZTWSLzzcBHI2IjlX+nNwK/18K1aBpzOUqpRlTuFfflogNPmlQ2QUhSSawBSxMkIv4FOG7I5kszc9rdrkjTgwEsSSWxCUKSSmIAS1JJDGBJKokBLEkl+X/MX6Os/iQNHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size',y=\"Median\",kind='scatter',title='Sample_size vs. Median', figsize=(5,10))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5373f88>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size',y=\"Unemployment_rate\",kind='scatter',title='Sample_size vs. Unemployment_rate', figsize=(5,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x53d6d48>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Full_time',y=\"Median\",kind='scatter',title='Full Time Employment vs. Median Income', figsize=(5,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x8b99788>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='ShareWomen',y=\"Unemployment_rate\",kind='scatter',title='ShareWomen vs. Unemployment_rate', figsize=(5,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x53d6e88>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Men',y=\"Median\",kind='scatter',title='Men vs. Median', figsize=(5,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x9c35288>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Women',y=\"Median\",kind='scatter',title='Women vs. Median', figsize=(5,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Sample size does not have correlation with unemployment or median inccome.\n",
    "- Full time employment has weak correlation with median income.\n",
    "- Share of women has a weak correlation with unemployment rate\n",
    "- No of men or women has no correlation with median income."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograms\n",
    "Instead of creating histograms separately, we will use a loop to create them in 2 rows and 4 columns. We use ```bins=20``` and ```figsize=(14,12)```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x864 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = [\"Sample_size\", \"Median\", \"Employed\", \"Full_time\", \"ShareWomen\", \"Unemployment_rate\", \"Men\", \"Women\"]\n",
    "\n",
    "fig = plt.figure(figsize=(14,12))\n",
    "for r in range(8):\n",
    "    ax = fig.add_subplot(2,4,r+1)\n",
    "    ax = recent_grads[cols[r]].plot(kind='hist',bins=20, rot=40,title=cols[r])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Matrix Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000B349B88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000B06DB48>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000000000B0552C8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000B026CC8>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000AA64AC8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000AA49A88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000AAAF148>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000009E32B48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000A7BF548>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000A7CEF08>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000000000A6BBF08>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000A69D088>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000000A7F7B48>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(10,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Plots\n",
    "We will plot share of women for first and last ten entries followed by share of women in ```Major``` column, and then the``` Unemployment_rate``` for first and last ten columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xde81cc8>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10][\"ShareWomen\"].plot(kind='bar')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdd9dd08>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[-10:][\"ShareWomen\"].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdf99a88>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot.bar(x=\"Major\",y=\"ShareWomen\",legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe035148>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[-10:].plot.bar(x=\"Major\",y=\"ShareWomen\",legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe0a7f08>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10][\"Unemployment_rate\"].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe0a9888>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[-10:][\"Unemployment_rate\"].plot(kind='bar')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}