approvalCorrelation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9d7de4f5",
   "metadata": {},
   "source": [
    "### Merge approval rating data into tidy data csv. Approval data start on 2009-01-21"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfefaef4",
   "metadata": {},
   "source": [
    "<A HREF=\"https://news.gallup.com/poll/116479/barack-obama-presidential-job-approval.aspx\">Gallup Approval Numbers</A><BR>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "ba31af96",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import unicodedata\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import nltk\n",
    "import en_core_web_md\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics.pairwise import euclidean_distances\n",
    "from collections import defaultdict\n",
    "from textblob import TextBlob\n",
    "from nltk.tokenize import TreebankWordTokenizer\n",
    "from nltk.tokenize import sent_tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3a0545c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(418, 5)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "approval = pd.read_csv('./Data/genData/approvalData.csv')\n",
    "approval['beg'] = pd.to_datetime(approval['beg'], format='%Y-%m-%d')\n",
    "approval['end'] = pd.to_datetime(approval['end'], format='%Y-%m-%d')\n",
    "approval.sort_values(by='beg', ignore_index=True, inplace=True)\n",
    "approval.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "44446eeb",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>source</th>\n",
       "      <th>ADJ</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADV</th>\n",
       "      <th>AUX</th>\n",
       "      <th>CCONJ</th>\n",
       "      <th>DET</th>\n",
       "      <th>INTJ</th>\n",
       "      <th>NOUN</th>\n",
       "      <th>...</th>\n",
       "      <th>sadness</th>\n",
       "      <th>surprise</th>\n",
       "      <th>trust</th>\n",
       "      <th>num_sents</th>\n",
       "      <th>num_words</th>\n",
       "      <th>num_unique_words</th>\n",
       "      <th>depth</th>\n",
       "      <th>TBsubjectivity</th>\n",
       "      <th>TBpolarity</th>\n",
       "      <th>words_per_sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008-06-04</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0.064458</td>\n",
       "      <td>0.065088</td>\n",
       "      <td>0.06240</td>\n",
       "      <td>0.064962</td>\n",
       "      <td>0.064416</td>\n",
       "      <td>0.063408</td>\n",
       "      <td>0.055598</td>\n",
       "      <td>0.064920</td>\n",
       "      <td>...</td>\n",
       "      <td>0.075630</td>\n",
       "      <td>0.046218</td>\n",
       "      <td>0.130252</td>\n",
       "      <td>47</td>\n",
       "      <td>1459</td>\n",
       "      <td>620</td>\n",
       "      <td>7.276596</td>\n",
       "      <td>0.406976</td>\n",
       "      <td>0.135880</td>\n",
       "      <td>31.042553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-06-04</td>\n",
       "      <td>oba</td>\n",
       "      <td>0.064649</td>\n",
       "      <td>0.064670</td>\n",
       "      <td>0.06444</td>\n",
       "      <td>0.064398</td>\n",
       "      <td>0.064471</td>\n",
       "      <td>0.064638</td>\n",
       "      <td>0.054967</td>\n",
       "      <td>0.064503</td>\n",
       "      <td>...</td>\n",
       "      <td>0.042017</td>\n",
       "      <td>0.048739</td>\n",
       "      <td>0.159664</td>\n",
       "      <td>217</td>\n",
       "      <td>5856</td>\n",
       "      <td>939</td>\n",
       "      <td>5.986175</td>\n",
       "      <td>0.445383</td>\n",
       "      <td>0.167408</td>\n",
       "      <td>26.986175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        date source       ADJ       ADP      ADV       AUX     CCONJ  \\\n",
       "0 2008-06-04    nyt  0.064458  0.065088  0.06240  0.064962  0.064416   \n",
       "1 2008-06-04    oba  0.064649  0.064670  0.06444  0.064398  0.064471   \n",
       "\n",
       "        DET      INTJ      NOUN  ...   sadness  surprise     trust  num_sents  \\\n",
       "0  0.063408  0.055598  0.064920  ...  0.075630  0.046218  0.130252         47   \n",
       "1  0.064638  0.054967  0.064503  ...  0.042017  0.048739  0.159664        217   \n",
       "\n",
       "   num_words  num_unique_words     depth  TBsubjectivity TBpolarity  \\\n",
       "0       1459               620  7.276596        0.406976   0.135880   \n",
       "1       5856               939  5.986175        0.445383   0.167408   \n",
       "\n",
       "   words_per_sentence  \n",
       "0           31.042553  \n",
       "1           26.986175  \n",
       "\n",
       "[2 rows x 38 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tidy_data = pd.read_csv('./Data/genData/tidy_data.csv')\n",
    "tidy_data['date'] = pd.to_datetime(tidy_data['date'], format='%Y-%m-%d')\n",
    "tidy_data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "5ef986eb",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>end</th>\n",
       "      <th>approval</th>\n",
       "      <th>disapproval</th>\n",
       "      <th>no opinon</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2009-01-21</th>\n",
       "      <td>2009-01-25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
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       "    <tr>\n",
       "      <th>2009-01-22</th>\n",
       "      <td>2009-01-25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
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       "    <tr>\n",
       "      <th>2009-01-23</th>\n",
       "      <td>2009-01-25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
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       "    <tr>\n",
       "      <th>2009-01-24</th>\n",
       "      <td>2009-01-25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
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       "    <tr>\n",
       "      <th>2009-01-25</th>\n",
       "      <td>2009-01-25</td>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-26</th>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-27</th>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-28</th>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-29</th>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-30</th>\n",
       "      <td>2009-02-01</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  end  approval  disapproval  no opinon\n",
       "2009-01-21 2009-01-25      67.0         13.0       22.0\n",
       "2009-01-22 2009-01-25      67.0         13.0       22.0\n",
       "2009-01-23 2009-01-25      67.0         13.0       22.0\n",
       "2009-01-24 2009-01-25      67.0         13.0       22.0\n",
       "2009-01-25 2009-01-25      67.0         13.0       22.0\n",
       "2009-01-26 2009-02-01      66.0         18.0       17.0\n",
       "2009-01-27 2009-02-01      66.0         18.0       17.0\n",
       "2009-01-28 2009-02-01      66.0         18.0       17.0\n",
       "2009-01-29 2009-02-01      66.0         18.0       17.0\n",
       "2009-01-30 2009-02-01      66.0         18.0       17.0"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make an index of all dates in approval data range\n",
    "idx = pd.date_range('2009-01-21', '2017-01-19')\n",
    "# copy approval data to new df and use beg date for index\n",
    "app = approval.set_index('beg')\n",
    "# reindex using all dates and forward fill missing data\n",
    "app = app.reindex(idx).ffill()\n",
    "app.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "c0a55408",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>approval</th>\n",
       "      <th>disapproval</th>\n",
       "      <th>no opinon</th>\n",
       "      <th>date</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2009-01-21</th>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2009-01-21</td>\n",
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       "      <td>67.0</td>\n",
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       "      <td>22.0</td>\n",
       "      <td>2009-01-22</td>\n",
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       "      <th>2009-01-23</th>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
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       "      <td>2009-01-23</td>\n",
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       "      <th>2009-01-24</th>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
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       "      <td>2009-01-24</td>\n",
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       "    <tr>\n",
       "      <th>2009-01-25</th>\n",
       "      <td>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2009-01-25</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-15</th>\n",
       "      <td>57.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2017-01-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-16</th>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2017-01-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-17</th>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2017-01-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-18</th>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2017-01-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-19</th>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2017-01-19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2921 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            approval  disapproval  no opinon       date\n",
       "2009-01-21      67.0         13.0       22.0 2009-01-21\n",
       "2009-01-22      67.0         13.0       22.0 2009-01-22\n",
       "2009-01-23      67.0         13.0       22.0 2009-01-23\n",
       "2009-01-24      67.0         13.0       22.0 2009-01-24\n",
       "2009-01-25      67.0         13.0       22.0 2009-01-25\n",
       "...              ...          ...        ...        ...\n",
       "2017-01-15      57.0         39.0        4.0 2017-01-15\n",
       "2017-01-16      59.0         37.0        4.0 2017-01-16\n",
       "2017-01-17      59.0         37.0        4.0 2017-01-17\n",
       "2017-01-18      59.0         37.0        4.0 2017-01-18\n",
       "2017-01-19      59.0         37.0        4.0 2017-01-19\n",
       "\n",
       "[2921 rows x 4 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# make new date column which is a copy of the index\n",
    "app['date'] = app.index\n",
    "# drop the end row\n",
    "app = app.drop('end', axis=1)\n",
    "app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "cce5f452",
   "metadata": {},
   "outputs": [
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       "      <th>TBsubjectivity</th>\n",
       "      <th>TBpolarity</th>\n",
       "      <th>words_per_sentence</th>\n",
       "      <th>approval</th>\n",
       "      <th>disapproval</th>\n",
       "      <th>no opinon</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2009-04-02</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0.069702</td>\n",
       "      <td>0.070678</td>\n",
       "      <td>0.070569</td>\n",
       "      <td>0.069539</td>\n",
       "      <td>0.066883</td>\n",
       "      <td>0.070136</td>\n",
       "      <td>0.021192</td>\n",
       "      <td>0.070732</td>\n",
       "      <td>...</td>\n",
       "      <td>46</td>\n",
       "      <td>1256</td>\n",
       "      <td>561</td>\n",
       "      <td>6.260870</td>\n",
       "      <td>0.357102</td>\n",
       "      <td>0.067402</td>\n",
       "      <td>27.304348</td>\n",
       "      <td>62.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2009-04-02</td>\n",
       "      <td>oba</td>\n",
       "      <td>0.069923</td>\n",
       "      <td>0.070734</td>\n",
       "      <td>0.070779</td>\n",
       "      <td>0.070644</td>\n",
       "      <td>0.070284</td>\n",
       "      <td>0.070509</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.070554</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>1491</td>\n",
       "      <td>642</td>\n",
       "      <td>5.328947</td>\n",
       "      <td>0.422101</td>\n",
       "      <td>0.098396</td>\n",
       "      <td>19.618421</td>\n",
       "      <td>62.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2009-04-02</td>\n",
       "      <td>wsj</td>\n",
       "      <td>0.071057</td>\n",
       "      <td>0.071814</td>\n",
       "      <td>0.067367</td>\n",
       "      <td>0.066373</td>\n",
       "      <td>0.071672</td>\n",
       "      <td>0.071719</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071530</td>\n",
       "      <td>...</td>\n",
       "      <td>62</td>\n",
       "      <td>1420</td>\n",
       "      <td>632</td>\n",
       "      <td>5.951613</td>\n",
       "      <td>0.296947</td>\n",
       "      <td>0.057422</td>\n",
       "      <td>22.903226</td>\n",
       "      <td>62.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2009-04-15</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0.069284</td>\n",
       "      <td>0.067063</td>\n",
       "      <td>0.070365</td>\n",
       "      <td>0.070545</td>\n",
       "      <td>0.068624</td>\n",
       "      <td>0.069224</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.070605</td>\n",
       "      <td>...</td>\n",
       "      <td>39</td>\n",
       "      <td>1128</td>\n",
       "      <td>538</td>\n",
       "      <td>6.846154</td>\n",
       "      <td>0.404185</td>\n",
       "      <td>0.087420</td>\n",
       "      <td>28.923077</td>\n",
       "      <td>62.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2009-04-15</td>\n",
       "      <td>oba</td>\n",
       "      <td>0.064179</td>\n",
       "      <td>0.064196</td>\n",
       "      <td>0.063894</td>\n",
       "      <td>0.064032</td>\n",
       "      <td>0.063980</td>\n",
       "      <td>0.064170</td>\n",
       "      <td>0.053538</td>\n",
       "      <td>0.064075</td>\n",
       "      <td>...</td>\n",
       "      <td>283</td>\n",
       "      <td>7027</td>\n",
       "      <td>1735</td>\n",
       "      <td>5.908127</td>\n",
       "      <td>0.430164</td>\n",
       "      <td>0.090057</td>\n",
       "      <td>24.830389</td>\n",
       "      <td>62.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>9.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>2016-11-09</td>\n",
       "      <td>oba</td>\n",
       "      <td>0.069479</td>\n",
       "      <td>0.069178</td>\n",
       "      <td>0.069730</td>\n",
       "      <td>0.069078</td>\n",
       "      <td>0.068376</td>\n",
       "      <td>0.069429</td>\n",
       "      <td>0.042841</td>\n",
       "      <td>0.069329</td>\n",
       "      <td>...</td>\n",
       "      <td>79</td>\n",
       "      <td>1303</td>\n",
       "      <td>470</td>\n",
       "      <td>4.392405</td>\n",
       "      <td>0.490976</td>\n",
       "      <td>0.237315</td>\n",
       "      <td>16.493671</td>\n",
       "      <td>57.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2016-11-09</td>\n",
       "      <td>wsj</td>\n",
       "      <td>0.069166</td>\n",
       "      <td>0.068667</td>\n",
       "      <td>0.068939</td>\n",
       "      <td>0.068576</td>\n",
       "      <td>0.068078</td>\n",
       "      <td>0.069120</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.069211</td>\n",
       "      <td>...</td>\n",
       "      <td>61</td>\n",
       "      <td>1446</td>\n",
       "      <td>623</td>\n",
       "      <td>6.098361</td>\n",
       "      <td>0.397283</td>\n",
       "      <td>0.114535</td>\n",
       "      <td>23.704918</td>\n",
       "      <td>57.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0.068761</td>\n",
       "      <td>0.069864</td>\n",
       "      <td>0.067920</td>\n",
       "      <td>0.065872</td>\n",
       "      <td>0.069811</td>\n",
       "      <td>0.069916</td>\n",
       "      <td>0.041708</td>\n",
       "      <td>0.070074</td>\n",
       "      <td>...</td>\n",
       "      <td>53</td>\n",
       "      <td>1275</td>\n",
       "      <td>558</td>\n",
       "      <td>5.679245</td>\n",
       "      <td>0.454084</td>\n",
       "      <td>0.178910</td>\n",
       "      <td>24.056604</td>\n",
       "      <td>57.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>oba</td>\n",
       "      <td>0.066897</td>\n",
       "      <td>0.066921</td>\n",
       "      <td>0.066529</td>\n",
       "      <td>0.066823</td>\n",
       "      <td>0.066811</td>\n",
       "      <td>0.066885</td>\n",
       "      <td>0.066676</td>\n",
       "      <td>0.066493</td>\n",
       "      <td>...</td>\n",
       "      <td>231</td>\n",
       "      <td>5143</td>\n",
       "      <td>1592</td>\n",
       "      <td>4.900433</td>\n",
       "      <td>0.500204</td>\n",
       "      <td>0.182039</td>\n",
       "      <td>22.264069</td>\n",
       "      <td>57.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>wsj</td>\n",
       "      <td>0.072179</td>\n",
       "      <td>0.071380</td>\n",
       "      <td>0.071494</td>\n",
       "      <td>0.069095</td>\n",
       "      <td>0.071037</td>\n",
       "      <td>0.071608</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.072293</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>608</td>\n",
       "      <td>325</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>0.402340</td>\n",
       "      <td>0.126560</td>\n",
       "      <td>30.400000</td>\n",
       "      <td>57.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date source       ADJ       ADP       ADV       AUX     CCONJ  \\\n",
       "12  2009-04-02    nyt  0.069702  0.070678  0.070569  0.069539  0.066883   \n",
       "13  2009-04-02    oba  0.069923  0.070734  0.070779  0.070644  0.070284   \n",
       "14  2009-04-02    wsj  0.071057  0.071814  0.067367  0.066373  0.071672   \n",
       "15  2009-04-15    nyt  0.069284  0.067063  0.070365  0.070545  0.068624   \n",
       "16  2009-04-15    oba  0.064179  0.064196  0.063894  0.064032  0.063980   \n",
       "..         ...    ...       ...       ...       ...       ...       ...   \n",
       "295 2016-11-09    oba  0.069479  0.069178  0.069730  0.069078  0.068376   \n",
       "296 2016-11-09    wsj  0.069166  0.068667  0.068939  0.068576  0.068078   \n",
       "297 2017-01-11    nyt  0.068761  0.069864  0.067920  0.065872  0.069811   \n",
       "298 2017-01-11    oba  0.066897  0.066921  0.066529  0.066823  0.066811   \n",
       "299 2017-01-11    wsj  0.072179  0.071380  0.071494  0.069095  0.071037   \n",
       "\n",
       "          DET      INTJ      NOUN  ...  num_sents  num_words  \\\n",
       "12   0.070136  0.021192  0.070732  ...         46       1256   \n",
       "13   0.070509  0.000000  0.070554  ...         76       1491   \n",
       "14   0.071719  0.000000  0.071530  ...         62       1420   \n",
       "15   0.069224  0.000000  0.070605  ...         39       1128   \n",
       "16   0.064170  0.053538  0.064075  ...        283       7027   \n",
       "..        ...       ...       ...  ...        ...        ...   \n",
       "295  0.069429  0.042841  0.069329  ...         79       1303   \n",
       "296  0.069120  0.000000  0.069211  ...         61       1446   \n",
       "297  0.069916  0.041708  0.070074  ...         53       1275   \n",
       "298  0.066885  0.066676  0.066493  ...        231       5143   \n",
       "299  0.071608  0.000000  0.072293  ...         20        608   \n",
       "\n",
       "     num_unique_words     depth  TBsubjectivity  TBpolarity  \\\n",
       "12                561  6.260870        0.357102    0.067402   \n",
       "13                642  5.328947        0.422101    0.098396   \n",
       "14                632  5.951613        0.296947    0.057422   \n",
       "15                538  6.846154        0.404185    0.087420   \n",
       "16               1735  5.908127        0.430164    0.090057   \n",
       "..                ...       ...             ...         ...   \n",
       "295               470  4.392405        0.490976    0.237315   \n",
       "296               623  6.098361        0.397283    0.114535   \n",
       "297               558  5.679245        0.454084    0.178910   \n",
       "298              1592  4.900433        0.500204    0.182039   \n",
       "299               325  7.300000        0.402340    0.126560   \n",
       "\n",
       "     words_per_sentence  approval disapproval  no opinon  \n",
       "12            27.304348      62.0        28.0       10.0  \n",
       "13            19.618421      62.0        28.0       10.0  \n",
       "14            22.903226      62.0        28.0       10.0  \n",
       "15            28.923077      62.0        29.0        9.0  \n",
       "16            24.830389      62.0        29.0        9.0  \n",
       "..                  ...       ...         ...        ...  \n",
       "295           16.493671      57.0        41.0        3.0  \n",
       "296           23.704918      57.0        41.0        3.0  \n",
       "297           24.056604      57.0        39.0        4.0  \n",
       "298           22.264069      57.0        39.0        4.0  \n",
       "299           30.400000      57.0        39.0        4.0  \n",
       "\n",
       "[288 rows x 41 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge tidy_data and approval data\n",
    "new = pd.merge(tidy_data, app, on='date',how='left')\n",
    "# drop the rows with NaNs, before 2009-01-21, when approval data starts\n",
    "new = new.dropna()\n",
    "new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5d25b58e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save data\n",
    "# new.to_csv('./Data/genData/tidy_data_approval.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e07efb57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ADJ                   0.012558\n",
       "ADP                   0.041829\n",
       "ADV                  -0.040080\n",
       "AUX                  -0.032651\n",
       "CCONJ                 0.055880\n",
       "DET                   0.042971\n",
       "INTJ                 -0.058567\n",
       "NOUN                  0.044863\n",
       "NUM                   0.009160\n",
       "PART                 -0.004145\n",
       "PRON                  0.018160\n",
       "PROPN                -0.058026\n",
       "PUNCT                 0.043187\n",
       "SCONJ                -0.095271\n",
       "SYM                   0.059188\n",
       "VERB                  0.039351\n",
       "PCA1                  0.001198\n",
       "PCA2                  0.097942\n",
       "anger                 0.029574\n",
       "anticipation         -0.040887\n",
       "disgust               0.063164\n",
       "fear                 -0.022048\n",
       "joy                  -0.026764\n",
       "negative              0.001365\n",
       "positive             -0.023861\n",
       "sadness               0.042273\n",
       "surprise              0.105901\n",
       "trust                -0.006237\n",
       "num_sents             0.051250\n",
       "num_words             0.034043\n",
       "num_unique_words      0.006119\n",
       "depth                -0.096575\n",
       "TBsubjectivity       -0.026014\n",
       "TBpolarity           -0.018659\n",
       "words_per_sentence   -0.062008\n",
       "approval              1.000000\n",
       "disapproval          -0.935156\n",
       "no opinon            -0.088144\n",
       "Name: approval, dtype: float64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Very little correlation between approval and anything else (except for disapproval)\n",
    "new.corr(numeric_only=True)['approval']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29fcc3db",
   "metadata": {},
   "source": [
    "<A HREF=\"https://plotly.com/python/plotly-express/\">Plotly Express</A>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "bd56d447",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
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   "source": [
    "# \"Do you approve or disapprove of the way Barack Obama is handling his job as president?\"\n",
    "fig = px.line(approval, \n",
    "             x=\"beg\", \n",
    "             y=\"approval\", \n",
    "             hover_name=\"approval\",\n",
    "             hover_data={'approval':':.3f'},\n",
    "             title = 'Percent of polled Americans who approve of Barack Obama')\n",
    "fig.show()"
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  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "9316d6a3",
   "metadata": {},
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   "source": [
    "# \"Do you approve or disapprove of the way Barack Obama is handling his job as president?\"\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=approval['beg'], y=approval['approval'],\n",
    "                    mode='lines',\n",
    "                    name='approval'))\n",
    "fig.add_trace(go.Scatter(x=approval['beg'], y=approval['disapproval'],\n",
    "                    mode='lines',\n",
    "                    name='disapproval'))\n",
    "fig.update_layout(title='Gallup Poll Obama Presidential Approval Rating',\n",
    "                   xaxis_title='Date',\n",
    "                   yaxis_title='Percent')\n",
    "fig.show()"
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