progress_report_part3b.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Progress Report #3.5: [Blog-Sentiment Analysis](https://github.com/Data-Science-for-Linguists-2019/Blog-Sentiment-Analysis)\n",
    "\n",
    "This is the second part of __[Progress Report #3](https://github.com/Data-Science-for-Linguists-2019/Blog-Sentiment-Analysis/blob/master/progress_report_part3b.ipynb)__. I am switching Jupyter notebooks so I can do some math stuff in R. Most of this code is stolen from my Statistics Research in Linguistics professor, Dr. Melinda Fricke, and our class textbook *How to do Linguistics with R* by Dr. Natalia Levshina. \n",
    "\n",
    "# Loading the data again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: carData\n"
     ]
    }
   ],
   "source": [
    "# If you are trying to reproduce this - the Anaconda version of R does not come with lme4 and car installed\n",
    "# install.packages(\"package\") wasn't working for me so I used Anaconda-Navigator to install\n",
    "library(ggplot2)\n",
    "library(lme4)\n",
    "library(car)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = '/users/eva/Documents/Data_Science/Blog-Sentiment-Analysis/blog_sentiment_data.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "blogdata <- read.csv(file=filename, header=TRUE, sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>681284</li>\n",
       "\t<li>11</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 681284\n",
       "\\item 11\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 681284\n",
       "2. 11\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 681284     11"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim(blogdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "       X                id             gender            age       \n",
       " Min.   :     0   Min.   :   5114   female:336091   Min.   :13.00  \n",
       " 1st Qu.:170321   1st Qu.:1239610   male  :345193   1st Qu.:17.00  \n",
       " Median :340642   Median :2607577                   Median :24.00  \n",
       " Mean   :340642   Mean   :2397802                   Mean   :23.93  \n",
       " 3rd Qu.:510962   3rd Qu.:3525660                   3rd Qu.:26.00  \n",
       " Max.   :681283   Max.   :4337650                   Max.   :48.00  \n",
       "                                                                   \n",
       "                 industry           sign                    date       \n",
       " indUnk              :251015   Cancer : 65048   02,August,2004: 16544  \n",
       " Student             :153903   Aries  : 64979   01,August,2004: 13261  \n",
       " Technology          : 42055   Taurus : 62561   03,August,2004: 11851  \n",
       " Arts                : 32449   Libra  : 62363   05,August,2004:  9297  \n",
       " Education           : 29633   Virgo  : 60399   04,August,2004:  8661  \n",
       " Communications-Media: 20140   Scorpio: 57161   09,August,2004:  7818  \n",
       " (Other)             :152089   (Other):308773   (Other)       :613852  \n",
       "                     text           sentiment     \n",
       "          urlLink      :   445   negative:121508  \n",
       "                       :   395   neutral :188811  \n",
       "                       :   338   positive:370965  \n",
       "                       :   310                    \n",
       "                       :   271                    \n",
       "                       :   255                    \n",
       " (Other)               :679270                    \n",
       "                                                                                                                                tokens      \n",
       " []                                                                                                                                :  6158  \n",
       " ['brought', 'jpservicez', 'com', 'smart', 'bargain', 'shopping', 'please', 'click', 'title', 'take', 'promotions', 'site', 'feed']:   153  \n",
       " ['test']                                                                                                                          :   127  \n",
       " ['sylvain', '40th', 'birthday', 'may', '2004']                                                                                    :    82  \n",
       " ['temple']                                                                                                                        :    71  \n",
       " ['testing']                                                                                                                       :    67  \n",
       " (Other)                                                                                                                           :674626  \n",
       " polarity_score   \n",
       " Min.   :-1.0000  \n",
       " 1st Qu.:-0.0374  \n",
       " Median : 0.6239  \n",
       " Mean   : 0.3416  \n",
       " 3rd Qu.: 0.9456  \n",
       " Max.   : 1.0000  \n",
       "                  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(blogdata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like everything loaded in correctly. (Note: `head(blogdata)` looks like a mess.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis questions\n",
    "Now that I have the polarity scores, I would like to investigate potential correlations between polarity score and industry, age, or gender. I also want to see if it's possible to predict polarity score using demographic information (hypothesis: no, but I think it's worth investigating). I realize that since I'm not dropping duplicate blogs and finding the mean for that blogger, that effects my results, but I'm going to disregard that since I don't have a ton of time. I have 3 main aims for this analysis:\n",
    "\n",
    "+ Reveal potential relationships in the data using tables and graphs\n",
    "+ Investigate correlations\n",
    "+ Create a mixed effects regression model in order to discover if any of the demographic info is a significant predictor for polarity\n",
    "\n",
    "Full disclosure, I learned how to create a mixed effects regression model yesterday. Hopefully I'm doing everything correctly.\n",
    "\n",
    "### Looking for relationships in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>industry</th><th scope=col>polarity_score</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Accounting             </td><td>0.4645508              </td></tr>\n",
       "\t<tr><td>Advertising            </td><td>0.3727675              </td></tr>\n",
       "\t<tr><td>Agriculture            </td><td>0.3754881              </td></tr>\n",
       "\t<tr><td>Architecture           </td><td>0.3044571              </td></tr>\n",
       "\t<tr><td>Arts                   </td><td>0.3376918              </td></tr>\n",
       "\t<tr><td>Automotive             </td><td>0.2363101              </td></tr>\n",
       "\t<tr><td>Banking                </td><td>0.2816877              </td></tr>\n",
       "\t<tr><td>Biotech                </td><td>0.3018659              </td></tr>\n",
       "\t<tr><td>BusinessServices       </td><td>0.3540992              </td></tr>\n",
       "\t<tr><td>Chemicals              </td><td>0.2320878              </td></tr>\n",
       "\t<tr><td>Communications-Media   </td><td>0.3417404              </td></tr>\n",
       "\t<tr><td>Construction           </td><td>0.3419536              </td></tr>\n",
       "\t<tr><td>Consulting             </td><td>0.3559128              </td></tr>\n",
       "\t<tr><td>Education              </td><td>0.3951221              </td></tr>\n",
       "\t<tr><td>Engineering            </td><td>0.3853562              </td></tr>\n",
       "\t<tr><td>Environment            </td><td>0.3516191              </td></tr>\n",
       "\t<tr><td>Fashion                </td><td>0.3355025              </td></tr>\n",
       "\t<tr><td>Government             </td><td>0.3519451              </td></tr>\n",
       "\t<tr><td>HumanResources         </td><td>0.3157235              </td></tr>\n",
       "\t<tr><td>indUnk                 </td><td>0.3356669              </td></tr>\n",
       "\t<tr><td>Internet               </td><td>0.3222351              </td></tr>\n",
       "\t<tr><td>InvestmentBanking      </td><td>0.3097913              </td></tr>\n",
       "\t<tr><td>Law                    </td><td>0.2672299              </td></tr>\n",
       "\t<tr><td>LawEnforcement-Security</td><td>0.3764333              </td></tr>\n",
       "\t<tr><td>Manufacturing          </td><td>0.3712059              </td></tr>\n",
       "\t<tr><td>Maritime               </td><td>0.2165286              </td></tr>\n",
       "\t<tr><td>Marketing              </td><td>0.4364595              </td></tr>\n",
       "\t<tr><td>Military               </td><td>0.2766361              </td></tr>\n",
       "\t<tr><td>Museums-Libraries      </td><td>0.4259154              </td></tr>\n",
       "\t<tr><td>Non-Profit             </td><td>0.3444127              </td></tr>\n",
       "\t<tr><td>Publishing             </td><td>0.3320791              </td></tr>\n",
       "\t<tr><td>RealEstate             </td><td>0.4533177              </td></tr>\n",
       "\t<tr><td>Religion               </td><td>0.4443823              </td></tr>\n",
       "\t<tr><td>Science                </td><td>0.3727429              </td></tr>\n",
       "\t<tr><td>Sports-Recreation      </td><td>0.3547811              </td></tr>\n",
       "\t<tr><td>Student                </td><td>0.3352763              </td></tr>\n",
       "\t<tr><td>Technology             </td><td>0.3335704              </td></tr>\n",
       "\t<tr><td>Telecommunications     </td><td>0.3653331              </td></tr>\n",
       "\t<tr><td>Tourism                </td><td>0.3530035              </td></tr>\n",
       "\t<tr><td>Transportation         </td><td>0.4227209              </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " industry & polarity\\_score\\\\\n",
       "\\hline\n",
       "\t Accounting              & 0.4645508              \\\\\n",
       "\t Advertising             & 0.3727675              \\\\\n",
       "\t Agriculture             & 0.3754881              \\\\\n",
       "\t Architecture            & 0.3044571              \\\\\n",
       "\t Arts                    & 0.3376918              \\\\\n",
       "\t Automotive              & 0.2363101              \\\\\n",
       "\t Banking                 & 0.2816877              \\\\\n",
       "\t Biotech                 & 0.3018659              \\\\\n",
       "\t BusinessServices        & 0.3540992              \\\\\n",
       "\t Chemicals               & 0.2320878              \\\\\n",
       "\t Communications-Media    & 0.3417404              \\\\\n",
       "\t Construction            & 0.3419536              \\\\\n",
       "\t Consulting              & 0.3559128              \\\\\n",
       "\t Education               & 0.3951221              \\\\\n",
       "\t Engineering             & 0.3853562              \\\\\n",
       "\t Environment             & 0.3516191              \\\\\n",
       "\t Fashion                 & 0.3355025              \\\\\n",
       "\t Government              & 0.3519451              \\\\\n",
       "\t HumanResources          & 0.3157235              \\\\\n",
       "\t indUnk                  & 0.3356669              \\\\\n",
       "\t Internet                & 0.3222351              \\\\\n",
       "\t InvestmentBanking       & 0.3097913              \\\\\n",
       "\t Law                     & 0.2672299              \\\\\n",
       "\t LawEnforcement-Security & 0.3764333              \\\\\n",
       "\t Manufacturing           & 0.3712059              \\\\\n",
       "\t Maritime                & 0.2165286              \\\\\n",
       "\t Marketing               & 0.4364595              \\\\\n",
       "\t Military                & 0.2766361              \\\\\n",
       "\t Museums-Libraries       & 0.4259154              \\\\\n",
       "\t Non-Profit              & 0.3444127              \\\\\n",
       "\t Publishing              & 0.3320791              \\\\\n",
       "\t RealEstate              & 0.4533177              \\\\\n",
       "\t Religion                & 0.4443823              \\\\\n",
       "\t Science                 & 0.3727429              \\\\\n",
       "\t Sports-Recreation       & 0.3547811              \\\\\n",
       "\t Student                 & 0.3352763              \\\\\n",
       "\t Technology              & 0.3335704              \\\\\n",
       "\t Telecommunications      & 0.3653331              \\\\\n",
       "\t Tourism                 & 0.3530035              \\\\\n",
       "\t Transportation          & 0.4227209              \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "industry | polarity_score | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Accounting              | 0.4645508               | \n",
       "| Advertising             | 0.3727675               | \n",
       "| Agriculture             | 0.3754881               | \n",
       "| Architecture            | 0.3044571               | \n",
       "| Arts                    | 0.3376918               | \n",
       "| Automotive              | 0.2363101               | \n",
       "| Banking                 | 0.2816877               | \n",
       "| Biotech                 | 0.3018659               | \n",
       "| BusinessServices        | 0.3540992               | \n",
       "| Chemicals               | 0.2320878               | \n",
       "| Communications-Media    | 0.3417404               | \n",
       "| Construction            | 0.3419536               | \n",
       "| Consulting              | 0.3559128               | \n",
       "| Education               | 0.3951221               | \n",
       "| Engineering             | 0.3853562               | \n",
       "| Environment             | 0.3516191               | \n",
       "| Fashion                 | 0.3355025               | \n",
       "| Government              | 0.3519451               | \n",
       "| HumanResources          | 0.3157235               | \n",
       "| indUnk                  | 0.3356669               | \n",
       "| Internet                | 0.3222351               | \n",
       "| InvestmentBanking       | 0.3097913               | \n",
       "| Law                     | 0.2672299               | \n",
       "| LawEnforcement-Security | 0.3764333               | \n",
       "| Manufacturing           | 0.3712059               | \n",
       "| Maritime                | 0.2165286               | \n",
       "| Marketing               | 0.4364595               | \n",
       "| Military                | 0.2766361               | \n",
       "| Museums-Libraries       | 0.4259154               | \n",
       "| Non-Profit              | 0.3444127               | \n",
       "| Publishing              | 0.3320791               | \n",
       "| RealEstate              | 0.4533177               | \n",
       "| Religion                | 0.4443823               | \n",
       "| Science                 | 0.3727429               | \n",
       "| Sports-Recreation       | 0.3547811               | \n",
       "| Student                 | 0.3352763               | \n",
       "| Technology              | 0.3335704               | \n",
       "| Telecommunications      | 0.3653331               | \n",
       "| Tourism                 | 0.3530035               | \n",
       "| Transportation          | 0.4227209               | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   industry                polarity_score\n",
       "1  Accounting              0.4645508     \n",
       "2  Advertising             0.3727675     \n",
       "3  Agriculture             0.3754881     \n",
       "4  Architecture            0.3044571     \n",
       "5  Arts                    0.3376918     \n",
       "6  Automotive              0.2363101     \n",
       "7  Banking                 0.2816877     \n",
       "8  Biotech                 0.3018659     \n",
       "9  BusinessServices        0.3540992     \n",
       "10 Chemicals               0.2320878     \n",
       "11 Communications-Media    0.3417404     \n",
       "12 Construction            0.3419536     \n",
       "13 Consulting              0.3559128     \n",
       "14 Education               0.3951221     \n",
       "15 Engineering             0.3853562     \n",
       "16 Environment             0.3516191     \n",
       "17 Fashion                 0.3355025     \n",
       "18 Government              0.3519451     \n",
       "19 HumanResources          0.3157235     \n",
       "20 indUnk                  0.3356669     \n",
       "21 Internet                0.3222351     \n",
       "22 InvestmentBanking       0.3097913     \n",
       "23 Law                     0.2672299     \n",
       "24 LawEnforcement-Security 0.3764333     \n",
       "25 Manufacturing           0.3712059     \n",
       "26 Maritime                0.2165286     \n",
       "27 Marketing               0.4364595     \n",
       "28 Military                0.2766361     \n",
       "29 Museums-Libraries       0.4259154     \n",
       "30 Non-Profit              0.3444127     \n",
       "31 Publishing              0.3320791     \n",
       "32 RealEstate              0.4533177     \n",
       "33 Religion                0.4443823     \n",
       "34 Science                 0.3727429     \n",
       "35 Sports-Recreation       0.3547811     \n",
       "36 Student                 0.3352763     \n",
       "37 Technology              0.3335704     \n",
       "38 Telecommunications      0.3653331     \n",
       "39 Tourism                 0.3530035     \n",
       "40 Transportation          0.4227209     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregate(polarity_score ~ industry, data=blogdata, mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Polarity scores across industry don't seem to vary substantially."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>age</th><th scope=col>polarity_score</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>13       </td><td>0.2837880</td></tr>\n",
       "\t<tr><td>14       </td><td>0.3135089</td></tr>\n",
       "\t<tr><td>15       </td><td>0.3238808</td></tr>\n",
       "\t<tr><td>16       </td><td>0.3219215</td></tr>\n",
       "\t<tr><td>17       </td><td>0.3485861</td></tr>\n",
       "\t<tr><td>23       </td><td>0.3662989</td></tr>\n",
       "\t<tr><td>24       </td><td>0.3473385</td></tr>\n",
       "\t<tr><td>25       </td><td>0.3465799</td></tr>\n",
       "\t<tr><td>26       </td><td>0.3553429</td></tr>\n",
       "\t<tr><td>27       </td><td>0.3402514</td></tr>\n",
       "\t<tr><td>33       </td><td>0.3792355</td></tr>\n",
       "\t<tr><td>34       </td><td>0.3546283</td></tr>\n",
       "\t<tr><td>35       </td><td>0.3243976</td></tr>\n",
       "\t<tr><td>36       </td><td>0.3385855</td></tr>\n",
       "\t<tr><td>37       </td><td>0.3873315</td></tr>\n",
       "\t<tr><td>38       </td><td>0.3154596</td></tr>\n",
       "\t<tr><td>39       </td><td>0.3448602</td></tr>\n",
       "\t<tr><td>40       </td><td>0.1752435</td></tr>\n",
       "\t<tr><td>41       </td><td>0.3710151</td></tr>\n",
       "\t<tr><td>42       </td><td>0.2327931</td></tr>\n",
       "\t<tr><td>43       </td><td>0.2642008</td></tr>\n",
       "\t<tr><td>44       </td><td>0.1976421</td></tr>\n",
       "\t<tr><td>45       </td><td>0.3453472</td></tr>\n",
       "\t<tr><td>46       </td><td>0.4951565</td></tr>\n",
       "\t<tr><td>47       </td><td>0.3194266</td></tr>\n",
       "\t<tr><td>48       </td><td>0.4095340</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " age & polarity\\_score\\\\\n",
       "\\hline\n",
       "\t 13        & 0.2837880\\\\\n",
       "\t 14        & 0.3135089\\\\\n",
       "\t 15        & 0.3238808\\\\\n",
       "\t 16        & 0.3219215\\\\\n",
       "\t 17        & 0.3485861\\\\\n",
       "\t 23        & 0.3662989\\\\\n",
       "\t 24        & 0.3473385\\\\\n",
       "\t 25        & 0.3465799\\\\\n",
       "\t 26        & 0.3553429\\\\\n",
       "\t 27        & 0.3402514\\\\\n",
       "\t 33        & 0.3792355\\\\\n",
       "\t 34        & 0.3546283\\\\\n",
       "\t 35        & 0.3243976\\\\\n",
       "\t 36        & 0.3385855\\\\\n",
       "\t 37        & 0.3873315\\\\\n",
       "\t 38        & 0.3154596\\\\\n",
       "\t 39        & 0.3448602\\\\\n",
       "\t 40        & 0.1752435\\\\\n",
       "\t 41        & 0.3710151\\\\\n",
       "\t 42        & 0.2327931\\\\\n",
       "\t 43        & 0.2642008\\\\\n",
       "\t 44        & 0.1976421\\\\\n",
       "\t 45        & 0.3453472\\\\\n",
       "\t 46        & 0.4951565\\\\\n",
       "\t 47        & 0.3194266\\\\\n",
       "\t 48        & 0.4095340\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "age | polarity_score | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 13        | 0.2837880 | \n",
       "| 14        | 0.3135089 | \n",
       "| 15        | 0.3238808 | \n",
       "| 16        | 0.3219215 | \n",
       "| 17        | 0.3485861 | \n",
       "| 23        | 0.3662989 | \n",
       "| 24        | 0.3473385 | \n",
       "| 25        | 0.3465799 | \n",
       "| 26        | 0.3553429 | \n",
       "| 27        | 0.3402514 | \n",
       "| 33        | 0.3792355 | \n",
       "| 34        | 0.3546283 | \n",
       "| 35        | 0.3243976 | \n",
       "| 36        | 0.3385855 | \n",
       "| 37        | 0.3873315 | \n",
       "| 38        | 0.3154596 | \n",
       "| 39        | 0.3448602 | \n",
       "| 40        | 0.1752435 | \n",
       "| 41        | 0.3710151 | \n",
       "| 42        | 0.2327931 | \n",
       "| 43        | 0.2642008 | \n",
       "| 44        | 0.1976421 | \n",
       "| 45        | 0.3453472 | \n",
       "| 46        | 0.4951565 | \n",
       "| 47        | 0.3194266 | \n",
       "| 48        | 0.4095340 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   age polarity_score\n",
       "1  13  0.2837880     \n",
       "2  14  0.3135089     \n",
       "3  15  0.3238808     \n",
       "4  16  0.3219215     \n",
       "5  17  0.3485861     \n",
       "6  23  0.3662989     \n",
       "7  24  0.3473385     \n",
       "8  25  0.3465799     \n",
       "9  26  0.3553429     \n",
       "10 27  0.3402514     \n",
       "11 33  0.3792355     \n",
       "12 34  0.3546283     \n",
       "13 35  0.3243976     \n",
       "14 36  0.3385855     \n",
       "15 37  0.3873315     \n",
       "16 38  0.3154596     \n",
       "17 39  0.3448602     \n",
       "18 40  0.1752435     \n",
       "19 41  0.3710151     \n",
       "20 42  0.2327931     \n",
       "21 43  0.2642008     \n",
       "22 44  0.1976421     \n",
       "23 45  0.3453472     \n",
       "24 46  0.4951565     \n",
       "25 47  0.3194266     \n",
       "26 48  0.4095340     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregate(polarity_score ~ age, data=blogdata, mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These seem to vary more substantially - but that may be do to variance in data size. Looks like everything still falls within neutral."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>sentiment</th><th scope=col>age</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>negative</td><td>23.56961</td></tr>\n",
       "\t<tr><td>neutral </td><td>24.26917</td></tr>\n",
       "\t<tr><td>positive</td><td>23.87969</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " sentiment & age\\\\\n",
       "\\hline\n",
       "\t negative & 23.56961\\\\\n",
       "\t neutral  & 24.26917\\\\\n",
       "\t positive & 23.87969\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "sentiment | age | \n",
       "|---|---|---|\n",
       "| negative | 23.56961 | \n",
       "| neutral  | 24.26917 | \n",
       "| positive | 23.87969 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  sentiment age     \n",
       "1 negative  23.56961\n",
       "2 neutral   24.26917\n",
       "3 positive  23.87969"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregate(age ~ sentiment, data=blogdata, mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Neutral blogs have slightly older bloggers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>gender</th><th scope=col>polarity_score</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>female   </td><td>0.3664453</td></tr>\n",
       "\t<tr><td>male     </td><td>0.3173169</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " gender & polarity\\_score\\\\\n",
       "\\hline\n",
       "\t female    & 0.3664453\\\\\n",
       "\t male      & 0.3173169\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "gender | polarity_score | \n",
       "|---|---|\n",
       "| female    | 0.3664453 | \n",
       "| male      | 0.3173169 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  gender polarity_score\n",
       "1 female 0.3664453     \n",
       "2 male   0.3173169     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aggregate(polarity_score ~ gender, data=blogdata, mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Female bloggers have slightly higher polarity scores, though both fall within the neutral range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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2+fNqWv6BLv7JTOv/9V/JMna/wznfNc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\n/I8YuVkHX35JgmoktR9znASGjxTZ2EU7pDfMWHh9Mx+w9Tu0R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hDbEAhAAAIQgAAEIAABCECgdwnsNXSI/PHzM3st0jsXLpafz2VytXSA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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(blogdata, aes(industry, polarity_score, color=gender)) + geom_boxplot() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the purpose of data visualization, I'm going to create a subset with only the top 10 industries (excluding indUnk)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "subset(blogdata, industry=='Student' | industry=='Technology' | industry=='Arts' | industry=='Education' \n",
    "       | industry=='Communications-Media' | industry=='Internet' | industry=='Non-Profit' \n",
    "       | industry=='Engineering' | industry=='Law' | industry=='Publishing') -> blogdata.subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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O8zAZLYrrv5JUUazV9aSXshbPRE+M0QXP2ADZvXc6ON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\nMbEd9qdaiY46P7yffZB2+Z3vfGc6g87llfUm2jr2mWw52XdigFT0uK5U1nr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jjWGrrbYK73vf+8Kll14a7r777nSZZz7zmennkQiwZs2a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\nAQUUUEABBRRQoIjA/wcEROcTIhJpFwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(blogdata.subset, aes(industry, polarity_score, color=gender)) + geom_boxplot() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No obvious differences, except men who work in Law and Publishing seem to be more negative than women in those same fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nmKYbfxq2w24mu+kqRP21fNcchFV8km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ISQALILhXBQEmKSdjKh1q1bq5LD74YqTl+VcTNS0nsk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rIKYMUeg0SK1hIbtA69DMst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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(blogdata, aes(age, polarity_score)) + geom_point()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, this is not helpful. Let's try correlations.\n",
    "\n",
    "### Looking for relationships in the data\n",
    "I'm going to look for correlations between age, industry, gender, and polarity score. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "also installing the dependencies ‘modeltools’, ‘mclust’, ‘flexmix’, ‘prabclus’, ‘diptest’, ‘mvtnorm’, ‘trimcluster’, ‘gridExtra’, ‘bitops’, ‘fpc’, ‘viridis’, ‘gtools’, ‘gdata’, ‘caTools’, ‘TSP’, ‘qap’, ‘gclus’, ‘dendextend’, ‘gplots’, ‘registry’, ‘seriation’\n",
      "\n",
      "Updating HTML index of packages in '.Library'\n",
      "Making 'packages.html' ... done\n"
     ]
    }
   ],
   "source": [
    "# for some reason this one only worked in Jupyter notebook and not Anaconda-Navigator\n",
    "install.packages(\"corrgram\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(corrgram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1H/Dht4H8d1L2SMLlYFB0jbjatIOQQg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/dcPMqniOfFgX/GCnOBTUihLBwP9dgPdfcN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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrgram(blogdata[ , c(\"gender\",\"age\", \"industry\", \"polarity_score\")],\n",
    "         lower.panel=panel.pts, upper.panel=panel.conf, diag.panel=panel.density ,cor.method=\"pearson\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The correlogram didn't generate correlations for the gender and industry, which is expected as they're categorical variables but... it has worked for categorical variables before. There is basically no correlation between polarity score and age. It might as well be random."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trying mixed effects regression\n",
    "Now I'm going to build a model to see if any of the demographic information has any predictive power towards polarity score (again, I'm guessing no). Mixed effects regression is better than just doing an ANOVA because an ANOVA is for averaged data, and here we have many blogs per blogger. I think the data is supposed to be normally distributed.... but uh... I really don't know if there's a transformation that exists to fix this data. I think I am also not supposed to use predictor variables with >6 categories as a fixed effect. Let's just... try anyway."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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fOcrE2TtMwTTjjBduCRRx5p2BEdY0nWICGQGiLlIgQgAAEIQCB6Agik6F3sbwd1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\nAAQg8AWB/w8zY0isZzLeXgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(blogdata, aes(age)) + geom_density()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GBNvVu083j8sV++fHm2U/x/13i/c8ef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nhfGsMtnV98v3EnQIJL/MBv2INoFNmzbZ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\nAhCAAAQgAAEIZCDw/wAmuYe1BeHgvAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(blogdata, aes(polarity_score)) + geom_density()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yeah, the numerical data is not normally distributed.\n",
    "\n",
    "First, I'm going to make a bunch of models, each with a different combination of predictor variables (the demographic info). I will add in a random effect for ID # to account for variation between bloggers.Next I will compare across models using ANOVA to determine which one is the best. Lastly, I will investigate the models to determine whether the demographic info has any predictive power for polarity score at all."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "lmer(polarity_score ~ 1 + (1 | id), data=blogdata, REML=F) -> blog.m0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "lmer(polarity_score ~ gender + (1 | id), data=blogdata, REML=F) -> blog.m1\n",
    "lmer(polarity_score ~ gender + industry + (1 | id), data=blogdata, REML=F) -> blog.m2\n",
    "lmer(polarity_score ~ gender + industry + age  + (1 | id), data=blogdata, REML=F) -> blog.m3\n",
    "# let's through in astrological sign for fun\n",
    "lmer(polarity_score ~ gender + industry + age + sign  + (1 | id), data=blogdata, REML=F) -> blog.m4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Df</th><th scope=col>AIC</th><th scope=col>BIC</th><th scope=col>logLik</th><th scope=col>deviance</th><th scope=col>Chisq</th><th scope=col>Chi Df</th><th scope=col>Pr(&gt;Chisq)</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>blog.m0</th><td> 3          </td><td>1346564     </td><td>1346598     </td><td>-673278.8   </td><td>1346558     </td><td>       NA   </td><td>NA          </td><td>          NA</td></tr>\n",
       "\t<tr><th scope=row>blog.m1</th><td> 4          </td><td>1346447     </td><td>1346493     </td><td>-673219.4   </td><td>1346439     </td><td>118.78991   </td><td> 1          </td><td>1.164307e-27</td></tr>\n",
       "\t<tr><th scope=row>blog.m2</th><td>43          </td><td>1346369     </td><td>1346861     </td><td>-673141.5   </td><td>1346283     </td><td>155.76325   </td><td>39          </td><td>6.929947e-16</td></tr>\n",
       "\t<tr><th scope=row>blog.m3</th><td>44          </td><td>1346348     </td><td>1346851     </td><td>-673130.2   </td><td>1346260     </td><td> 22.64599   </td><td> 1          </td><td>1.947667e-06</td></tr>\n",
       "\t<tr><th scope=row>blog.m4</th><td>55          </td><td>1346352     </td><td>1346981     </td><td>-673121.2   </td><td>1346242     </td><td> 18.08041   </td><td>11          </td><td>7.973344e-02</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       "  & Df & AIC & BIC & logLik & deviance & Chisq & Chi Df & Pr(>Chisq)\\\\\n",
       "\\hline\n",
       "\tblog.m0 &  3           & 1346564      & 1346598      & -673278.8    & 1346558      &        NA    & NA           &           NA\\\\\n",
       "\tblog.m1 &  4           & 1346447      & 1346493      & -673219.4    & 1346439      & 118.78991    &  1           & 1.164307e-27\\\\\n",
       "\tblog.m2 & 43           & 1346369      & 1346861      & -673141.5    & 1346283      & 155.76325    & 39           & 6.929947e-16\\\\\n",
       "\tblog.m3 & 44           & 1346348      & 1346851      & -673130.2    & 1346260      &  22.64599    &  1           & 1.947667e-06\\\\\n",
       "\tblog.m4 & 55           & 1346352      & 1346981      & -673121.2    & 1346242      &  18.08041    & 11           & 7.973344e-02\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | Df | AIC | BIC | logLik | deviance | Chisq | Chi Df | Pr(>Chisq) | \n",
       "|---|---|---|---|---|\n",
       "| blog.m0 |  3           | 1346564      | 1346598      | -673278.8    | 1346558      |        NA    | NA           |           NA | \n",
       "| blog.m1 |  4           | 1346447      | 1346493      | -673219.4    | 1346439      | 118.78991    |  1           | 1.164307e-27 | \n",
       "| blog.m2 | 43           | 1346369      | 1346861      | -673141.5    | 1346283      | 155.76325    | 39           | 6.929947e-16 | \n",
       "| blog.m3 | 44           | 1346348      | 1346851      | -673130.2    | 1346260      |  22.64599    |  1           | 1.947667e-06 | \n",
       "| blog.m4 | 55           | 1346352      | 1346981      | -673121.2    | 1346242      |  18.08041    | 11           | 7.973344e-02 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "        Df AIC     BIC     logLik    deviance Chisq     Chi Df Pr(>Chisq)  \n",
       "blog.m0  3 1346564 1346598 -673278.8 1346558         NA NA               NA\n",
       "blog.m1  4 1346447 1346493 -673219.4 1346439  118.78991  1     1.164307e-27\n",
       "blog.m2 43 1346369 1346861 -673141.5 1346283  155.76325 39     6.929947e-16\n",
       "blog.m3 44 1346348 1346851 -673130.2 1346260   22.64599  1     1.947667e-06\n",
       "blog.m4 55 1346352 1346981 -673121.2 1346242   18.08041 11     7.973344e-02"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anova(blog.m0,blog.m1,blog.m2,blog.m3,blog.m4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best model for the data is the model with the highest log likelihood (`logLik`). The model with all 4 demographic variables (including astrological sign) is actually the best! However! The log likelihood is like -673k for all of them, which I think is very bad. Let's look into model 4."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear mixed model fit by maximum likelihood  ['lmerMod']\n",
      "Formula: polarity_score ~ gender + industry + age + sign + (1 | id)\n",
      "   Data: blogdata\n",
      "\n",
      "      AIC       BIC    logLik  deviance  df.resid \n",
      "1346352.3 1346981.1 -673121.2 1346242.3    681229 \n",
      "\n",
      "Scaled residuals: \n",
      "    Min      1Q  Median      3Q     Max \n",
      "-2.8954 -0.6593  0.3627  0.7740  2.5303 \n",
      "\n",
      "Random effects:\n",
      " Groups   Name        Variance Std.Dev.\n",
      " id       (Intercept) 0.05324  0.2307  \n",
      " Residual             0.40914  0.6396  \n",
      "Number of obs: 681284, groups:  id, 19320\n",
      "\n",
      "Fixed effects:\n",
      "                                  Estimate Std. Error t value\n",
      "(Intercept)                      0.4247153  0.0325458  13.050\n",
      "gendermale                      -0.0498910  0.0044785 -11.140\n",
      "industryAdvertising             -0.0626645  0.0397501  -1.576\n",
      "industryAgriculture             -0.0661496  0.0574912  -1.151\n",
      "industryArchitecture            -0.0269109  0.0471461  -0.571\n",
      "industryArts                    -0.0743483  0.0325172  -2.286\n",
      "industryAutomotive              -0.0667146  0.0542648  -1.229\n",
      "industryBanking                 -0.0411723  0.0425062  -0.969\n",
      "industryBiotech                 -0.0709943  0.0494695  -1.435\n",
      "industryBusinessServices        -0.0172668  0.0390566  -0.442\n",
      "industryChemicals               -0.1205713  0.0482087  -2.501\n",
      "industryCommunications-Media    -0.0455896  0.0334301  -1.364\n",
      "industryConstruction            -0.1060283  0.0517299  -2.050\n",
      "industryConsulting              -0.0285951  0.0381229  -0.750\n",
      "industryEducation               -0.0127879  0.0320559  -0.399\n",
      "industryEngineering             -0.0104478  0.0348727  -0.300\n",
      "industryEnvironment             -0.0755234  0.0663814  -1.138\n",
      "industryFashion                 -0.0640296  0.0437987  -1.462\n",
      "industryGovernment              -0.0483191  0.0363686  -1.329\n",
      "industryHumanResources          -0.0717648  0.0434280  -1.653\n",
      "industryindUnk                  -0.0526260  0.0308000  -1.709\n",
      "industryInternet                -0.0468453  0.0340232  -1.377\n",
      "industryInvestmentBanking       -0.0609216  0.0591454  -1.030\n",
      "industryLaw                     -0.0827632  0.0372155  -2.224\n",
      "industryLawEnforcement-Security -0.1466510  0.0503941  -2.910\n",
      "industryManufacturing           -0.0983071  0.0449917  -2.185\n",
      "industryMaritime                -0.1933629  0.0798953  -2.420\n",
      "industryMarketing                0.0581305  0.0383484   1.516\n",
      "industryMilitary                -0.0910652  0.0412375  -2.208\n",
      "industryMuseums-Libraries        0.0148911  0.0498550   0.299\n",
      "industryNon-Profit              -0.0461181  0.0343897  -1.341\n",
      "industryPublishing              -0.0722603  0.0387692  -1.864\n",
      "industryRealEstate              -0.1148206  0.0520122  -2.208\n",
      "industryReligion                 0.0730791  0.0396171   1.845\n",
      "industryScience                 -0.0259601  0.0377113  -0.688\n",
      "industrySports-Recreation        0.0410145  0.0441894   0.928\n",
      "industryStudent                 -0.0589994  0.0310034  -1.903\n",
      "industryTechnology              -0.0234564  0.0321833  -0.729\n",
      "industryTelecommunications      -0.0170240  0.0418499  -0.407\n",
      "industryTourism                 -0.0243388  0.0445240  -0.547\n",
      "industryTransportation          -0.0794143  0.0438933  -1.809\n",
      "age                              0.0014983  0.0003172   4.723\n",
      "signAries                       -0.0143360  0.0109498  -1.309\n",
      "signCancer                      -0.0043218  0.0108139  -0.400\n",
      "signCapricorn                   -0.0059237  0.0113122  -0.524\n",
      "signGemini                       0.0076671  0.0109922   0.698\n",
      "signLeo                          0.0132025  0.0109248   1.208\n",
      "signLibra                        0.0061681  0.0108185   0.570\n",
      "signPisces                       0.0050161  0.0110242   0.455\n",
      "signSagittarius                 -0.0046365  0.0110463  -0.420\n",
      "signScorpio                     -0.0181905  0.0109251  -1.665\n",
      "signTaurus                      -0.0027863  0.0108723  -0.256\n",
      "signVirgo                        0.0104390  0.0107097   0.975\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Correlation of fixed effects could have been required in summary()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Correlation of Fixed Effects:\n",
      "            (Intr) gndrml indstryAd indstryAg indstryArc indstryArt indstryAt\n",
      "gendermale  -0.048                                                           \n",
      "indstryAdvr -0.717 -0.028                                                    \n",
      "indstryAgrc -0.502 -0.011  0.409                                             \n",
      "indstryArch -0.606 -0.022  0.499     0.345                                   \n",
      "indstryArts -0.882 -0.019  0.723     0.500     0.609                         \n",
      "indstryAtmt -0.526 -0.035  0.434     0.299     0.366      0.529              \n",
      "indstryBnkn -0.671 -0.031  0.553     0.382     0.466      0.676      0.405   \n",
      "indstryBtch -0.584 -0.031  0.475     0.329     0.401      0.581      0.349   \n",
      "indstryBsnS -0.732 -0.025  0.602     0.416     0.508      0.736      0.441   \n",
      "indstryChmc -0.601 -0.032  0.488     0.338     0.411      0.597      0.358   \n",
      "indstryCm-M -0.853 -0.038  0.703     0.486     0.593      0.859      0.516   \n",
      "indstryCnst -0.547 -0.023  0.455     0.313     0.383      0.555      0.333   \n",
      "indstryCnsl -0.743 -0.037  0.617     0.426     0.520      0.753      0.452   \n",
      "indstryEdct -0.895 -0.020  0.733     0.507     0.618      0.896      0.537   \n",
      "indstryEngn -0.821 -0.061  0.675     0.466     0.569      0.824      0.495   \n",
      "indstryEnvr -0.432 -0.013  0.354     0.245     0.299      0.433      0.259   \n",
      "indstryFshn -0.660  0.002  0.536     0.371     0.452      0.656      0.392   \n",
      "indstryGvrn -0.784 -0.039  0.647     0.447     0.545      0.790      0.474   \n",
      "indstryHmnR -0.659 -0.018  0.541     0.374     0.456      0.661      0.397   \n",
      "indstryndUn -0.937 -0.020  0.763     0.528     0.643      0.933      0.559   \n",
      "indstryIntr -0.837 -0.061  0.692     0.478     0.583      0.845      0.507   \n",
      "indstryInvB -0.481 -0.031  0.398     0.275     0.336      0.486      0.292   \n",
      "industryLaw -0.767 -0.021  0.632     0.436     0.532      0.772      0.463   \n",
      "indstryLE-S -0.572 -0.025  0.467     0.323     0.394      0.570      0.342   \n",
      "indstryMnfc -0.630 -0.042  0.523     0.361     0.441      0.639      0.384   \n",
      "indstryMrtm -0.358 -0.028  0.295     0.204     0.249      0.360      0.216   \n",
      "indstryMrkt -0.742 -0.013  0.613     0.423     0.517      0.749      0.449   \n",
      "indstryMltr -0.697 -0.047  0.571     0.395     0.481      0.697      0.419   \n",
      "indstryMs-L -0.569 -0.010  0.471     0.325     0.397      0.576      0.345   \n",
      "indstryNn-P -0.836 -0.027  0.683     0.473     0.576      0.836      0.501   \n",
      "indstryPbls -0.730 -0.022  0.606     0.419     0.511      0.741      0.444   \n",
      "indstryRlEs -0.549 -0.003  0.452     0.312     0.381      0.552      0.331   \n",
      "indstryRlgn -0.720 -0.046  0.594     0.410     0.501      0.725      0.436   \n",
      "indstryScnc -0.761 -0.031  0.623     0.431     0.526      0.762      0.457   \n",
      "indstrySp-R -0.656 -0.028  0.532     0.368     0.449      0.650      0.390   \n",
      "indstryStdn -0.945 -0.032  0.758     0.526     0.640      0.928      0.556   \n",
      "indstryTchn -0.883 -0.072  0.732     0.505     0.617      0.893      0.537   \n",
      "indstryTlcm -0.678 -0.038  0.562     0.388     0.474      0.687      0.412   \n",
      "indstryTrsm -0.642 -0.017  0.528     0.365     0.445      0.645      0.387   \n",
      "indstryTrns -0.644 -0.037  0.536     0.370     0.452      0.655      0.393   \n",
      "age         -0.257  0.016 -0.008     0.018     0.002      0.012      0.002   \n",
      "signAries   -0.159  0.017 -0.010    -0.007    -0.015     -0.015     -0.005   \n",
      "signCancer  -0.176  0.008  0.002     0.007    -0.003      0.003     -0.004   \n",
      "signCaprcrn -0.156  0.005 -0.006    -0.007    -0.009     -0.015     -0.003   \n",
      "signGemini  -0.167  0.016 -0.005     0.001    -0.001     -0.008     -0.002   \n",
      "signLeo     -0.164  0.018 -0.006    -0.003    -0.009     -0.009     -0.012   \n",
      "signLibra   -0.173  0.012 -0.002    -0.004    -0.006     -0.009      0.000   \n",
      "signPisces  -0.170  0.030  0.001    -0.008    -0.002     -0.002      0.001   \n",
      "signSagttrs -0.173  0.016 -0.003    -0.001    -0.008     -0.008     -0.007   \n",
      "signScorpio -0.175  0.009  0.001    -0.002    -0.010     -0.004      0.000   \n",
      "signTaurus  -0.169  0.012 -0.004    -0.007    -0.004     -0.007      0.003   \n",
      "signVirgo   -0.175  0.009 -0.003     0.003    -0.004     -0.006     -0.008   \n",
      "            indstryBn indstryBt indsBS indstryCh indC-M indstryCnst indstryCnsl\n",
      "gendermale                                                                     \n",
      "indstryAdvr                                                                    \n",
      "indstryAgrc                                                                    \n",
      "indstryArch                                                                    \n",
      "indstryArts                                                                    \n",
      "indstryAtmt                                                                    \n",
      "indstryBnkn                                                                    \n",
      "indstryBtch  0.445                                                             \n",
      "indstryBsnS  0.563     0.484                                                   \n",
      "indstryChmc  0.456     0.393     0.497                                         \n",
      "indstryCm-M  0.658     0.566     0.716  0.580                                  \n",
      "indstryCnst  0.425     0.365     0.462  0.374     0.541                        \n",
      "indstryCnsl  0.577     0.496     0.628  0.508     0.734  0.475                 \n",
      "indstryEdct  0.686     0.589     0.746  0.605     0.872  0.563       0.764     \n",
      "indstryEngn  0.632     0.543     0.687  0.557     0.803  0.518       0.704     \n",
      "indstryEnvr  0.331     0.285     0.360  0.292     0.421  0.272       0.369     \n",
      "indstryFshn  0.501     0.431     0.545  0.442     0.637  0.411       0.558     \n",
      "indstryGvrn  0.605     0.520     0.658  0.533     0.769  0.497       0.675     \n",
      "indstryHmnR  0.506     0.435     0.551  0.446     0.644  0.416       0.564     \n",
      "indstryndUn  0.714     0.614     0.777  0.631     0.907  0.585       0.795     \n",
      "indstryIntr  0.647     0.556     0.704  0.571     0.823  0.532       0.722     \n",
      "indstryInvB  0.372     0.320     0.405  0.328     0.473  0.306       0.415     \n",
      "industryLaw  0.591     0.507     0.643  0.521     0.751  0.485       0.659     \n",
      "indstryLE-S  0.437     0.375     0.475  0.386     0.555  0.358       0.487     \n",
      "indstryMnfc  0.489     0.420     0.532  0.431     0.622  0.402       0.546     \n",
      "indstryMrtm  0.276     0.237     0.300  0.244     0.351  0.226       0.307     \n",
      "indstryMrkt  0.573     0.492     0.623  0.505     0.729  0.471       0.639     \n",
      "indstryMltr  0.534     0.459     0.581  0.472     0.679  0.438       0.595     \n",
      "indstryMs-L  0.441     0.378     0.480  0.388     0.561  0.363       0.492     \n",
      "indstryNn-P  0.639     0.550     0.696  0.564     0.813  0.525       0.713     \n",
      "indstryPbls  0.567     0.487     0.617  0.500     0.721  0.466       0.633     \n",
      "indstryRlEs  0.422     0.363     0.460  0.372     0.537  0.347       0.471     \n",
      "indstryRlgn  0.556     0.478     0.604  0.490     0.707  0.457       0.620     \n",
      "indstryScnc  0.583     0.501     0.634  0.515     0.741  0.479       0.650     \n",
      "indstrySp-R  0.498     0.428     0.541  0.440     0.633  0.408       0.554     \n",
      "indstryStdn  0.709     0.611     0.772  0.629     0.902  0.581       0.789     \n",
      "indstryTchn  0.685     0.588     0.745  0.603     0.871  0.562       0.764     \n",
      "indstryTlcm  0.526     0.452     0.572  0.463     0.669  0.432       0.587     \n",
      "indstryTrsm  0.494     0.424     0.538  0.436     0.628  0.406       0.551     \n",
      "indstryTrns  0.502     0.431     0.546  0.442     0.638  0.412       0.560     \n",
      "age         -0.003     0.019     0.002  0.035    -0.006 -0.023      -0.027     \n",
      "signAries   -0.012    -0.003    -0.015 -0.008    -0.016 -0.006      -0.010     \n",
      "signCancer   0.005     0.007    -0.002 -0.002     0.001  0.003       0.004     \n",
      "signCaprcrn -0.005    -0.004    -0.010 -0.009    -0.011  0.001      -0.011     \n",
      "signGemini  -0.008     0.004    -0.009 -0.010    -0.001 -0.003       0.003     \n",
      "signLeo     -0.002     0.001    -0.021 -0.012    -0.012  0.000      -0.006     \n",
      "signLibra   -0.007    -0.006    -0.008 -0.012    -0.013 -0.002      -0.006     \n",
      "signPisces  -0.001    -0.002    -0.002  0.000    -0.002  0.002       0.000     \n",
      "signSagttrs -0.009     0.010    -0.004 -0.004    -0.001  0.005       0.003     \n",
      "signScorpio  0.000     0.007    -0.003 -0.005    -0.004 -0.001       0.002     \n",
      "signTaurus  -0.010     0.002    -0.003 -0.005    -0.006  0.004      -0.004     \n",
      "signVirgo   -0.002     0.004    -0.011 -0.002    -0.006 -0.003      -0.001     \n",
      "            indstryEd indstryEng indstryEnv indstF indstG indsHR indstU indstI\n",
      "gendermale                                                                    \n",
      "indstryAdvr                                                                   \n",
      "indstryAgrc                                                                   \n",
      "indstryArch                                                                   \n",
      "indstryArts                                                                   \n",
      "indstryAtmt                                                                   \n",
      "indstryBnkn                                                                   \n",
      "indstryBtch                                                                   \n",
      "indstryBsnS                                                                   \n",
      "indstryChmc                                                                   \n",
      "indstryCm-M                                                                   \n",
      "indstryCnst                                                                   \n",
      "indstryCnsl                                                                   \n",
      "indstryEdct                                                                   \n",
      "indstryEngn  0.836                                                            \n",
      "indstryEnvr  0.439     0.404                                                  \n",
      "indstryFshn  0.665     0.611      0.321                                       \n",
      "indstryGvrn  0.801     0.738      0.387      0.586                            \n",
      "indstryHmnR  0.671     0.617      0.324      0.491  0.592                     \n",
      "indstryndUn  0.946     0.871      0.457      0.693  0.834  0.698              \n",
      "indstryIntr  0.857     0.790      0.414      0.626  0.757  0.633  0.892       \n",
      "indstryInvB  0.493     0.454      0.238      0.360  0.435  0.364  0.513  0.466\n",
      "industryLaw  0.783     0.720      0.378      0.572  0.691  0.578  0.815  0.739\n",
      "indstryLE-S  0.579     0.533      0.279      0.423  0.510  0.427  0.603  0.546\n",
      "indstryMnfc  0.648     0.597      0.313      0.473  0.572  0.479  0.674  0.613\n",
      "indstryMrtm  0.365     0.337      0.177      0.267  0.322  0.269  0.381  0.345\n",
      "indstryMrkt  0.759     0.699      0.367      0.555  0.670  0.561  0.790  0.716\n",
      "indstryMltr  0.708     0.652      0.341      0.517  0.624  0.522  0.737  0.668\n",
      "indstryMs-L  0.584     0.537      0.282      0.427  0.516  0.431  0.608  0.551\n",
      "indstryNn-P  0.848     0.780      0.409      0.620  0.747  0.625  0.882  0.799\n",
      "indstryPbls  0.751     0.692      0.363      0.549  0.663  0.555  0.782  0.709\n",
      "indstryRlEs  0.560     0.515      0.270      0.410  0.494  0.413  0.583  0.528\n",
      "indstryRlgn  0.736     0.678      0.355      0.538  0.650  0.543  0.766  0.695\n",
      "indstryScnc  0.773     0.712      0.373      0.565  0.682  0.570  0.805  0.729\n",
      "indstrySp-R  0.660     0.607      0.318      0.483  0.581  0.487  0.687  0.622\n",
      "indstryStdn  0.941     0.866      0.454      0.689  0.828  0.693  0.982  0.886\n",
      "indstryTchn  0.906     0.836      0.438      0.662  0.801  0.669  0.943  0.857\n",
      "indstryTlcm  0.697     0.642      0.336      0.509  0.615  0.514  0.725  0.658\n",
      "indstryTrsm  0.655     0.602      0.316      0.479  0.577  0.483  0.681  0.618\n",
      "indstryTrns  0.664     0.612      0.321      0.485  0.587  0.491  0.691  0.628\n",
      "age          0.013     0.006      0.004      0.020 -0.011 -0.004  0.035 -0.012\n",
      "signAries   -0.020    -0.008      0.000     -0.012 -0.008 -0.009 -0.018 -0.017\n",
      "signCancer   0.000     0.006      0.008      0.006  0.011  0.007  0.002  0.006\n",
      "signCaprcrn -0.014    -0.010     -0.001     -0.005 -0.007 -0.002 -0.014 -0.010\n",
      "signGemini  -0.010     0.001      0.001     -0.004 -0.002  0.006 -0.008 -0.004\n",
      "signLeo     -0.013    -0.007      0.003      0.004 -0.005  0.001 -0.011 -0.005\n",
      "signLibra   -0.008    -0.009     -0.004      0.003 -0.005  0.001 -0.010 -0.007\n",
      "signPisces  -0.005     0.002     -0.005     -0.007  0.002  0.001 -0.004  0.003\n",
      "signSagttrs -0.003     0.002     -0.003      0.006  0.003  0.000 -0.003  0.000\n",
      "signScorpio -0.006     0.001     -0.021     -0.003  0.001 -0.002 -0.004 -0.003\n",
      "signTaurus  -0.010    -0.005     -0.001     -0.006 -0.002  0.011 -0.008 -0.002\n",
      "signVirgo   -0.010     0.002     -0.002      0.004 -0.004  0.010 -0.006 -0.001\n",
      "            indsIB indstL inLE-S indstryMn indstryMrt indstryMrk indstryMl\n",
      "gendermale                                                                \n",
      "indstryAdvr                                                               \n",
      "indstryAgrc                                                               \n",
      "indstryArch                                                               \n",
      "indstryArts                                                               \n",
      "indstryAtmt                                                               \n",
      "indstryBnkn                                                               \n",
      "indstryBtch                                                               \n",
      "indstryBsnS                                                               \n",
      "indstryChmc                                                               \n",
      "indstryCm-M                                                               \n",
      "indstryCnst                                                               \n",
      "indstryCnsl                                                               \n",
      "indstryEdct                                                               \n",
      "indstryEngn                                                               \n",
      "indstryEnvr                                                               \n",
      "indstryFshn                                                               \n",
      "indstryGvrn                                                               \n",
      "indstryHmnR                                                               \n",
      "indstryndUn                                                               \n",
      "indstryIntr                                                               \n",
      "indstryInvB                                                               \n",
      "industryLaw  0.425                                                        \n",
      "indstryLE-S  0.314  0.498                                                 \n",
      "indstryMnfc  0.352  0.558  0.412                                          \n",
      "indstryMrtm  0.198  0.315  0.233  0.261                                   \n",
      "indstryMrkt  0.412  0.654  0.483  0.542     0.305                         \n",
      "indstryMltr  0.384  0.609  0.451  0.505     0.285      0.591              \n",
      "indstryMs-L  0.317  0.504  0.372  0.417     0.235      0.489      0.454   \n",
      "indstryNn-P  0.460  0.730  0.540  0.604     0.341      0.708      0.660   \n",
      "indstryPbls  0.408  0.648  0.478  0.537     0.302      0.629      0.585   \n",
      "indstryRlEs  0.304  0.482  0.356  0.399     0.225      0.468      0.436   \n",
      "indstryRlgn  0.400  0.634  0.469  0.525     0.296      0.615      0.574   \n",
      "indstryScnc  0.419  0.666  0.492  0.551     0.311      0.646      0.602   \n",
      "indstrySp-R  0.358  0.568  0.420  0.470     0.265      0.551      0.514   \n",
      "indstryStdn  0.510  0.809  0.600  0.669     0.379      0.785      0.734   \n",
      "indstryTchn  0.493  0.781  0.577  0.648     0.365      0.757      0.707   \n",
      "indstryTlcm  0.378  0.600  0.444  0.497     0.280      0.582      0.543   \n",
      "indstryTrsm  0.355  0.564  0.417  0.467     0.263      0.547      0.509   \n",
      "indstryTrns  0.361  0.572  0.423  0.475     0.267      0.555      0.517   \n",
      "age         -0.008 -0.006  0.017 -0.019     0.011     -0.010      0.019   \n",
      "signAries   -0.012 -0.011 -0.015 -0.012    -0.015     -0.016     -0.010   \n",
      "signCancer   0.005  0.001  0.001  0.002    -0.002     -0.006      0.008   \n",
      "signCaprcrn -0.008 -0.016 -0.009 -0.006    -0.015     -0.013     -0.009   \n",
      "signGemini  -0.007 -0.006 -0.001 -0.009    -0.003     -0.007     -0.003   \n",
      "signLeo     -0.008 -0.006 -0.010 -0.004    -0.009     -0.008     -0.005   \n",
      "signLibra    0.004 -0.003  0.002 -0.003    -0.009     -0.011     -0.004   \n",
      "signPisces   0.006  0.001  0.003 -0.002    -0.008     -0.002      0.000   \n",
      "signSagttrs -0.001 -0.002  0.000 -0.006    -0.004     -0.009      0.000   \n",
      "signScorpio -0.001 -0.007  0.001 -0.007    -0.011     -0.006      0.002   \n",
      "signTaurus   0.006 -0.001 -0.008  0.003    -0.014     -0.005     -0.012   \n",
      "signVirgo    0.000 -0.009 -0.003 -0.003    -0.010     -0.002     -0.007   \n",
      "            indM-L indN-P indstP indsRE indstR indstrySc indS-R indstrySt\n",
      "gendermale                                                               \n",
      "indstryAdvr                                                              \n",
      "indstryAgrc                                                              \n",
      "indstryArch                                                              \n",
      "indstryArts                                                              \n",
      "indstryAtmt                                                              \n",
      "indstryBnkn                                                              \n",
      "indstryBtch                                                              \n",
      "indstryBsnS                                                              \n",
      "indstryChmc                                                              \n",
      "indstryCm-M                                                              \n",
      "indstryCnst                                                              \n",
      "indstryCnsl                                                              \n",
      "indstryEdct                                                              \n",
      "indstryEngn                                                              \n",
      "indstryEnvr                                                              \n",
      "indstryFshn                                                              \n",
      "indstryGvrn                                                              \n",
      "indstryHmnR                                                              \n",
      "indstryndUn                                                              \n",
      "indstryIntr                                                              \n",
      "indstryInvB                                                              \n",
      "industryLaw                                                              \n",
      "indstryLE-S                                                              \n",
      "indstryMnfc                                                              \n",
      "indstryMrtm                                                              \n",
      "indstryMrkt                                                              \n",
      "indstryMltr                                                              \n",
      "indstryMs-L                                                              \n",
      "indstryNn-P  0.545                                                       \n",
      "indstryPbls  0.484  0.701                                                \n",
      "indstryRlEs  0.360  0.522  0.463                                         \n",
      "indstryRlgn  0.473  0.686  0.609  0.453                                  \n",
      "indstryScnc  0.497  0.721  0.639  0.476  0.626                           \n",
      "indstrySp-R  0.423  0.615  0.545  0.406  0.534  0.561                    \n",
      "indstryStdn  0.603  0.878  0.776  0.579  0.761  0.800     0.685          \n",
      "indstryTchn  0.583  0.845  0.750  0.558  0.736  0.771     0.658  0.937   \n",
      "indstryTlcm  0.448  0.649  0.577  0.429  0.565  0.592     0.505  0.719   \n",
      "indstryTrsm  0.421  0.610  0.542  0.403  0.530  0.557     0.475  0.677   \n",
      "indstryTrns  0.428  0.619  0.550  0.409  0.539  0.565     0.481  0.685   \n",
      "age         -0.018  0.017 -0.021  0.001 -0.008  0.010     0.030  0.093   \n",
      "signAries   -0.015 -0.015 -0.022 -0.014 -0.010 -0.012    -0.003 -0.019   \n",
      "signCancer   0.005  0.006 -0.005 -0.004  0.002  0.008     0.004  0.001   \n",
      "signCaprcrn -0.002 -0.009 -0.021 -0.016 -0.008 -0.002     0.001 -0.016   \n",
      "signGemini  -0.010 -0.006 -0.014 -0.008  0.001 -0.001    -0.002 -0.009   \n",
      "signLeo     -0.016 -0.009 -0.015 -0.008 -0.002 -0.006     0.002 -0.014   \n",
      "signLibra   -0.010 -0.003 -0.016 -0.013 -0.008 -0.001     0.001 -0.012   \n",
      "signPisces   0.002 -0.003 -0.008 -0.008  0.005 -0.003     0.007 -0.006   \n",
      "signSagttrs  0.000 -0.002 -0.014  0.001  0.002 -0.005    -0.002 -0.005   \n",
      "signScorpio -0.008 -0.003 -0.009 -0.004  0.005 -0.006     0.005 -0.005   \n",
      "signTaurus   0.001 -0.003 -0.007 -0.007 -0.004 -0.006    -0.004 -0.009   \n",
      "signVirgo   -0.007 -0.005 -0.011 -0.010 -0.001 -0.001     0.005 -0.008   \n",
      "            indstryTc indstryTl indstryTrs indstryTrn age    sgnArs sgnCnc\n",
      "gendermale                                                                \n",
      "indstryAdvr                                                               \n",
      "indstryAgrc                                                               \n",
      "indstryArch                                                               \n",
      "indstryArts                                                               \n",
      "indstryAtmt                                                               \n",
      "indstryBnkn                                                               \n",
      "indstryBtch                                                               \n",
      "indstryBsnS                                                               \n",
      "indstryChmc                                                               \n",
      "indstryCm-M                                                               \n",
      "indstryCnst                                                               \n",
      "indstryCnsl                                                               \n",
      "indstryEdct                                                               \n",
      "indstryEngn                                                               \n",
      "indstryEnvr                                                               \n",
      "indstryFshn                                                               \n",
      "indstryGvrn                                                               \n",
      "indstryHmnR                                                               \n",
      "indstryndUn                                                               \n",
      "indstryIntr                                                               \n",
      "indstryInvB                                                               \n",
      "industryLaw                                                               \n",
      "indstryLE-S                                                               \n",
      "indstryMnfc                                                               \n",
      "indstryMrtm                                                               \n",
      "indstryMrkt                                                               \n",
      "indstryMltr                                                               \n",
      "indstryMs-L                                                               \n",
      "indstryNn-P                                                               \n",
      "indstryPbls                                                               \n",
      "indstryRlEs                                                               \n",
      "indstryRlgn                                                               \n",
      "indstryScnc                                                               \n",
      "indstrySp-R                                                               \n",
      "indstryStdn                                                               \n",
      "indstryTchn                                                               \n",
      "indstryTlcm  0.696                                                        \n",
      "indstryTrsm  0.653     0.502                                              \n",
      "indstryTrns  0.664     0.510     0.479                                    \n",
      "age         -0.014    -0.015     0.003     -0.022                         \n",
      "signAries   -0.017    -0.013    -0.021     -0.021     -0.008              \n",
      "signCancer   0.004     0.000     0.000      0.001     -0.021  0.530       \n",
      "signCaprcrn -0.012    -0.011    -0.009     -0.009     -0.006  0.507  0.513\n",
      "signGemini  -0.004    -0.006    -0.009     -0.007     -0.011  0.522  0.528\n",
      "signLeo     -0.011    -0.016    -0.014     -0.015     -0.014  0.525  0.532\n",
      "signLibra   -0.010    -0.009    -0.013     -0.008      0.015  0.530  0.536\n",
      "signPisces  -0.003    -0.007     0.000     -0.007     -0.014  0.520  0.526\n",
      "signSagttrs -0.003    -0.003    -0.006     -0.009      0.004  0.519  0.525\n",
      "signScorpio -0.005     0.001    -0.004     -0.005      0.010  0.524  0.530\n",
      "signTaurus  -0.007    -0.010    -0.003     -0.005     -0.008  0.527  0.533\n",
      "signVirgo   -0.008    -0.007    -0.006     -0.008      0.003  0.535  0.542\n",
      "            sgnCpr sgnGmn signLe sgnLbr sgnPsc sgnSgt sgnScr sgnTrs\n",
      "gendermale                                                         \n",
      "indstryAdvr                                                        \n",
      "indstryAgrc                                                        \n",
      "indstryArch                                                        \n",
      "indstryArts                                                        \n",
      "indstryAtmt                                                        \n",
      "indstryBnkn                                                        \n",
      "indstryBtch                                                        \n",
      "indstryBsnS                                                        \n",
      "indstryChmc                                                        \n",
      "indstryCm-M                                                        \n",
      "indstryCnst                                                        \n",
      "indstryCnsl                                                        \n",
      "indstryEdct                                                        \n",
      "indstryEngn                                                        \n",
      "indstryEnvr                                                        \n",
      "indstryFshn                                                        \n",
      "indstryGvrn                                                        \n",
      "indstryHmnR                                                        \n",
      "indstryndUn                                                        \n",
      "indstryIntr                                                        \n",
      "indstryInvB                                                        \n",
      "industryLaw                                                        \n",
      "indstryLE-S                                                        \n",
      "indstryMnfc                                                        \n",
      "indstryMrtm                                                        \n",
      "indstryMrkt                                                        \n",
      "indstryMltr                                                        \n",
      "indstryMs-L                                                        \n",
      "indstryNn-P                                                        \n",
      "indstryPbls                                                        \n",
      "indstryRlEs                                                        \n",
      "indstryRlgn                                                        \n",
      "indstryScnc                                                        \n",
      "indstrySp-R                                                        \n",
      "indstryStdn                                                        \n",
      "indstryTchn                                                        \n",
      "indstryTlcm                                                        \n",
      "indstryTrsm                                                        \n",
      "indstryTrns                                                        \n",
      "age                                                                \n",
      "signAries                                                          \n",
      "signCancer                                                         \n",
      "signCaprcrn                                                        \n",
      "signGemini   0.505                                                 \n",
      "signLeo      0.508  0.523                                          \n",
      "signLibra    0.513  0.527  0.531                                   \n",
      "signPisces   0.503  0.518  0.522  0.526                            \n",
      "signSagttrs  0.502  0.517  0.520  0.525  0.515                     \n",
      "signScorpio  0.507  0.522  0.525  0.531  0.521  0.520              \n",
      "signTaurus   0.510  0.525  0.528  0.533  0.524  0.522  0.527       \n",
      "signVirgo    0.518  0.533  0.537  0.542  0.532  0.530  0.536  0.539\n"
     ]
    }
   ],
   "source": [
    "print(summary(blog.m4), correlation=TRUE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It told me it wouldn't print the correlation table unless I told it to, which I did, and it is very long. It appears that some of the coefficients (the demographic predictors) are correlated with each other, which I might be able to account for using interactions, but it's hard to tell because there are so many of them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusions\n",
    "The actual sentiment analysis part of my project was not super conclusive. But I learned a lot about how sentiment analysis works and started figuring out how to analyze my own data. I don't know if I will have the most cohesive project presentation, but I'm happy with the different paths I explored."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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