govdoc-cr-analysis/text_analysis/quick_data_summary.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributing_readability = pd.read_csv(\"020125_CONTRIBUTING_readability.csv\")\n",
    "readme_readability = pd.read_csv(\"020325_README_readability.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>filename</th>\n",
       "      <th>flesch_reading_ease</th>\n",
       "      <th>flesch_kincaid_grade</th>\n",
       "      <th>linsear_write_formula</th>\n",
       "      <th>dale_chall_readability_score</th>\n",
       "      <th>mcalpine_eflaw</th>\n",
       "      <th>reading_time</th>\n",
       "      <th>char_count</th>\n",
       "      <th>word_count</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pytest-dev_pytest-bdd.git_hullabaloo_CONTRIBUT...</td>\n",
       "      <td>40.95</td>\n",
       "      <td>10.9</td>\n",
       "      <td>10.6000</td>\n",
       "      <td>11.61</td>\n",
       "      <td>18.2</td>\n",
       "      <td>6.58</td>\n",
       "      <td>448</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>lxqt_qterminal.git_hullabaloo_CONTRIBUTING.md</td>\n",
       "      <td>51.14</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0000</td>\n",
       "      <td>9.63</td>\n",
       "      <td>15.3</td>\n",
       "      <td>10.44</td>\n",
       "      <td>711</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rbenv_ruby-build.git_hullabaloo_CONTRIBUTING.md</td>\n",
       "      <td>71.14</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>10.05</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.16</td>\n",
       "      <td>79</td>\n",
       "      <td>17</td>\n",
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       "      <th>3</th>\n",
       "      <td>muse-sequencer_muse.git_hullabaloo_CONTRIBUTING</td>\n",
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       "      <td>24.1</td>\n",
       "      <td>3.5000</td>\n",
       "      <td>25.99</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.09</td>\n",
       "      <td>74</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mypaint_libmypaint_hullabaloo_CONTRIBUTING.md</td>\n",
       "      <td>51.04</td>\n",
       "      <td>9.1</td>\n",
       "      <td>6.5625</td>\n",
       "      <td>9.93</td>\n",
       "      <td>16.8</td>\n",
       "      <td>8.68</td>\n",
       "      <td>591</td>\n",
       "      <td>94</td>\n",
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      "text/plain": [
       "                                            filename  flesch_reading_ease  \\\n",
       "0  pytest-dev_pytest-bdd.git_hullabaloo_CONTRIBUT...                40.95   \n",
       "1      lxqt_qterminal.git_hullabaloo_CONTRIBUTING.md                51.14   \n",
       "2    rbenv_ruby-build.git_hullabaloo_CONTRIBUTING.md                71.14   \n",
       "3    muse-sequencer_muse.git_hullabaloo_CONTRIBUTING               -68.97   \n",
       "4      mypaint_libmypaint_hullabaloo_CONTRIBUTING.md                51.04   \n",
       "\n",
       "   flesch_kincaid_grade  linsear_write_formula  dale_chall_readability_score  \\\n",
       "0                  10.9                10.6000                         11.61   \n",
       "1                   9.0                 8.0000                          9.63   \n",
       "2                   7.6                 9.0000                         10.05   \n",
       "3                  24.1                 3.5000                         25.99   \n",
       "4                   9.1                 6.5625                          9.93   \n",
       "\n",
       "   mcalpine_eflaw  reading_time  char_count  word_count  \n",
       "0            18.2          6.58         448          67  \n",
       "1            15.3         10.44         711         105  \n",
       "2            27.0          1.16          79          17  \n",
       "3             6.0          1.09          74           5  \n",
       "4            16.8          8.68         591          94  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contributing_readability.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "214.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contributing_readability['word_count'].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "readme_readability['flesch_kincaid_grade'].median()"
   ]
  }
 ],
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