readability scoring

2025-02-02 22:51:49 -06:00 · 2025-02-02 22:51:49 -06:00 · 3cb7ad9082
commit 3cb7ad9082
parent a4431932e3
4 changed files with 5293 additions and 0 deletions
--- a/text_analysis/020125_CONTRIBUTING_readability.csv
+++ b/text_analysis/020125_CONTRIBUTING_readability.csv
@ -0,0 +1,716 @@
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--- a/text_analysis/020125_README_readability.csv
+++ b/text_analysis/020125_README_readability.csv
--- a/text_analysis/quick_data_summary.ipynb
+++ b/text_analysis/quick_data_summary.ipynb
@ -0,0 +1,219 @@
 {
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  {
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   ]
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributing_readability = pd.read_csv(\"020125_CONTRIBUTING_readability.csv\")\n",
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   ]
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  {
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   "outputs": [
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   ],
   "source": [
    "contributing_readability.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "214.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contributing_readability['word_count'].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.1"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "readme_readability['flesch_kincaid_grade'].median()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
 }
--- a/text_analysis/readability.ipynb
+++ b/text_analysis/readability.ipynb
@ -0,0 +1,104 @@
 {
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os \n",
    "import textstat\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "contributing_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/contributing/\"\n",
    "readme_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/\"\n",
    "\n",
    "csv_fieldnames = [ 'filename', 'flesch_reading_ease', 'flesch_kincaid_grade', 'linsear_write_formula', 'dale_chall_readability_score', 'mcalpine_eflaw', 'reading_time', 'char_count', 'word_count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_file(output_csv, wdirectory):\n",
    "    with open(output_csv, 'w') as csvfile: \n",
    "        writer = csv.DictWriter(csvfile, fieldnames = csv_fieldnames) \n",
    "        writer.writeheader() \n",
    "        files = os.listdir(wdirectory)\n",
    "        for file in files:\n",
    "            file_dict = {\"filename\": file}\n",
    "            full_address = wdirectory + file\n",
    "            file_dict = get_readibility(full_address, file_dict)\n",
    "            writer.writerow(file_dict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_readibility(file_address, file_dict):\n",
    "    file = open(file_address, \"r\", encoding='utf-8', errors=\"ignore\")\n",
    "    document = file.read()\n",
    "    file_dict['flesch_reading_ease'] = textstat.flesch_reading_ease(document)\n",
    "    file_dict['flesch_kincaid_grade'] = textstat.flesch_kincaid_grade(document)\n",
    "    file_dict['linsear_write_formula'] = textstat.linsear_write_formula(document)\n",
    "    file_dict['dale_chall_readability_score'] = textstat.dale_chall_readability_score(document)\n",
    "    file_dict['mcalpine_eflaw'] = textstat.mcalpine_eflaw(document)\n",
    "    file_dict['reading_time']  = textstat.reading_time(document, ms_per_char=14.69)\n",
    "    file_dict['char_count'] = textstat.char_count(document, ignore_spaces=True)\n",
    "    file_dict['word_count'] = textstat.lexicon_count(document, removepunct=True)\n",
    "    return file_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "generate_file('020125_CONTRIBUTING_readability.csv', contributing_directory)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "generate_file('020125_README_readability.csv', readme_directory)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
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 }