{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# World Languages: 7,130 Languages Integrated\n",
    "\n",
    "Geographic coordinates, speaker populations, and language family classification from Glottolog, Ethnologue, and Joshua Project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "\n",
    "# Load the dataset\n",
    "with open('world_languages_integrated.json') as f:\n",
    "    data = json.load(f)\n",
    "\n",
    "print(f'Total languages: {len(data):,}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert to DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Top language families by number of languages\n",
    "if 'family' in df.columns:\n",
    "    family_counts = df['family'].value_counts().head(15)\n",
    "    print('Top 15 Language Families:')\n",
    "    print('=' * 40)\n",
    "    for family, count in family_counts.items():\n",
    "        print(f'{family}: {count:,} languages')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Languages with most speakers\n",
    "if 'speakers' in df.columns:\n",
    "    top_speakers = df.nlargest(20, 'speakers')[['name', 'speakers', 'family']]\n",
    "    print('Top 20 Languages by Speaker Count:')\n",
    "    print(top_speakers.to_string(index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Geographic coverage\n",
    "valid_coords = df[(df['latitude'].notna()) & (df['longitude'].notna())]\n",
    "print(f'Languages with coordinates: {len(valid_coords):,} ({len(valid_coords)/len(df)*100:.1f}%)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Sources\n",
    "\n",
    "| Source | Data Provided | License |\n",
    "|--------|--------------|--------|\n",
    "| Glottolog 4.8 | ISO codes, classification | CC-BY-4.0 |\n",
    "| Ethnologue | Coordinates, speakers | Summary data |\n",
    "| Joshua Project | Population data | Public API |"
   ]
  }
 ],
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