CCN 2023 analysis notebook

ccn23_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "79665ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fe78e337",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.genfromtxt('CCN23_ratings.csv', delimiter=',', skip_header=1, dtype=str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b7debf1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "reviewer, paper, clarity, impact = data.T\n",
    "clarity = np.array(clarity, dtype=float)\n",
    "impact = np.array(impact, dtype=float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "88381f42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(clarity, bins=50);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f62e67d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(impact, bins=50);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "99ba8b14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C_mu=0.64, C_std=0.24, I_mu=0.57, I_std=0.22\n",
      "\n",
      "Impact mean percentile: 0.50\n",
      "Clarity mean percentile: 0.65\n",
      "\n",
      "Impact std percentile: 0.65\n",
      "Clarity std percentile: 0.68\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def clarity_impact(paper_id):\n",
    "    return clarity[paper==paper_id], impact[paper==paper_id]\n",
    "\n",
    "def stats_for(paper_id):\n",
    "    C, I = clarity_impact(paper_id)\n",
    "    return C.mean(), C.std(), I.mean(), I.std()\n",
    "\n",
    "def summarise(paper_id):\n",
    "    C, I = clarity_impact(paper_id)\n",
    "    C_mu, C_std, I_mu, I_std = stats_for(paper_id)\n",
    "    print(f'{C_mu=:.2f}, {C_std=:.2f}, {I_mu=:.2f}, {I_std=:.2f}')\n",
    "    print()\n",
    "    print(f'Impact mean percentile: {(I_mu>all_I_mu).mean():.2f}')\n",
    "    print(f'Clarity mean percentile: {(C_mu>all_C_mu).mean():.2f}')\n",
    "    print()\n",
    "    print(f'Impact std percentile: {(I_std>all_I_std).mean():.2f}')\n",
    "    print(f'Clarity std percentile: {(C_std>all_C_std).mean():.2f}')\n",
    "\n",
    "    plt.figure(figsize=(8, 4))\n",
    "    \n",
    "    plt.subplot(231)\n",
    "    plt.hist(all_I_mu, bins=20)\n",
    "    plt.axvline(I_mu, c='r', lw=2)\n",
    "    plt.xlabel('Mean impact per-paper')\n",
    "\n",
    "    plt.subplot(232)\n",
    "    plt.hist(all_I_std, bins=20)\n",
    "    plt.axvline(I_std, c='r', lw=2)\n",
    "    plt.xlabel('Std impact per-paper')\n",
    "\n",
    "    plt.subplot(234)\n",
    "    plt.hist(all_C_mu, bins=20)\n",
    "    plt.axvline(C_mu, c='r', lw=2)\n",
    "    plt.xlabel('Mean clarity per-paper')\n",
    "\n",
    "    plt.subplot(235)\n",
    "    plt.hist(all_C_std, bins=20)\n",
    "    plt.axvline(C_std, c='r', lw=2)\n",
    "    plt.xlabel('Std clarity per-paper')\n",
    "    \n",
    "    plt.subplot(233)\n",
    "    plt.scatter(clarity, impact, marker='.', c='lightgray', s=1)\n",
    "    plt.scatter(C, I, marker='o', c='darkred', s=3)\n",
    "    plt.xlabel('Clarity (per-reviewer)')\n",
    "    plt.ylabel('Impact (per-reviewer)')\n",
    "\n",
    "    plt.tight_layout()    \n",
    "\n",
    "paper_ids = np.unique(paper)\n",
    "\n",
    "all_C_mu, all_C_std, all_I_mu, all_I_std = np.array(list(map(stats_for, paper_ids))).T\n",
    "\n",
    "paper_id = paper[np.random.randint(len(paper))]\n",
    "summarise(paper_id)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:scipy]",
   "language": "python",
   "name": "conda-env-scipy-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}