notebooks/06-estatisticas_dos_dados.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings = pd.read_csv('../dados/ratings.csv')\n",
    "movies = pd.read_csv('../dados/movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A média de avaliações do filme Toy Story (1995) é 3.92\n",
      "A média de avaliações do filme Jumanji (1995) é 3.43\n",
      "O desvio padrão das avaliações do filme Toy Story é 0.83\n",
      "O desvio padrão das avaliações do filme Jumanji é 0.88\n"
     ]
    }
   ],
   "source": [
    "movie1_name = movies.query('movieId == 1')[\"title\"].values[0]\n",
    "movie2_name = movies.query('movieId == 2')[\"title\"].values[0]\n",
    "\n",
    "movie1_ratings = ratings.query('movieId == 1')[\"rating\"]\n",
    "movie2_ratings = ratings.query('movieId == 2')[\"rating\"]\n",
    "\n",
    "movie1_ratings_mean = np.mean(movie1_ratings)\n",
    "movie2_ratings_mean = np.mean(movie2_ratings)\n",
    "\n",
    "movie1_ratings__standard_deviation = np.std(movie1_ratings)\n",
    "movie2_ratings_standard_deviation = np.std(movie2_ratings)\n",
    "\n",
    "print(f\"A média de avaliações do filme {movie1_name} é {movie1_ratings_mean:.2f}\")\n",
    "print(f\"A média de avaliações do filme {movie2_name} é {movie2_ratings_mean:.2f}\")\n",
    "\n",
    "print(f\"O desvio padrão das avaliações do filme Toy Story é {movie1_ratings__standard_deviation:.2f}\")\n",
    "print(f\"O desvio padrão das avaliações do filme Jumanji é {movie2_ratings_standard_deviation:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 4))\n",
    "plt.boxplot([movie1_ratings, movie2_ratings], labels=[movie1_name, movie2_name])\n",
    "plt.title(f\"Distribuição de avaliações dos filmes {movie1_name} e {movie2_name}\")\n",
    "plt.grid(axis='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\holo_\\AppData\\Local\\Temp\\ipykernel_10600\\2895394732.py:6: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ).set(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 4))\n",
    "sns.boxplot(\n",
    "    data=ratings.query('movieId in [1, 2]'),\n",
    "    x='movieId',\n",
    "    y='rating',\n",
    ").set(\n",
    "    xticklabels=[movie1_name, movie2_name],\n",
    "    xlabel='', \n",
    "    ylabel='Nota'\n",
    ")\n",
    "plt.title(f\"Distribuição de avaliações dos filmes {movie1_name} e {movie2_name}\")\n",
    "plt.grid(axis='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Há 9586 filmes com menos de 100 avaliações.\n"
     ]
    }
   ],
   "source": [
    "# Há filmes com poucas avaliações, o que pode enviesar sua média devido a pouca amostragem\n",
    "movies_with_one_rating = ratings.groupby('movieId').count().query(\"rating < 100\").shape[0]\n",
    "print(f\"Há {movies_with_one_rating} filmes com menos de 100 avaliações.\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}