project 48 numpy_data_analysis_1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uLCELl_rhLSf"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.random.seed(0)\n",
        "\n",
        "data = np.random.normal(170, 10, 1000)\n",
        "\n",
        "beer2 = pd.DataFrame(data, columns=['Consumo de cerveja (litros)'])"
      ],
      "metadata": {
        "id": "SROvmCkHhaIh"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "random_sample =  beer2.sample(n=100)"
      ],
      "metadata": {
        "id": "ZDQ4E6V0h6Ge"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "k = len(beer2) // 100\n",
        "\n",
        "systematic_sample = beer2.iloc[::k]"
      ],
      "metadata": {
        "id": "eHJ_rL6viAFO"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "beer2['Temperatura Media (C)'] = pd.cut(beer2['Consumo de cerveja (litros)'], bins=3, labels=[\"Temperatura Minima (C)\", \"Temperatura Maxima (C)\", \"Precipitacao (mm)\"])\n",
        "\n",
        "stratified_sample = beer2.groupby('Temperatura Media (C)', group_keys=False).apply(lambda x: x.sample(frac=0.1))"
      ],
      "metadata": {
        "id": "9F-Pd6ydiGxf"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "beer2['Cluster'] = np.random.randint(0, 10, size=len(beer2))\n",
        "\n",
        "selected_clusters = np.random.choice(10, 2, replace=False)\n",
        "\n",
        "cluster_sample = beer2[beer2['Cluster'].isin(selected_clusters)].sample(n=100)"
      ],
      "metadata": {
        "id": "4KKkuY8ciuY7"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axs = plt.subplots(2, 2, figsize=(10, 5))\n",
        "\n",
        "axs = axs.flatten()\n",
        "\n",
        "axs[0].hist(beer2['Consumo de cerveja (litros)'], bins=20, color='grey', alpha=0.7, label='beer')\n",
        "axs[0].hist(random_sample['Consumo de cerveja (litros)'], bins=20, color='blue', alpha=0.7, label='Random Sample')\n",
        "axs[0].set_title('Random Sampling')\n",
        "axs[0].legend()\n",
        "\n",
        "\n",
        "axs[1].hist(beer2['Consumo de cerveja (litros)'], bins=20, color='grey', alpha=0.7, label='beer')\n",
        "axs[1].hist(systematic_sample['Consumo de cerveja (litros)'], bins=20, color='green', alpha=0.7, label='Systematic Sample')\n",
        "axs[1].set_title('Systematic Sampling')\n",
        "axs[1].legend()\n",
        "\n",
        "\n",
        "axs[2].hist(beer2['Consumo de cerveja (litros)'], bins=20, color='grey', alpha=0.7, label='beer')\n",
        "axs[2].hist(stratified_sample['Consumo de cerveja (litros)'], bins=20, color='red', alpha=0.7, label='Stratified Sample')\n",
        "axs[2].set_title('Stratified Sampling')\n",
        "axs[2].legend()\n",
        "\n",
        "\n",
        "axs[3].hist(beer2['Consumo de cerveja (litros)'], bins=20, color='grey', alpha=0.7, label='beer')\n",
        "axs[3].hist(cluster_sample['Consumo de cerveja (litros)'], bins=20, color='purple', alpha=0.7, label='Cluster Sample')\n",
        "axs[3].set_title('Cluster Sampling')\n",
        "axs[3].legend()\n",
        "\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 507
        },
        "id": "71JGo-RCi8Gr",
        "outputId": "6d993f4f-96fc-4feb-e7e8-717c4ea98d7b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 4 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}