electiva02_pythondatascience.ipynb

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      "source": [
        "# Librerías en ciencias de datos\n",
        "\n",
        "## Pandas"
      ],
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        "id": "fzWNkekL19G5"
      }
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      "source": [
        "import numpy as np #se importa la librería numpy con el alias 'np'\n",
        "import pandas as pd #se importa la librería pandas con el alias de 'pd'\n",
        "pd.__version__"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "En pandas hay dos estructuras de datos funcionales: las series y los DataFrames. Las series son un conjunto de datos en forma de diccionario en una sola fila. \n",
        "Para este curso, nos centraremos en esta última estructura de datos, que es un arreglo 2-D de datos etiquetados, imagine un DataFrame como una hoja de cálculo con filas y columnas\n",
        "![](https://media.geeksforgeeks.org/wp-content/uploads/finallpandas.png)\n",
        "\n",
        "En Pandas"
      ],
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        "id": "VQrr6l4B2qcz"
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        "area = pd.Series({'Bogota': 1636.35, 'Medellin': 382,\n",
        "                  'Cali': 619, 'Barranquilla': 154,\n",
        "                  'Cartagena': 572, 'Soledad': 67})\n",
        "pob = pd.Series({'Bogota': 8380801, 'Medellin': 2569007,\n",
        "                  'Cali': 2496346, 'Barranquilla': 1239804,\n",
        "                  'Cartagena': 1057767, 'Soledad': 700970, 'Cerete': 94935})"
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        "col = pd.DataFrame({'area':area, 'pob':pob})\n",
        "col"
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              "                 area      pob\n",
              "Barranquilla   154.00  1239804\n",
              "Bogota        1636.35  8380801\n",
              "Cali           619.00  2496346\n",
              "Cartagena      572.00  1057767\n",
              "Cerete            NaN    94935\n",
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        "col['densidad'] = col['pob'] / col['area']\n",
        "col"
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              "                 area      pob      densidad\n",
              "Barranquilla   154.00  1239804   8050.675325\n",
              "Bogota        1636.35  8380801   5121.643291\n",
              "Cali           619.00  2496346   4032.869144\n",
              "Cartagena      572.00  1057767   1849.243007\n",
              "Cerete            NaN    94935           NaN\n",
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        "temp = pd.Series({'Bogota': 19, 'Medellin': 25,\n",
        "                  'Cali': 28, 'Barranquilla': 30,\n",
        "                  'Cartagena': np.nan, 'Soledad': 31})\n",
        "temp"
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              "Bogota          19.0\n",
              "Medellin        25.0\n",
              "Cali            28.0\n",
              "Barranquilla    30.0\n",
              "Cartagena        NaN\n",
              "Soledad         31.0\n",
              "dtype: float64"
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              "Bogota          False\n",
              "Medellin        False\n",
              "Cali            False\n",
              "Barranquilla    False\n",
              "Cartagena        True\n",
              "Soledad         False\n",
              "dtype: bool"
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              "                 area      pob      densidad  temp\n",
              "Barranquilla   154.00  1239804   8050.675325  30.0\n",
              "Bogota        1636.35  8380801   5121.643291  19.0\n",
              "Cali           619.00  2496346   4032.869144  28.0\n",
              "Cartagena      572.00  1057767   1849.243007   NaN\n",
              "Cerete            NaN    94935           NaN   NaN\n",
              "Medellin       382.00  2569007   6725.149215  25.0\n",
              "Soledad         67.00   700970  10462.238806  31.0"
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Barranquilla</th>\n",
              "      <td>154.00</td>\n",
              "      <td>1239804</td>\n",
              "      <td>8050.675325</td>\n",
              "      <td>30.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bogota</th>\n",
              "      <td>1636.35</td>\n",
              "      <td>8380801</td>\n",
              "      <td>5121.643291</td>\n",
              "      <td>19.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cali</th>\n",
              "      <td>619.00</td>\n",
              "      <td>2496346</td>\n",
              "      <td>4032.869144</td>\n",
              "      <td>28.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cartagena</th>\n",
              "      <td>572.00</td>\n",
              "      <td>1057767</td>\n",
              "      <td>1849.243007</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cerete</th>\n",
              "      <td>NaN</td>\n",
              "      <td>94935</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Medellin</th>\n",
              "      <td>382.00</td>\n",
              "      <td>2569007</td>\n",
              "      <td>6725.149215</td>\n",
              "      <td>25.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Soledad</th>\n",
              "      <td>67.00</td>\n",
              "      <td>700970</td>\n",
              "      <td>10462.238806</td>\n",
              "      <td>31.0</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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        "outputId": "3a617355-29d0-44d2-f271-2b90d58363ce"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              area           pob      densidad       temp\n",
              "count     6.000000  6.000000e+00      6.000000   5.000000\n",
              "mean    571.725000  2.740782e+06   6040.303131  26.600000\n",
              "std     565.844231  2.868637e+06   3049.683187   4.827007\n",
              "min      67.000000  7.009700e+05   1849.243007  19.000000\n",
              "25%     211.000000  1.103276e+06   4305.062681  25.000000\n",
              "50%     477.000000  1.868075e+06   5923.396253  28.000000\n",
              "75%     607.250000  2.550842e+06   7719.293797  30.000000\n",
              "max    1636.350000  8.380801e+06  10462.238806  31.000000"
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              "      <th>area</th>\n",
              "      <th>pob</th>\n",
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              "      <th>temp</th>\n",
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              "  <tbody>\n",
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              "      <th>count</th>\n",
              "      <td>6.000000</td>\n",
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              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>571.725000</td>\n",
              "      <td>2.740782e+06</td>\n",
              "      <td>6040.303131</td>\n",
              "      <td>26.600000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>565.844231</td>\n",
              "      <td>2.868637e+06</td>\n",
              "      <td>3049.683187</td>\n",
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              "      <th>min</th>\n",
              "      <td>67.000000</td>\n",
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              "      <td>1849.243007</td>\n",
              "      <td>19.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>211.000000</td>\n",
              "      <td>1.103276e+06</td>\n",
              "      <td>4305.062681</td>\n",
              "      <td>25.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>477.000000</td>\n",
              "      <td>1.868075e+06</td>\n",
              "      <td>5923.396253</td>\n",
              "      <td>28.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>607.250000</td>\n",
              "      <td>2.550842e+06</td>\n",
              "      <td>7719.293797</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1636.350000</td>\n",
              "      <td>8.380801e+06</td>\n",
              "      <td>10462.238806</td>\n",
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          "height": 206
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      "execution_count": 40,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "                 area      pob      densidad  temp\n",
              "Bogota        1636.35  8380801   5121.643291  19.0\n",
              "Medellin       382.00  2569007   6725.149215  25.0\n",
              "Cali           619.00  2496346   4032.869144  28.0\n",
              "Barranquilla   154.00  1239804   8050.675325  30.0\n",
              "Soledad         67.00   700970  10462.238806  31.0"
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              "          const element = document.querySelector('#df-31f99ea0-5fda-45c9-a1e2-6a9ad8000d28');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
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              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 40
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      "cell_type": "code",
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      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 area      pob      densidad  temp\n",
              "Bogota        1636.35  8380801   5121.643291  19.0\n",
              "Medellin       382.00  2569007   6725.149215  25.0\n",
              "Cali           619.00  2496346   4032.869144  28.0\n",
              "Barranquilla   154.00  1239804   8050.675325  30.0\n",
              "Cartagena      572.00  1057767   1849.243007   0.0\n",
              "Soledad         67.00   700970  10462.238806  31.0"
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              "      <td>1636.35</td>\n",
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              "      <td>6725.149215</td>\n",
              "      <td>25.0</td>\n",
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              "      <th>Soledad</th>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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    {
      "cell_type": "code",
      "source": [
        "col.fillna(col.temp.mean())"
      ],
      "metadata": {
        "colab": {
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          "height": 269
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        "id": "BoDzixL2Hcvq",
        "outputId": "fd7f9eff-281e-46fa-927c-5eb905c7e7a4"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 area      pob      densidad  temp\n",
              "Barranquilla   154.00  1239804   8050.675325  30.0\n",
              "Bogota        1636.35  8380801   5121.643291  19.0\n",
              "Cali           619.00  2496346   4032.869144  28.0\n",
              "Cartagena      572.00  1057767   1849.243007  26.6\n",
              "Cerete          26.60    94935     26.600000  26.6\n",
              "Medellin       382.00  2569007   6725.149215  25.0\n",
              "Soledad         67.00   700970  10462.238806  31.0"
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              "      <td>28.0</td>\n",
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              "      <th>Soledad</th>\n",
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              "      <td>10462.238806</td>\n",
              "      <td>31.0</td>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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    {
      "cell_type": "code",
      "source": [
        "col[['temp']] = col[['temp']].fillna(col.temp.mean())\n",
        "col"
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          "height": 269
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        "id": "xKUXUuG1JL5S",
        "outputId": "05dbe65c-9224-4f64-e941-d77d2e97b3f9"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 area      pob      densidad  temp\n",
              "Barranquilla   154.00  1239804   8050.675325  30.0\n",
              "Bogota        1636.35  8380801   5121.643291  19.0\n",
              "Cali           619.00  2496346   4032.869144  28.0\n",
              "Cartagena      572.00  1057767   1849.243007  26.6\n",
              "Cerete            NaN    94935           NaN  26.6\n",
              "Medellin       382.00  2569007   6725.149215  25.0\n",
              "Soledad         67.00   700970  10462.238806  31.0"
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              "      <td>19.0</td>\n",
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              "      <td>25.0</td>\n",
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              "      <td>10462.238806</td>\n",
              "      <td>31.0</td>\n",
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              "  </svg>\n",
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              "      \n",
              "  <style>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9c0e915a-0dcb-4371-88b8-56f31013fec6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Seaborn \n",
        "Se trata de una librería de visualización de datos para Python desarrollada sobre matplotlib . Ofrece una interfaz de alto nivel para la creación de atractivas gráficas."
      ],
      "metadata": {
        "id": "KqQTzKi4LOmI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "WtgHCip7J2th"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Conjunto de datos: \n",
        "data = sns.load_dataset('iris')\n",
        "data.columns = [\"long_sepalo\", \"ancho_sepalo\", \"long_petalo\", \"ancho_petalo\", \"especie\"]"
      ],
      "metadata": {
        "id": "08zxC6vmLrnY"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "![](https://upload.wikimedia.org/wikipedia/commons/thumb/5/56/Kosaciec_szczecinkowaty_Iris_setosa.jpg/360px-Kosaciec_szczecinkowaty_Iris_setosa.jpg)\n",
        "![](https://upload.wikimedia.org/wikipedia/commons/thumb/4/41/Iris_versicolor_3.jpg/640px-Iris_versicolor_3.jpg)\n",
        "![](https://upload.wikimedia.org/wikipedia/commons/thumb/9/9f/Iris_virginica.jpg/590px-Iris_virginica.jpg)"
      ],
      "metadata": {
        "id": "ykEbilXTM2yT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "iris = pd.DataFrame(data)\n",
        "iris"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "yLMQs-rnM3qu",
        "outputId": "528a17ed-57f2-49d8-e0fb-c3258a422db4"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     long_sepalo  ancho_sepalo  long_petalo  ancho_petalo    especie\n",
              "0            5.1           3.5          1.4           0.2     setosa\n",
              "1            4.9           3.0          1.4           0.2     setosa\n",
              "2            4.7           3.2          1.3           0.2     setosa\n",
              "3            4.6           3.1          1.5           0.2     setosa\n",
              "4            5.0           3.6          1.4           0.2     setosa\n",
              "..           ...           ...          ...           ...        ...\n",
              "145          6.7           3.0          5.2           2.3  virginica\n",
              "146          6.3           2.5          5.0           1.9  virginica\n",
              "147          6.5           3.0          5.2           2.0  virginica\n",
              "148          6.2           3.4          5.4           2.3  virginica\n",
              "149          5.9           3.0          5.1           1.8  virginica\n",
              "\n",
              "[150 rows x 5 columns]"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>long_sepalo</th>\n",
              "      <th>ancho_sepalo</th>\n",
              "      <th>long_petalo</th>\n",
              "      <th>ancho_petalo</th>\n",
              "      <th>especie</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>6.7</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.3</td>\n",
              "      <td>virginica</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>6.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.9</td>\n",
              "      <td>virginica</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>6.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.0</td>\n",
              "      <td>virginica</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>6.2</td>\n",
              "      <td>3.4</td>\n",
              "      <td>5.4</td>\n",
              "      <td>2.3</td>\n",
              "      <td>virginica</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>5.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>virginica</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>150 rows × 5 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-be07b4e7-0205-492e-8e46-b5e5755bc7f9 button.colab-df-convert');\n",
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              "          const element = document.querySelector('#df-be07b4e7-0205-492e-8e46-b5e5755bc7f9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "iris.info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sDkT8kckQWNg",
        "outputId": "6b487493-9281-46ea-b377-2d0d77f698e2"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method DataFrame.info of      long_sepalo  ancho_sepalo  long_petalo  ancho_petalo    especie\n",
              "0            5.1           3.5          1.4           0.2     setosa\n",
              "1            4.9           3.0          1.4           0.2     setosa\n",
              "2            4.7           3.2          1.3           0.2     setosa\n",
              "3            4.6           3.1          1.5           0.2     setosa\n",
              "4            5.0           3.6          1.4           0.2     setosa\n",
              "..           ...           ...          ...           ...        ...\n",
              "145          6.7           3.0          5.2           2.3  virginica\n",
              "146          6.3           2.5          5.0           1.9  virginica\n",
              "147          6.5           3.0          5.2           2.0  virginica\n",
              "148          6.2           3.4          5.4           2.3  virginica\n",
              "149          5.9           3.0          5.1           1.8  virginica\n",
              "\n",
              "[150 rows x 5 columns]>"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "iris['especie'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rq3lEjorQbd5",
        "outputId": "1e69c12f-a757-437a-c788-11357768ed08"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "setosa        50\n",
              "versicolor    50\n",
              "virginica     50\n",
              "Name: especie, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%matplotlib inline\n",
        "#plt.style.use('classic')\n",
        "x_axis = iris['long_petalo']\n",
        "y_axis = iris['ancho_petalo']\n",
        "\n",
        "# plotting simple scattered plot\n",
        "plt.scatter(x_axis, y_axis)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "bTYkPIkKOFWc",
        "outputId": "96d6059b-dab5-4e34-b010-dc7a5b6036dc"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(x=x_axis, y=y_axis, hue=iris.especie, s=90)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "ikBr7GbdO3eG",
        "outputId": "1393027b-d5ff-4d14-f048-61e06d92d0d1"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2df96d2a90>"
            ]
          },
          "metadata": {},
          "execution_count": 75
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(data=iris)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 290
        },
        "id": "pcp0uNxjPQrF",
        "outputId": "f84dce6b-fea6-4547-ffde-5059c1924fa3"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2df9654640>"
            ]
          },
          "metadata": {},
          "execution_count": 76
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.jointplot(x=x_axis, y=y_axis, data=iris, size=5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "YKYda_i6QixE",
        "outputId": "686197d8-aff8-4f78-e04b-0516a7920f0f"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/seaborn/axisgrid.py:2182: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
            "  warnings.warn(msg, UserWarning)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.JointGrid at 0x7f2df94002b0>"
            ]
          },
          "metadata": {},
          "execution_count": 81
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(data=iris,kind='scatter', hue='especie')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 743
        },
        "id": "5U3sJNa_Q8dN",
        "outputId": "3a183db0-795b-45bc-fc07-05814e505b67"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7f2df64201f0>"
            ]
          },
          "metadata": {},
          "execution_count": 83
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 821.825x720 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Ejercicio 02\n",
        "### Realizar un ejercicio análogo con el conjunto de datos de SeaBorn **penguins**"
      ],
      "metadata": {
        "id": "LyRg8w3CNm7_"
      }
    }
  ]
}