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Created May 15, 2023 14:46
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Penguins.ipynb
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{
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"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyO4Wz5R5xAAeQ7lOJz4046Z",
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"name": "python3",
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"name": "python"
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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
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"source": [
"<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/fc3a2706aa518cb3b50410c87dc26fbc/penguins.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"## Palmer Penguins\n",
"\n",
"This dataset is coming from [palmerpenguins](https://allisonhorst.github.io/palmerpenguins/)."
],
"metadata": {
"id": "0ZmfNP2Q37Sc"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "G8IAltTj3RSn"
},
"outputs": [],
"source": [
"import statsmodels.api as sm\n",
"\n",
"penguins_data = sm.datasets.get_rdataset(\"penguins\", \"modeldata\")\n",
"penguins = penguins_data.data"
]
},
{
"cell_type": "code",
"source": [
"penguins.head()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "XZoNx32b3mjc",
"outputId": "ac42881b-5001-420e-a44c-3be5bee6c3fe"
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"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" species island bill_length_mm bill_depth_mm flipper_length_mm \\\n",
"0 Adelie Torgersen 39.1 18.7 181.0 \n",
"1 Adelie Torgersen 39.5 17.4 186.0 \n",
"2 Adelie Torgersen 40.3 18.0 195.0 \n",
"3 Adelie Torgersen NaN NaN NaN \n",
"4 Adelie Torgersen 36.7 19.3 193.0 \n",
"\n",
" body_mass_g sex \n",
"0 3750.0 male \n",
"1 3800.0 female \n",
"2 3250.0 female \n",
"3 NaN NaN \n",
"4 3450.0 female "
],
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>species</th>\n",
" <th>island</th>\n",
" <th>bill_length_mm</th>\n",
" <th>bill_depth_mm</th>\n",
" <th>flipper_length_mm</th>\n",
" <th>body_mass_g</th>\n",
" <th>sex</th>\n",
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" <td>Adelie</td>\n",
" <td>Torgersen</td>\n",
" <td>39.1</td>\n",
" <td>18.7</td>\n",
" <td>181.0</td>\n",
" <td>3750.0</td>\n",
" <td>male</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Adelie</td>\n",
" <td>Torgersen</td>\n",
" <td>39.5</td>\n",
" <td>17.4</td>\n",
" <td>186.0</td>\n",
" <td>3800.0</td>\n",
" <td>female</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Adelie</td>\n",
" <td>Torgersen</td>\n",
" <td>40.3</td>\n",
" <td>18.0</td>\n",
" <td>195.0</td>\n",
" <td>3250.0</td>\n",
" <td>female</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Adelie</td>\n",
" <td>Torgersen</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Adelie</td>\n",
" <td>Torgersen</td>\n",
" <td>36.7</td>\n",
" <td>19.3</td>\n",
" <td>193.0</td>\n",
" <td>3450.0</td>\n",
" <td>female</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",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
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" "
]
},
"metadata": {},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "7nK_i4e33qij"
},
"execution_count": null,
"outputs": []
}
]
}
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