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"import pandas as pd\n",
"from plotnine import ggplot, aes, geom_boxplot, stat_boxplot, theme, labs, element_blank, scale_color_manual, scale_fill_manual, geom_jitter, theme_gray\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import to_rgba\n",
"import seaborn as sns\n",
"import plotly.express as px"
],
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"end_time": "2026-04-09T13:16:04.741003Z",
"start_time": "2026-04-09T13:16:04.055170Z"
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"data_toy = pd.read_csv(\"toy.csv\")\n",
"data_toy[\"austrian\"] = data_toy[\"austrian\"].astype(bool)\n",
"data_toy[\"marital_status\"] = pd.Categorical(data_toy[\"marital_status\"], categories=[\"single\", \"divorced\", \"married\"])\n",
"data_toy[\"age_cat\"] = pd.Categorical(data_toy[\"age_cat\"], categories = [\"child\", \"adolescent\", \"adult\"], ordered = True)\n",
"\n",
"data_toy_plot = data_toy[[\"marital_status\", \"year_birth\"]].dropna()\n",
"data_toy_plot.head()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2026-04-09T13:16:04.765340Z",
"start_time": "2026-04-09T13:16:04.742680Z"
}
},
"id": "70a6f9aa6318fdce",
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