Jupitep_Terekhov/.ipynb_checkpoints/week2_analysis-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f75fc25e-b87f-4a3f-b3da-0a5ede79d5da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='year', ylabel='Count'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "df = pd.DataFrame(pd.read_csv(\"ged171.csv\"))\n",
    "df.head()\n",
    "df.describe()\n",
    "\n",
    "sns.histplot(df[\"year\"] )\n",
    "# sns.scatterplot(df[\"region\"])\n",
    "# scatterplot\n",
    "# boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5217b30d-e7f4-4bf6-b728-0bec5e467a93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='years'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "df = pd.DataFrame(pd.read_csv(\"ged171.csv\"))\n",
    "\n",
    "data = { \"years\": df[\"year\"], \"deaths\": df['best']}\n",
    "new_df = pd.DataFrame(data)\n",
    "\n",
    "a = new_df.groupby(\"years\").sum()\n",
    "sns.scatterplot(a)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0bb4c3f8-e9b8-47ba-9fe6-63a1bb13b098",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='region', ylabel='best'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "df = pd.DataFrame(pd.read_csv(\"ged171.csv\"))\n",
    "\n",
    "sns.boxplot(\n",
    "    x=\"region\", \n",
    "    y=\"best\", \n",
    "    data=df,\n",
    "    \n",
    ")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c7d18c9-b454-419c-94cb-e015ca4c4f35",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}