{ "cells": [ { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set_theme(style=\"darkgrid\")" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | state | \n", "start_year | \n", "end_year | \n", "value | \n", "
---|---|---|---|---|
0 | \n", "AP | \n", "1993 | \n", "1994 | \n", "5786664.0 | \n", "
1 | \n", "AP | \n", "1994 | \n", "1995 | \n", "6892337.0 | \n", "
2 | \n", "AP | \n", "1995 | \n", "1996 | \n", "7985358.0 | \n", "
3 | \n", "AP | \n", "1996 | \n", "1997 | \n", "9014743.0 | \n", "
4 | \n", "AP | \n", "1997 | \n", "1998 | \n", "9578227.0 | \n", "
\n", " | state | \n", "start_year | \n", "end_year | \n", "value | \n", "
---|---|---|---|---|
0 | \n", "AP | \n", "1993 | \n", "1994 | \n", "5786664.0 | \n", "
1 | \n", "AP | \n", "1994 | \n", "1995 | \n", "6892337.0 | \n", "
2 | \n", "AP | \n", "1995 | \n", "1996 | \n", "7985358.0 | \n", "
3 | \n", "AP | \n", "1996 | \n", "1997 | \n", "9014743.0 | \n", "
4 | \n", "AP | \n", "1997 | \n", "1998 | \n", "9578227.0 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
221 | \n", "WB | \n", "2018 | \n", "2019 | \n", "110205400.0 | \n", "
222 | \n", "WB | \n", "2019 | \n", "2020 | \n", "117909700.0 | \n", "
223 | \n", "WB | \n", "2020 | \n", "2021 | \n", "115582100.0 | \n", "
224 | \n", "WB | \n", "2021 | \n", "2022 | \n", "136392600.0 | \n", "
225 | \n", "WB | \n", "2022 | \n", "2023 | \n", "155499200.0 | \n", "
226 rows × 4 columns
\n", "