{ "cells": [ { "cell_type": "markdown", "source": [ "# تصور إنتاج العسل 🍯 🐝\n" ], "metadata": {} }, { "cell_type": "code", "execution_count": 177, "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "honey = pd.read_csv('../../../data/honey.csv')\n", "honey.head()" ], "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " state numcol yieldpercol totalprod stocks priceperlb \\\n", "0 AL 16000.0 71 1136000.0 159000.0 0.72 \n", "1 AZ 55000.0 60 3300000.0 1485000.0 0.64 \n", "2 AR 53000.0 65 3445000.0 1688000.0 0.59 \n", "3 CA 450000.0 83 37350000.0 12326000.0 0.62 \n", "4 CO 27000.0 72 1944000.0 1594000.0 0.70 \n", "\n", " prodvalue year \n", "0 818000.0 1998 \n", "1 2112000.0 1998 \n", "2 2033000.0 1998 \n", "3 23157000.0 1998 \n", "4 1361000.0 1998 " ], "text/html": [ "
\n", " | state | \n", "numcol | \n", "yieldpercol | \n", "totalprod | \n", "stocks | \n", "priceperlb | \n", "prodvalue | \n", "year | \n", "
---|---|---|---|---|---|---|---|---|
0 | \n", "AL | \n", "16000.0 | \n", "71 | \n", "1136000.0 | \n", "159000.0 | \n", "0.72 | \n", "818000.0 | \n", "1998 | \n", "
1 | \n", "AZ | \n", "55000.0 | \n", "60 | \n", "3300000.0 | \n", "1485000.0 | \n", "0.64 | \n", "2112000.0 | \n", "1998 | \n", "
2 | \n", "AR | \n", "53000.0 | \n", "65 | \n", "3445000.0 | \n", "1688000.0 | \n", "0.59 | \n", "2033000.0 | \n", "1998 | \n", "
3 | \n", "CA | \n", "450000.0 | \n", "83 | \n", "37350000.0 | \n", "12326000.0 | \n", "0.62 | \n", "23157000.0 | \n", "1998 | \n", "
4 | \n", "CO | \n", "27000.0 | \n", "72 | \n", "1944000.0 | \n", "1594000.0 | \n", "0.70 | \n", "1361000.0 | \n", "1998 | \n", "