{ "cells": [ { "cell_type": "markdown", "source": [ "# Visualizing Honey Production 🍯 🐝" ], "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", "