{ "cells": [ { "cell_type": "markdown", "source": [ "# Visualizando la producci贸n de miel 馃嵂 馃悵\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", "