In [1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

%matplotlib inline

In [2]:
df = pd.read_csv('~/Downloads/coffee-stats.csv')

In [3]:
df.head()


Out[3]:
Domain Code Domain Country Code Country Element Code Element Item Code Item Year Code Year Unit Value Flag Flag Description
0 CC Food Supply - Crops Primary Equivalent 256 Luxembourg 645 Food supply quantity (kg/capita/yr) 2630 Coffee and products 2013 2013 kg 24.48 Fc Calculated data
1 CC Food Supply - Crops Primary Equivalent 67 Finland 645 Food supply quantity (kg/capita/yr) 2630 Coffee and products 2013 2013 kg 12.34 Fc Calculated data
2 CC Food Supply - Crops Primary Equivalent 120 Lao People's Democratic Republic 645 Food supply quantity (kg/capita/yr) 2630 Coffee and products 2013 2013 kg 10.71 Fc Calculated data
3 CC Food Supply - Crops Primary Equivalent 210 Sweden 645 Food supply quantity (kg/capita/yr) 2630 Coffee and products 2013 2013 kg 10.10 Fc Calculated data
4 CC Food Supply - Crops Primary Equivalent 54 Denmark 645 Food supply quantity (kg/capita/yr) 2630 Coffee and products 2013 2013 kg 9.54 Fc Calculated data

In [ ]: