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 [ ]:
Content source: facemelters/data-science
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