text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

data2015 = pd.read_csv('../input/2015.csv')
data2016 = pd.read_csv('../input/2016.csv')
data2017 = pd.read_csv('../input/2017.csv')

data2015.corr()

f,ax = plt.subplots(figsize=(18, 18))
sns.heatmap(data2015.corr(), annot=True, linewidths=.5, fmt= '.1f',ax=ax)
plt.show()

for each in data2015.columns:
    print(each)