text_plain_output_1.png
import matplotlib.pyplot as plt

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

import scipy as scipy

import seaborn as sns

hosp = pd.read_csv('../input/mimic3d.csv')

hosp.dtypes

hosp.shape

scipy.stats.kurtosis(hosp.age)

hosp.isnull().sum()

plt.xticks(rotation=90)

plt.figure(figsize=(20, 20))
sns.heatmap(cbar=False, annot=True, data=hosp.corr() * 100, cmap='coolwarm')
plt.title('% Corelation Matrix')
plt.show()