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

df = pd.read_csv('../input/aipowered-literature-review-csvs/kaggle/working/TIE/Proportion of patients who were asymptomatic.csv')

df = df.rename(columns={'Unnamed: 0': 'unnamed', 'Asymptomatic Proportion': 'asymptomatic'})

dfcorr = df.corr()
dfcorr
plt.figure(figsize=(10, 4))
sns.heatmap(df.corr(), annot=False, cmap='summer')
plt.show()