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 plotly.express as px

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

df1 = pd.read_csv('../input/aipowered-literature-review-csvs/kaggle/working/TIE/Pediatric patients who were asymptomatic.csv')

df1 = df1.rename(columns={'Unnamed: 0': 'unnamed1', 'Asymptomatic Proportion': 'asymptomatic1', 'Age': 'age'})

fig=sns.lmplot(x="asymptomatic1", y="unnamed1",data=df1)

df1_age = pd.DataFrame({'Date': df1.Date, 'age': df1.age})

fig = px.line(df1_age, x='Date', y='age', title='Pediatric Asymptomatic Patients ')
fig.show()