Interactive Data Visualization for exploring Coronavirus Spreads

altair-data-visualization.py

import pandas as pd
import altair as alt

# Load data
full_clean_data = pd.read_csv('covid_19_clean_complete.csv', parse_dates=['Date'])

# Select a list of countries
countries = ['US', 'Italy', 'China', 'Spain', 'France', 'Iran', 'United Kingdom', 'Switzerland']
selected_data = full_clean_data[full_clean_data['Country/Region'].isin(countries)]

interval = alt.selection_interval()

circle = alt.Chart(selected_data).mark_circle().encode(
    x='monthdate(Date):O',
    y='Country/Region',
    color=alt.condition(interval, 'Country/Region', alt.value('lightgray')),
    size=alt.Size('New cases:Q',
        scale=alt.Scale(range=[0, 3000]),
        legend=alt.Legend(title='Daily new cases')
    ) 
).properties(
    width=1000,
    height=300,
    selection=interval
)

bars = alt.Chart(selected_data).mark_bar().encode(
    y='Country/Region',
    color='Country/Region',
    x='sum(New cases):Q'
).properties(
    width=1000
).transform_filter(
    interval
)

circle & bars