Interactive COVID-19 data exploration with Jupyter notebooks

1 minute read comments

In these challenging times, we have all experienced the impact of the COVID-19 pandemic, either directly or through the measures taken to contain its spread. With an abundance of COVID-19 data available from public sources, I have developed a straightforward Jupyter notebook that enables the interactive exploration of this data. You can select the data from a specific country and visualize different aspects of the pandemic, such as the number of confirmed cases, the number of deaths, and number of vaccinations. The source of the data is a csv table provided by Please find the notebook in this GitHub repository and feel free to utilize and share it.

img The interactive COVID-19 data exploration notebook.

You can also run the notebook in Google Colab or Binder by clicking on one of the buttons below:

Open In Colab Binder

Here is the code:

import matplotlib.pyplot as plt
import ipywidgets as widgets
from IPython.display import display
import pandas as pd
import mplcursors

# Load data
url = ""
df = pd.read_csv(url)

# Create interactive widgets
country_dropdown = widgets.Dropdown(

columns_checkbox = widgets.SelectMultiple(
    value=['total_cases', 'new_cases'],

# Plotting function
def plot_data(country, columns):
    plt.figure(figsize=(7, 5))
    selected_data = df[df['location'] == country]
    for column in columns:
        plt.plot(selected_data['date'], selected_data[column], label=column.replace('_', ' ').title())
    plt.title(f'COVID-19 Data for {country}')

# Create interactive output
out = widgets.interactive_output(plot_data, {'country': country_dropdown, 'columns': columns_checkbox})

# Display widgets and output
display(country_dropdown, columns_checkbox, out)

For reproducibility:

conda create -n sir_model_covid19 -y python=3.9
conda activate sir_model_covid19
conda install -y mamba
mamba install -y pandas matplotlib numpy scipy scikit-learn ipykernel notebook ipympl mplcursors

If you have any questions or suggestions, feel free to leave a comment below.


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