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What’s Next?

This example visualizes the confirmed COVID-19 case dataset, but you may try yourself to apply this method for visualizing the COVID-19 death case and recovered case dataset as well.

For more information about plotting the animation choropleth map with plotly, check the full documentation here. If you want to change the color scale, you can simply choose the built-in color scale from here. Apply better color symbology rule. Try to create other map types such as scatter maps or heat maps by checking from the Plotly map gallery here.

Alternatively, you may check how to visualize COVID-19 data in Kepler.gl a geospatial analysis tool for visualization dynamic data through this article.

This article introduces you to how to prepare datasets and create Map Animation with Plotly Express in an easy way. I hope you like this article. Feel free to left messages here or talk with me on LinkedIn if you have any comments, questions.

Be Safe and Healthy! Thank you for Reading. 👋😄

Find more of my articles here:

https://medium.com/@JoeTS

[1] Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., Cao, Z., Wang, J., Yuan, W., Zhu, Y., Song, C., Chen, J., Xu, J., Li, F., Ma, T., Jiang, L., Yan, F., Yi, J., Hu, Y., … Xiao, H. (2020). COVID-19: Challenges to GIS with Big Data. Geography and Sustainability, 1(1), 77–87. https://doi.org/10.1016/j.geosus.2020.03.005



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