If a picture is worth a thousand words, then moving pictures can show even more. In this video, we’ll use some techniques with Pandas and Matplotlib to create a scatter plot that changes with time. This allows a viewer to identify time-based trends, as well as scale comparisons between data points, which is useful for high-level discovery. Animated visualizations are a nice tool for your analytics toolkit. Many thanks to the European Centre for Disease Prevention and Control for today’s dataset, which can be found here: https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide Also note that population figures are provided by the World Bank. Follow us on social media: https://www.facebook.com/mackenziedataanalytics/ https://twitter.com/seamacke https://www.instagram.com/seamacke/ https://www.reddit.com/user/seamacke https://www.linkedin.com/in/psmackenzie/ Get Microsoft Office including Access: https://click.linksynergy.com/fs-bin/click?id=BdGJecFFM8A&offerid=1160033.10004289&type=3&subid=0 Got a YouTube Channel? I use TubeBuddy, it is awesome. Give it a try: https://www.tubebuddy.com/seanmackenziedataengineering animated scatter plot python pandas matplotli data visualization python scatter plot python programming scatter diagram in python visualization with python matplotlib and pandas pandas plotting with matplotlib pandas scatter plot matplotlib scatter animation matplotlib scatter plot animation pandas scatter diagram pandas scatter matrix pandas scatter matrix plot example sean mackenzie