Seaborn ecdfplot | What is an ECDF plot? And how to code an ECDF plot in Python seaborn

Video Description

Learn about the ECDF plot, a new distribution plot in Python seaborn. We begin answering, "What is an ecdfplot?" and seeing an animated illustration explanation of the ecdf plot, which stands for empirical cumulative distribution function. We then talk about the advantages of using an ecdfplot instead of other distribution plots like histograms or KDE plots along with a few disadvantages. Next, I demonstrate the basics of the seaborn ecdfplot code. I also show you a few additional options like using the ecdfplot hue to represent multiple seaborn distribution plots on your figure. You'll also see how you can switch to raw counts instead of proportions on your ecdfplot. I also show you how to combine seaborn ecdfplot count with complementary to rank your observations. And you can also learn how to use seaborn ecdf plot weights to weight some some observations more heavily than others. Finally, we take a look at some styling for the Python seaborn ecdfplot including updating the palette, changing the line width, and updating the legend. 0:00 What is an ecdfplot? 0:38 Animated Explanation 2:49 ecdfplot Advantages and Disadvantages 3:35 ecdfplot Code Basics 7:48 Additional Options: hue 9:55 count and complementary 11:19 ecdf plot weights 12:48 Styling 15:23 BLOOPERS!! Github CODE: https://github.com/kimfetti/Videos/blob/master/Seaborn/24_ecdfplot.ipynb Related VIDEOS: Seaborn histplot -- https://youtu.be/Bjz00ygERxY Seaborn KDEplot -- https://youtu.be/DCgPRaIDYXA Seaborn displot -- https://youtu.be/4DA_dgc521o Full Intro to Seaborn PLAYLIST -- https://www.youtube.com/playlist?list=PLtPIclEQf-3cG31dxSMZ8KTcDG7zYng1j #seaborn #dataviz