Python Seaborn - 7|All about SWARM PLOT using Seaborn in Python|STRIP PLOT vs SWARM PLOT

Python Seaborn - 7|All about SWARM PLOT using Seaborn in Python|STRIP PLOT vs SWARM PLOT|What is a SWARM PLOT|WHEN DO WE USE A SWARM PLOT|How to Create a SWARM PLOT in Python

This video covers:

00:00 - Introduction
00:16 - Why do we draw a SWARM PLOT|Usage of SWARM PLOT|When do we use a SWARM PLOT
01:02 - Comparision with Strip PLOT|Strip Plot VS SWARM PLOT|Differences between STRIP PLOT and SWARM PLOT
03:04 - Create a basic SWARM PLOT using one numeric variable
03:51 - Create a SWARM PLOT based on one or more than one categorical variable and one numeric variable using hue
05:51 - Showing HUE separatly on categorical axis using split agruement
06:46 - Styling a SWARM PLOT e.g. Changing the marker shape, it's color, size etc...
10:48 - Overlaying a SWARM PLOT on a BOX PLOT
11:59 - Overlaying a SWARM PLOT on a VIOLIN PLOT

You can download the excel files used in this video using:

You can download the script created in this video using:

Check out the BOX PLOT video using below link:

Check out the VIOLIN PLOT video using below link:

Seaborn Official website for count plot:

#python #pythonforbeginners #VisualizationInPython #seaborn #visualizationUsingSeaborn #SwarmPlotUsingSeaborn
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[cristianjavierrivasperez]

Is it possible to differentiate only one piece of data (with colour for example) from the rest?
I don't know, if I have explained myself well?