Python Seaborn - 14|JOINT PLOT|Understanding What a JOINT PLOT is and How to Creat it Using Seaborn

Python Seaborn - 14|JOINT PLOT|Understanding What a JOINT PLOT is and How to Creat it Using Seaborn in Python|When and How to use a JOINT PLOT

In ths video we have covered:-

00:00 - Introduction
00:06 - What is a Joint Plot and how does it help in analysis
01:39 - Default arguement accepted in Joint Plot function
02:30 - Creating a basic JOINT PLOT
03:44 - Changing the Plot kind in a JOINT PLOT to SCATTER, KDE, HIS, HEX, REG or RESID plot
05:10 - Categorization in a JOINT PLOT basis on the value of a categorical variable using Hue arguement
06:03 - Changing the overall formating/style in a JOINT PLOT
07:40 - Changing the format of individual plots in a JOINT PLOT|Changing the format/style of Relational and Marginal Distribution plot separatly in a JOINT PLOT
10:22 - Adjusting Height, Ratio and Space in a JOINT PLOT
12:47 - Adding Y axis to the Marginal Distribution Plot in a JOINT PLOT| Showing/Hiding the Marginal Ticks of a Distribution Plot in a JOINT PLOT
13:24 - Creating KDE and RUG Plot on top of the JOINT PLOT

You can check out the -

You can download the script used in this video from the GitHub page using below -

#python #pythonforbeginners #VisualizationInPython #seaborn #visualizationUsingSeaborn #JointPlotUsingSeaborn #Learnerea

[pertuniamaduna]

Thank you so much, I have been using your explanations to do my Cap Stone project and it's been helpful.