YouTube Excerpt: Marginal Distribution (Density) plots are a way to extend your numeric data with side plots that highlight the density (histogram or boxplots work too). Marginal Distribution Plots were made popular with the seaborn jointplot() in Python. They can now be made in R using #ggside, an new #ggplot2 extension! You can make linear regression with marginal distributions using histograms, densities, box plots, and more. Bonus - The side panels are super customizable for uncovering complex relationships. GET THE CODE SHOWN IN THE VIDEO: π° Free R-Tips Newsletter (FREE R GitHub Code Access): https://learn.business-science.io/r-tips-newsletter πΊ Set Up Your R-Tips Codebase (GitHub Video) https://youtu.be/F7aYV0RPyD0 Are you ready to get a job, make a data science transition, and accelerate your career? Then read on! πFREE R-TRACK MASTERCLASS: https://learn.business-science.io/free-rtrack-masterclass MY COURSES WILL SKYROCKET π YOUR CAREER IN WEEKS: π R for Business Analysis Course | DS4B 101-R (Learn ggplot2, dplyr, tidyverse, tidymodels, & rmarkdown) https://university.business-science.io/p/ds4b-101-r-business-analysis-r πThe 5-Course R-Track Program (Full System, Beginner to Expert, 12-18 months FASTER than other online programs) https://university.business-science.io/p/5-course-bundle-machine-learning-web-apps-time-series/ TABLE OF CONTENTS 00:00 Introduction to ggside 00:25 GitHub Project Setup 01:13 Libraries: ggside, tidyverse, tidyquant 01:42 Data - mpg dataset 02:13 Plot 1 - Side-Density Plot with Scatterplot Main 06:26 Plot 2 - Faceted Main Plot with Side-Boxplot 07:58 Learning more (DS4B 101-R Course): https://university.business-science.io/p/ds4b-101-r-business-analysis-r
Marginal Distribution (Density) plots are a way to extend your numeric data with side plots that highlight the density (histogram or boxplots work...
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