R Studio - Finding & Excluding Outliers via Boxplots

In today's video, I'll show how to find and remove (potential) outliers by means of boxplots. Some main points are -creating decent boxplots in R Studio -looking up the exact values for outliers -basic strategies for when & how to exclude outliers -removing outliers with a basic ifelse function and checking the results. Hope it helps! TIMESTAMPS: 00:54 brief description data file 01:28 minimal boxplot in R Studio 02:47 prettier boxplot in R Studio 05:08 when should you exclude (potential) outliers? 05:56 how should you exclude (potential) outliers? 07:00 count NA values per variable 08:32 find exact values for outliers 09:39 exclude outliers with elseif function 14:09 check if results are correct RESOURCES: Everything about boxplots: https://www.spss-tutorials.com/boxplot-what-is-it/ Download example data file from: https://www.statistics-made-simple.com/downloads/speedtask.csv Download finished R code from: https://www.statistics-made-simple.com/downloads/find-outliers-from-boxplots-01.R FOLLOW US: Website: https://www.statistics-made-simple.com Youtube: https://www.youtube.com/@statistics-made-simple/ LinkedIn: https://www.linkedin.com/company/statistics-made-simple/ Facebook: https://www.facebook.com/stats.made.simple #r #statistics