How to clean data - Cleaning outliers with Z-scores | R

In this informative tutorial, you'll learn how to deal with outliers in your data using z-scores, a powerful statistical tool commonly used in data analytics. Outliers can skew your results and lead to inaccurate conclusions, but by understanding z-scores and how to use them, you can identify and remove these problematic data points. This video will guide you through the process of calculating z-scores, interpreting their meaning, and applying them to your data using practical examples. Whether you're a data analyst, data scientist, or simply interested in data analytics, this video will equip you with a valuable skill to ensure the accuracy and reliability of your analyses. So, let's dive in and start dealing with those pesky outliers!

[@3bdullah3bdu]

great, plz for future videos change the size of font of R studio

[@jaydoesdata7097]

Hi, happy you liked the video! That's a good point about the font size, I'll make it larger for future videos :)