In this video, I will show you four examples of Exploratory data analysis (EDA) using R.
EDA is a critical data analysis technique that can help you identify important insights in your data.
I will explain the most important functions, that will equip you to identify important patterns in your data and make better decisions based on it.
⏱ Time Stamps ⌚
0:00 - Intro
1:28 - mtcars
10:47 - gapminder
20:28 - movie_profits
22:38 - diamonds
27:12 - EDA outro
External Links:
https://www.r-bloggers.com/2019/08/keeping-up-with-tidyverse-functions-using-tidy-tuesday-screencasts/
https://www.youtube.com/@safe4democracy/streams
https://github.com/tacookson/data-screencasts/tree/master/screencast-annotations
https://docs.google.com/spreadsheets/d/1pjj_G9ncJZPGTYPkR1BYwzA6bhJoeTfY2fJeGKSbOKM/edit#gid=444382177
Movie profits: https://youtu.be/cBflmxe3b24
R-Gallery playlist: https://youtube.com/playlist?list=PLXh6lfhmUVivZh1MtGz2ROxPaISA_JU6t
