4 Examples of Using R Functions for Exploratory Data Analysis (EDA)

Video Description

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