How to Clean Data in R Using RStudio

Cleaning data is one of the most essential parts in data analysis. In this video, we learn how to clean the variable names, remove empty rows and columns, and remove duplicate rows. The codes and materials are available at universeofdata...

[@Lifeis_cool]

This music gives us only anxiety. Please keep soothing and relevant background sounds. Thank you !

[@infamousprince88]

great video! Looking forward to more. Specifically for looking at the data types over columns and changing them to be able to do proper data manipulations

[@universeofdatascience]

Hi Joshua, thanks for your nice comment. There will be more videos on data manipulation. Keep following!

[@Sorjen108]

Great tutorial
I have a question, is tidyr same as janitor? Or do they each serve a specific purpose?
Thank you

[@universeofdatascience]

Thank you for sharing your comment on this video. While both of them are utilized in data cleaning, they are not exactly the same and have notable differences in functionality and usage. It is better to examine the vignettes or the manuals of these packages for a more in-depth understanding.

[@Sorjen108]

@@universeofdatascience Thank you for your response
So then it is eitherjanitor or tidyr when cleaning data?

[@jobekirkuk]

Thanks for sharing! i was trying to apply the first step, but i keep getting this error message! " Error in setwd("D:/Datascience") : cannot change working directory" ? any thoughts?

[@universeofdatascience]

Actually the data set we uploaded is within this directory. That is our working directory. You can use cleaning steps on your own data.

[@EveLevell]

Please make more videos :(

[@universeofdatascience]

Dear Sindi, thanks for your comment. There will be more informative videos. Keep on following!