(12) Cleaning strings in RStudio (substr and str_remove) скачать в хорошем качестве

(12) Cleaning strings in RStudio (substr and str_remove)

Hi there, this is number 12 in a YouTube playlist that will help you get started in RStudio with data analysis, visualisations, writing reports, making apps and much more. In this one, I show you how to abbreviate and clean column names and contents. First I make a random dataframe in R to work with for this purpose. This dataframe contains country names and YES / NO values. Random as always. Then I show you how to use substr (base r code) to abbreviate the strings, both in the names and the cells. I also use str_remove (stringr code) to remove bits from the column contents, which may be useful if you have numbers, symbols or anything else in your cells that you want to take out. For big datasets, code like substr and str_remove can prove to be a massive blessing. I recorded this using Screen Recorder Plus. My website is https://jordycoding.com/ Or feel free to email me anytime at jordangrigor@gmail.com [I'm always looking for cool projects!] Please comment what you'd like to see next. All my scripts are available on request - keep coding! 💻📊📈 #RStudio #coding #data #jordycoding #science #programmingbasics #dataanalysis #datascience #datascienceskills #statistics #workfromhome #excel #skills #graphs #datacleaning