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20 - Splitting a dataframe column into multiple ones #shorts [Julia & R programming]
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#shorts #julialang #julia #programming #dataframes #rprogrammingforbeginners #rprogrammingforbeginners
Are you looking for an easy way to split up a single column, the "dimensions" column in our case, into three separate columns in R and Julia? Well, it's simple! In R, all you have to do is use dplyr's separate() function, while in Julia, you can simply use select() with the Not() column selector to select all the columns except for the ones that need to be removed in combination with the pairing symbol.
Ladies Freiburg (Kyla McConnell and Julia Müller) - Tidy Data: Zero to sHero {Part 2}:
R-Ladies material on github:
Are you looking for an easy way to split up a single column, the "dimensions" column in our case, into three separate columns in R and Julia? Well, it's simple! In R, all you have to do is use dplyr's separate() function, while in Julia, you can simply use select() with the Not() column selector to select all the columns except for the ones that need to be removed in combination with the pairing symbol.
Ladies Freiburg (Kyla McConnell and Julia Müller) - Tidy Data: Zero to sHero {Part 2}:
R-Ladies material on github:
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