16 - Filtering out DataFrame Rows with anonymous functions #shorts [Julia & R programming]

#shorts

Filtering out dataframe rows sets R and Julia apart in terms of both notation and implementation. R uses filter() and a vectorized condition to extract rows. Julia, on the other hand, has a multitude of ways of extracting these rows. Julia's filter() function takes an anonymous function as its first argument and the dataframe name in the second position...

Link to the ikea dataset: https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-11-03/ikea.csv

Ladies Freiburg (Kyla McConnell and Julia Müller) - Tidy Data: Zero to sHero {Part 2}: https://www.youtube.com/watch?v=ivSgLWKhNrw

R-Ladies material on github: https://github.com/rladies/meetup-presentations_freiburg/tree/master/2021-02-17_tidydata_ZerotoShero ... https://www.youtube.com/watch?v=eO2LJITDOXA