Great stuff. How about a video on how to "scrape" tables from a pdf file. I have checked out the tabulizer package (on a Mac) but it keeps bombing. Do you know of a neat way to extracting a table from document or publication that is embedded in text?
It was nice presentation I would like to see more advanced functions where we can pass character values with quotes and without quotes as arguments. I am getting confused with respect to when we are supposed to use the rlang package functions to evaluate character values with quotes and without quotes as arguments. Appreciate your help
Andrew, finding a name for a custom function is quite hard since there are many pre-existing functions such as keep_at(). I would therefore try some other different name. Great stuff by the way. Cheers.
I find your R functions lesson to be an excellent complement to the 2nd edition of R for Data Science. Your explanation goes deeper than that of R for Data Science while providing options not addressed in the book. I also wonder if you would consider a follow up lesson in which you illustrate R functions to clean a database.
Thank you! I have never been a maths person but decided I would do the google career certificate for data analysis which covers R programming language. Please continue to make these helpful and very easy to understand videos. Your content is much appreciated!!
