Thank you. I am glad you liked it. I will do more videos into the direction of data manipulation, base and dplyr R-functions and data exploration in the near future.
Thanks you, that's the purpose. Let me know if you want some specific topics covered or if you find something that I could have explained better. Always try to get better :)
Awesome! That is a great trick piping into the table() and converting the output into a dataframe. I always wanted to use pivot_wider() to get proportions similar to base R prop.table() or crosstab. I got stuck, but now, where you summarize and get the mean I could instead get percentagem = n/sum(n)*100 and then proceed to pivot_wider() and get the proportion table. Am I right? As always I find your tutorials informative and surely commendable.
Amazing video, thanks!
Thank you. I am glad you liked it. I will do more videos into the direction of data manipulation, base and dplyr R-functions and data exploration in the near future.
@@TheDataDigest i Will stay tuned
Aggregation and pivoting are super central concepts in analysis. Neat summary!
Your videos are always very useful. Thank you!
Thanks you, that's the purpose. Let me know if you want some specific topics covered or if you find something that I could have explained better. Always try to get better :)
Awesome! That is a great trick piping into the table() and converting the output into a dataframe. I always wanted to use pivot_wider() to get proportions similar to base R prop.table() or crosstab. I got stuck, but now, where you summarize and get the mean I could instead get percentagem = n/sum(n)*100 and then proceed to pivot_wider() and get the proportion table. Am I right?
As always I find your tutorials informative and surely commendable.