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Excellent tutorial. The output is more straightforward and nicer than the "skimr" package. Thank you so much.
Glad it was helpful!
Fantastic ! Thank you very much.
Our pleasure!
Love this. Great way to get an initial feel for the data in a quick overview.
Great! I’m glad it’s helping you.
Awesome approach to descriptive statistics , thanks!
Excellent! Thanks!
Can we arrange a frequency table by frequencies or do we have to convert the Summarytools object into a tibble to accomplish that?
One question : How to save the resulting tables in csv or excel format
There’s a tb() function cran.r-project.org/web/packages/summarytools/vignettes/introduction.html#tidy-tables-tb
You'd have to convert the resulting table (a Summarytools Objects) into a tibble with the tb() function. Then, you can save that tibble as a csv or excel format.
@@jadiazc thanks
Where can I get this df
@@neroetal you just need to join the R tips newsletter. It’s in the R tip 84 folder. learn.business-science.io/r-tips-newsletter?el=youtube
Excellent tutorial. The output is more straightforward and nicer than the "skimr" package.
Thank you so much.
Glad it was helpful!
Fantastic ! Thank you very much.
Our pleasure!
Love this. Great way to get an initial feel for the data in a quick overview.
Great! I’m glad it’s helping you.
Awesome approach to descriptive statistics , thanks!
Excellent! Thanks!
Can we arrange a frequency table by frequencies or do we have to convert the Summarytools object into a tibble to accomplish that?
One question : How to save the resulting tables in csv or excel format
There’s a tb() function cran.r-project.org/web/packages/summarytools/vignettes/introduction.html#tidy-tables-tb
You'd have to convert the resulting table (a Summarytools Objects) into a tibble with the tb() function. Then, you can save that tibble as a csv or excel format.
@@jadiazc thanks
Where can I get this df
@@neroetal you just need to join the R tips newsletter. It’s in the R tip 84 folder. learn.business-science.io/r-tips-newsletter?el=youtube