Analyze Data Faster With R (Using Summarytools)

[@muhammedhadedy4570]

Excellent tutorial. The output is more straightforward and nicer than the "skimr" package.
Thank you so much.

[@BusinessScience]

Glad it was helpful!

[@HanySalem]

Fantastic ! Thank you very much.

[@BusinessScience]

Our pleasure!

[@makemymarket1772]

Awesome approach to descriptive statistics , thanks!

[@BusinessScience]

Excellent! Thanks!

[@vlemvlemvlem3659]

Love this. Great way to get an initial feel for the data in a quick overview.

[@BusinessScience]

Great! I’m glad it’s helping you.

[@jadiazc]

Can we arrange a frequency table by frequencies or do we have to convert the Summarytools object into a tibble to accomplish that?

[@HanySalem]

One question : How to save the resulting tables in csv or excel format

[@BusinessScience]

There’s a tb() function cran.r-project.org/web/packages/summarytools/vignettes/introduction.html#tidy-tables-tb

[@jadiazc]

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.

[@HanySalem]

@@jadiazc thanks

[@neroetal]

Where can I get this df

[@BusinessScience]

@@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