Describe and Summarise your data

If you want to learn about to summarise your data by making tables in R or provide descriptive statistics of your dataset, then this video is for you. R programming provides more than one way to summarise and describe your data. You can use base R using, for example, the table() function, for example (and that is covered in this video). I prefer to use the Tidyverse packages that make it much easier (especially if you are a beginner) to create a summary or table. So if you are into data science or just needing to analyse some data, your starting point is descriptive statistics and summary tables before you move on to inferential statistics and modelling your data. This is an R programming for beginners video and I only use datasets that you have each access to.

[Shawn-gmcf]

To parrot others, you always have premium R content. Probably the only resource where I look forward to seeing it in my YouTube feed.

[Schmelena]

You really make the best R-videos. Always feel motivated to work with R after watching this. Thank you very much!

[opal-rh]

I hated R till I found your channel, I know there are a million comments telling you same thing but you are one of the best R teachers. I hope you are having a good day wherever you are in the world ❤

[makemymarket]

Imagine have you as a professor at the university, everyone would pass. Big thanks to you!

[coldwarifyful]

so far you have taught R in the best way. Please do the complete R tutorials with the aim of cracking a data analyst job. We really do not know what we need to cover as in for performing good at data analyst jobs. You can also make a video depicting an overall picture or syllabus for R, for different kind of analysis which will help us to know what all we have to learn to get a job as a DA first, and then take it from there. Please be consistent. You are amazing.

[data_kom]

I love your style of teaching. Your approach makes coding easy. Thanks for the great work you’re doing.

[matthewharvey]

The best educational R videos I have found on YouTube, thank you for the helpful information.

[franj]

Very well explained tutorial, as always. Please, keep posting new videos.

[dingaroo]

I should have gone through this set of videos months ago! Would have saved me many sleepless nights and project delay!

[aseelaraji]

Amazing way as Usual Thanks 🙏 keep up the great work looking forward for the next episode

[yizheng]

Thanks Greg, R Programming 101 is the best R programming tutorial I have ever found !

[rayk]

Great video - thanks very much! Thanks for explaining that last part slowly too.
One minor comment -> @10.02 I couldn't see your full console, so missed that there needed to be a close brackets, pipe operator before the 'arrange' function starts.

[kottelkannim]

A tidyverse implementation of

prop.table(table(AirBags, Origin))*100

is:

Cars93 %>%
group_by(AirBags, Origin) %>%
summarise(number = n()) %>%
ungroup() %>%
mutate(propor = round (number / sum(number), 3 )*100) %>%
pivot_wider(id_cols = "AirBags" , names_from = Origin,
values_from = propor)

or even a shorter one using *count()* to replace the aforementioned 2nd and 3rd rows :

Cars93 %>%
count(AirBags, Origin) %>%
mutate(propor = round (n / sum(n), 3 )*100) %>%
pivot_wider(id_cols = "AirBags" , names_from = Origin,
values_from = propor)

[jamesleleji]

Your videos are always illuminating and a great reference when working in R. Please do a tutorial on difference in differences using R. Thanks

[dopamining]

Really love the tutorials. Is there any chance there could be a playlist/video on user-defined functions and loops in the future? I'm finding it hard to find a good tutorial that goes through it all slowly. Cheers.

[roxisrocks]

You are an absolute rockstar, thank you very much. R is amazing, and you are an equally amazing teacher.

[fredrickombede]

The best place to learn R, I really enjoy. Thanks

[CaribouDataScience]

Thanks, one note if you use the summary() on a column that contains factors it will return the number of rows for each factors.

[frankjr]

Hi Greg - would it be possible to make a video on creating publication ready summary tables using r and r-markdown? Particularly summary statistics tables and regression tables

[ikeforshort]

I am so grateful you took the time to explain 'everything.' I paid for a course and only learned a fraction of what I'm learning with your videos. I would love to know how to change the UTC timestamp into a particular zone. I am working with a crime dataset and trying to figure out #1 what day of the week most occurred and what time they occurred. I've read numerous articles, but I need help understanding the concept. ♥