TidyTuesday: A Brief Overview of Dplyr and Tidyr

In this week's #TidyTuesday video, I go over the basics of Dpylr and Tidyr. I explain the differences between the two packages and how they interact with each other in a Data Science workflow. I then go over the most commonly used functions from each package.

#Tidyverse #DataScience

[TRXWentCold]

This video was very helpful to see the basics broken down for these packages. Thanks!

[Adam-ptdd]

Good work Andrew, this is the video I wish I had when I started.

[eddie]

Thanks, Andrew. Your segment on "one-hot encoding" at 8:30 was an absolute game changer for the genomic data I analyse and has saved me countless hours of tedious work. Keep up the amazing content - big fan!

[rank]

Great video, i've been using r for about 1 year now and some of the functions you explained were a completly new to me.

[happytrailsrm]

Awesome video! Coming from Excel this is great info, the portion about case statements is very helpful. Looking forward to the future content.

[haraldurkarlsson]

Andrew,

Unless my eyes are getting wonky but it looks like there is an error in the example with the time series using the economics data. The two columns - unemploy and prev_unemploy are exactly the same. Should not the value for the first month just be default = 2944?

[shreyaroraa]

Andrew how you count distinct observation by column here

[hemnfarhad]

When I try to set the default to "unemploy". It gives an error saying default must be size 1 not 574. any ideas as to why is this happening?

Here is my code:
economics %>%
select(date, unemploy) %>%
mutate(prev_unemploy = lag(unemploy, n = 1, order_by = date, default = unemploy))