Track made for EDAV class as an introduction to the prgramming language R. Lyrics found here:

(Intro - whispered)
Who’s the biggest language for stats?
Who’s got dplyr and ggplots?
Who’s the big name on the block?
And in industry, who is on top?


(Chorus)
Who’s the biggest language for stats? R
Who’s got dplyr and ggplots? R
Who’s the big name on the block? R
And in industry, who is on top? R

Go hard like R, bruh (x4)


(Verse 1 – Starting R – style of Hamilton)
Alright, first we’re gonna start with the basics
If you cannot see, then I’m about to give you lasik
Step 1: head to r dash project dot org
If you don’t got this, you’re headed straight to the morgue 
Step 2: make sure to download rstudio
Because we want our studio to look good for cuties, yo
Step 3: open up the app, type on the keyboard tap tap tap tap tap

Step 4: you know that place you always use equals? 
They’re backwards arrows now, that’s right, this is the sequel 
Step 5: just click on a data frame to view it
Right in the studio, whenever you renew it
Step 6: in r, we have something called factors 
They’re ordered chosen strings and once they’re learned they’re not detractors
Step 7: now you’re in heaven
It’s time to learn the packages, so that’s just where we’re heading


(Chorus)



(Verse 2 – ggplot2 – style of Kendrick)
Type install dot packages of ggplot2
Top of your script library of ggplot2
If you don’t like to make graphs, suck it up you’ve got to, and
When your friends see your graphs they’ll wish they could plot too
Now listen to me, ggplot is based off of addition
Add your features 1 by 1 to make a coalition
Title, color, axes, labels, these are your decisions
Use the plus sign and these things will make one complete vision

If you want to visualize one variable 
Geom histogram’s the way if it’s continuousable 
But If you want a scatterplot added to your table
Then use geom point cuz it’s almost always possible
To specify your x and y use function aes
X is in the first one, y’s the second argument
Use subplot and then specify both of the dimensions 
To make a grid of graphs, r’s like your goddamn profession


(Chorus)


(Breakdown – dplyr – style of Lonely Island)
This is the breakdown for dplyr
Anything you can do in SQL, you can do it here
Anything you can’t do in SQL, you can probably still do it here
Access those dataframes
Filter
Mutate
Transform
Anything you’ve ever dreamed of
Possible with the columns of the dataframe in dplyr


(Verse 3 – tidyverse – style of Watsky)
If you want your data to be tidy, then we can’t forget about the tidy tidy verse
Because if your data gets all messy, you might as well ride on a motherflipping grimy hearse 
Instead of data frames, well we can always use a tibble 
Do not be afraid, just take a bite and not a nibble 
Now you make sure everything is key and value pairs 
This will Save you later so you don’t pull out all of your hairs 

If you want your data to be tidy you need gather
And If you want the opposite you need spread rather
All of these things the tidyverse can help you do 
If you Don’t think that that’s incredible, screw you too
This verse has been extra quick and clean
Just like the tidyverse, see what I mean? 
Now that you know basic R fo sho
Take it and off to the stars you go!


(Chorus)

Class Raps

Hard Like R

(Intro - whispered)
Who’s the biggest language for stats?
Who’s got dplyr and ggplots?
Who’s the big name on the block?
And in industry, who is on top?


(Chorus)
Who’s the biggest language for stats? R
Who’s got dplyr and ggplots? R
Who’s the big name on the block? R
And in industry, who is on top? R

Go hard like R, bruh (x4)


(Verse 1 – Starting R – style of Hamilton)
Alright, first we’re gonna start with the basics
If you cannot see, then I’m about to give you lasik
Step 1: head to r dash project dot org
If you don’t got this, you’re headed straight to the morgue 
Step 2: make sure to download rstudio
Because we want our studio to look good for cuties, yo
Step 3: open up the app, type on the keyboard tap tap tap tap tap

Step 4: you know that place you always use equals? 
They’re backwards arrows now, that’s right, this is the sequel 
Step 5: just click on a data frame to view it
Right in the studio, whenever you renew it
Step 6: in r, we have something called factors 
They’re ordered chosen strings and once they’re learned they’re not detractors
Step 7: now you’re in heaven
It’s time to learn the packages, so that’s just where we’re heading


(Chorus)



(Verse 2 – ggplot2 – style of Kendrick)
Type install dot packages of ggplot2
Top of your script library of ggplot2
If you don’t like to make graphs, suck it up you’ve got to, and
When your friends see your graphs they’ll wish they could plot too
Now listen to me, ggplot is based off of addition
Add your features 1 by 1 to make a coalition
Title, color, axes, labels, these are your decisions
Use the plus sign and these things will make one complete vision

If you want to visualize one variable 
Geom histogram’s the way if it’s continuousable 
But If you want a scatterplot added to your table
Then use geom point cuz it’s almost always possible
To specify your x and y use function aes
X is in the first one, y’s the second argument
Use subplot and then specify both of the dimensions 
To make a grid of graphs, r’s like your goddamn profession


(Chorus)


(Breakdown – dplyr – style of Lonely Island)
This is the breakdown for dplyr
Anything you can do in SQL, you can do it here
Anything you can’t do in SQL, you can probably still do it here
Access those dataframes
Filter
Mutate
Transform
Anything you’ve ever dreamed of
Possible with the columns of the dataframe in dplyr


(Verse 3 – tidyverse – style of Watsky)
If you want your data to be tidy, then we can’t forget about the tidy tidy verse
Because if your data gets all messy, you might as well ride on a motherflipping grimy hearse 
Instead of data frames, well we can always use a tibble 
Do not be afraid, just take a bite and not a nibble 
Now you make sure everything is key and value pairs 
This will Save you later so you don’t pull out all of your hairs 

If you want your data to be tidy you need gather
And If you want the opposite you need spread rather
All of these things the tidyverse can help you do 
If you Don’t think that that’s incredible, screw you too
This verse has been extra quick and clean
Just like the tidyverse, see what I mean? 
Now that you know basic R fo sho
Take it and off to the stars you go!


(Chorus)

Daniel Gomez 109