Learning goals

In this homework assignment you will…

~~destroy~~ create art
teach yourself to use an R package

Getting started

Go to the ORG organization on GitHub. Click on the repo with the prefix hw05. It contains the starter documents you need to complete the assignment.
Clone the repo and start a new project in RStudio.

Exercise 1:

For this exercise we will use the tidyverse and palmerpenguins R packages. You can add any other packages as needed.

We will use the penguins data set in the palmerpenguins R package for this exercise. We will plot the bill length versus the flipper length.

penguins %>%
ggplot(aes(x = flipper_length_mm, y = bill_length_mm, color = species)) + 
  geom_point()

Your task is to make this plot as ugly as possible. Change each of the following: colors, axes, fonts, theme, and anything else you can think of. You can also search online for other themes, fonts, etc. that you want to tweak. Try to make it as ugly as possible, the sky is the limit!

Exercise 2:

Pick a package. You can choose one from the list below, or venture into the great unknown and find another online. If you have trouble getting a package to work, ask for help on slack or come to office hours.
Install the package. Be sure to do this in the Console, not in your R Markdown document because you do not want to keep re-installing every time you knit the document.

Depending on where the package comes from, how you install the package differs:

If the package is on CRAN (Comprehensive R Archive Network), you can install it with install.packages.
If the package is only on Github (most likely because it is still under development), you need to use the install_github function, click here for more details.
Load the package. Regardless of how you installed the package you can load it with the library function.
Do something with the package. Typically, simpler is better. The goal is for you to read and understand the package documentation to carry out a simple task.
Finally, write a short 3-4 sentence statement (at the beginning of your solution to this exercise) and include:
1. The name of the package you use and whether it is from CRAN or GitHub
2. A short description of what the package does (in your own words)
3. A short description of what you do with the package.

Sample list of packages on CRAN:

package name	description
ape	Manipulate, plot and interact with phylogenetic trees and models. Comes with sample data
astrodatR	Astronomy datasets
cowsay	Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more
babynames	US Baby Names 1880-2015
dragracer	These are data sets for the hit TV show, RuPaul’s Drag Race. Data right now include episode-level data, contestant-level data, and episode-contestant-level data
datapasta	RStudio addins and R functions that make copy-pasting vectors and tables to text painless
DiagrammeR	Graph/Network Visualization
janeaustenr	Full texts for Jane Austen’s 6 completed novels, ready for text analysis. These novels are “Sense and Sensibility”, “Pride and Prejudice”, “Mansfield Park”, “Emma”, “Northanger Abbey”, and “Persuasion”
ggimage	Supports image files and graphic objects to be visualized in ‘ggplot2’ graphic system
gganimate	Create easy animations with ggplot2
gt	Easily Create Presentation-Ready Display Tables
leaflet	Create Interactive Web Maps with the JavaScript ‘Leaflet’ Library
praise	Build friendly R packages that praise their users if they have done something good, or they just need it to feel better
plotly	Create interactive web graphics from ggplot2 graphs and/or a custom interface to the JavaScript library plotly.js inspired by the grammar of graphics
suncalc	R interface to `suncalc.js` library, part of the SunCalc.net project, for calculating sun position, sunlight phases (times for sunrise, sunset, dusk, etc.), moon position and lunar phase for the given location and time
schrute	The complete scripts from the American version of the Office television show in tibble format
statebins	The cartogram heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on “The states most threatened by trade”
ttbbeer	An R data package of beer statistics from U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade Bureau (TTB)
ttbbeer	An R data package of beer statistics from U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade Bureau (TTB)
ukbabynames	Full listing of UK baby names occurring more than three times per year between 1996 and 2015, and rankings of baby name popularity by decade from 1904 to 1994
wesanderson	Color palettes from Wes Anderson films
scatterplot3d	Create 3D plots

Submission

Knit to PDF to create a PDF document. Stage and commit all remaining changes, and push your work to GitHub. Make sure all files are updated on your GitHub repo.

Only upload your PDF document to Gradescope. Before you submit the uploaded document, link each answer to the appropriate page(s). If any answer spans multiple pages, then mark all pages. Associate the “Overall” section with the first page.

Grading (50 points)

Component	Points
Ex 1	19
Ex 2	25
Workflow & formatting	6

Workflow and formatting
This includes having at least three meaningful commits, a neatly formatted PDF document with readable headers, updating the name and date, using the tidyverse syntax, and naming all code chunks.

HW 05: Paint a plot, pick a package

due Friday April 15 11:59 PM