Overview
The purpose of this lab is to get you to try different methods of visualizing the same data to explore what seems to work better.
Data
We’ll work with fivethirtyeight data. via the R package of the same name.
To get started, please run the following lines of code
One you’ve loaded the package, you will have access to a variety of datasets. The datasets we will work with are google_trends, tv_states, and comic_characters.
Assignment
Start a new R Markdown document - you can choose to house this lab on GitHub or not. Either way is fine.
Both the google_trends and tv_states datasets come from a fivethirtyeight story about how the media covered hurricanes and Trump.
- Start with the google trends data.
- Visualize the change in trends for each hurricane over time in one plot with three scales. Map color to a discrete scale.
- Visualize the trends again, this time using
geom_ribbon, setting theyminto 0. - Visualize the same relation, but change the scales so color is mapped to a continuous scale.
- Create a data frame that includes the dates that each hurricane made landfall. Annotate one of your first two plots to include these reference points with vertical lines. The hurricanes made landfall on (approximately) the following days:
- Harvey: August 25, 2017
- Irma: September 10, 2017
- Jose: Did not make landfall
- Maria: September 20, 2017
- Make any final modifications to the plot you’d like to communicate the information as effectively as possible
Replicate the “National cable news networks” plot using the tv_states data. Don’t worry about all the labels. Try to match the colors but don’t worry about getting them exact.
Use the comic_characters dataset to visualize the proportion of different genders using at least three different methods. With your final visualization, make any additional modifications you think would help reduce the cognitive load neccessary to comprehend the figure.
Finishing up
When you have finished the above, upload your rendered (knit) HTML file to canvas.