Lab 2: ggplot2 and tidyverse

0.1 ggplot2

  1. Make a scatterplot of cty vs. hwy mpg using the mpg dataset.

  2. Describe the relationship that you see.

  3. Map color and shape to type of drive the car is (see ?mpg for details on the variables.). Do you see any patterns?

  4. Alter your plot from part 3. to make all the points be larger.

    Using the mpg dataset,

  5. Make a histogram of hwy, faceted by drv.

  6. Make a scatterplot that incorporates color, shape, size, and facets.

  7. BONUS - Color your histograms from 1. by cyl. Did this do what you thought it would? (Look at fill and group as options instead).

0.2 readr

  1. Read the NFL salaries dataset from https://raw.githubusercontent.com/ada-lovecraft/ProcessingSketches/master/Bits%20and%20Pieces/Football_Stuff/data/nfl-salaries.tsv into R.

  2. What is the highest NFL salary in this dataset? Who is the highest paid player?

  3. Make a histogram and describe the distribution of NFL salaries.

0.3 dplyr

Using the NFL salaries from https://raw.githubusercontent.com/ada-lovecraft/ProcessingSketches/master/Bits%20and%20Pieces/Football_Stuff/data/nfl-salaries.tsv that you loaded into R in the section, perform the following.

  1. What is the team with the highest paid roster?

  2. What are the top 5 paid players?

  3. What is the highest paid position on average? the lowest? the most variable?

0.4 tidyr

  1. Is the NFL salaries from https://raw.githubusercontent.com/ada-lovecraft/ProcessingSketches/master/Bits%20and%20Pieces/Football_Stuff/data/nfl-salaries.tsv that you loaded into R in a previous your turn tidy? Why or why not?

  2. There is a data set in tidyr called world_bank_pop that contains information about population from the World Bank (https://data.worldbank.org/). Why is this data not tidy? You may want to read more about the data to answer (?world_bank_pop).

  3. Use functions in tidyr to turn this into a tidy form.