Distill is a publication format for scientific and technical writing, native to the web.
Learn more about using Distill at https://rstudio.github.io/distill.
- Load the R package we will use.
- Quiz questions
Replace all the ???s. These are answers on your moodle quiz. Run all the individual code chunks to make sure the answers in this file correspond with your quiz answers
After you check all your code chunks run then you can knit it. It won’t knit until the ??? are replaced
The quiz assumes you have watched the videos had worked through the exercises in exercises_slides-1-49.Rmd
- Pick one of your plots to save as your preview plot. Use the ggsave command at the end of the chunk of the plot that you want to preview.
*Question Modify Slide 34
Create a plot with the faithful dataset
add points with geom_point
assign the variable eruptions to the x-axis
assign the variable waiting to the y-axis
colour the points according to whether waiting is smaller or greater than SEE QUIZ
*Modify intro-slide 35
Create a plot with the faithful dataset
add points with geom_point
assign the variable eruptions to the x-axis
assign the variable waiting to the y-axis
assign the color darkorange to all the points
*Modify intro-slide 36
Create a plot with the faithful dataset
use geom_histogram() to plot the distribution of waiting time
assign the variable waiting to the x-axis
*Modify geom-ex-1
See how shapes and sizes of points can be specified here: https://ggplot2.tidyverse.org/articles/ggplot2-specs.html#sec:shape-spec
Create a plot with the faithful dataset
add points with geom_point
assign the variable eruptions to the x-axis
assign the variable waiting to the y-axis
set the shape of the points to cross
set the point size to 7
set the point transparency 0.6
*Modify geom-ex-2
Create a plot with the faithful dataset
use geom_histogram() to plot the distribution of the eruptions (time)
fill in the histogram based on whether eruptions are greater than or less than 3.2 minutes
*Modify stat-slide-40
Create a plot with the mpg dataset
add geom_bar() to create a bar chart of the variable manufacturer
*Modify stat-slide-41
change code to count and to plot the variable manufacturer instead of class
*Modify stat-slide-43
change code to plot bar chart of each manufacturer as a percent of total
change class to manufacturer
*Modify answer to stat-ex-2
for reference see: https://ggplot2.tidyverse.org/reference/stat_summary.html?q=stat%20_%20summary#examples
Use stat_summary() to add a dot at the median of each group
color the dot purple
make the shape of the dot square
make the dot size 9
