Question

1. How could you rescale the count dataset above to more clearly show the distribution of cut within colour, or colour within cut? 2. Use geom_tile() together with dplyr to explore how average flight delays vary by destination and month of year. What makes the plot difficult to read? How could you improve it? 3. Why is it slightly better to use aes(x = color, y = cut) rather than aes(x = cut, y = color) in the example above?

          1. How could you rescale the count dataset above to more clearly show the distribution of cut within colour, or colour within cut?
2. Use geom_tile() together with dplyr to explore how average flight delays vary by destination and month of year. What makes the plot difficult to read? How could you improve it?
3. Why is it slightly better to use aes(x = color, y = cut) rather than aes(x = cut, y = color) in the example above?

1. How could you rescale the count dataset above to more clearly show the distribution of cut within colour, or colour within cut?
2. Use geomtile() together with dplyr to explore how average flight delays vary by destination and month of year. What makes the plot difficult to read? How could you improve it?
3. Why is it slightly better to use aes(x = color, y = cut) rather than aes(x = cut, y = color) in the example above?

Added by Jessica B.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Sri K

03/14/2023

Step 1

To rescale the count dataset to more clearly show the distribution of cut within colour or colour within cut, you can use the `position = "fill"` argument within the `geom_bar()` function. This will normalize the counts within each group, making it easier to Show more…

Show all steps

Thanks for your feedback!

1. How could you rescale the count dataset above to more clearly show the distribution of cut within color; or color within cut? 2. Use geom_tile() together with dplyr to explore how average flight delays vary by destination and month of the year. What makes the plot difficult to read? How could you improve it? Why is it slightly better to use aes(X = color, color = cut) in the example above, rather than aes(X = cut, color = cut)?