# 1.10. Exercises¶

Question 1

The data shown here are the number of visits to a university website for a particular statistics course. There are 90 students in the class. 1. What are the names (type) of the 2 plots shown?

2. List any 2 interesting features in these data.

Question 2

What are the names of the axes on a bar plot?

Question 3

Which types of features can can the human eye easily pick out of a time series plot?

Question 4

Why is the principle of minimizing “data ink” so important in an effective visualization? Give an scientific or engineering example of why this important.

Question 5

Describe what the main difference(s) between a bar chart and a histogram are.

Question 6

Write out a list of any features that can turn a plot into a poor visualization. Think carefully about plots you encountered in textbooks and scientific publications, or the lab reports you might have recently created for a university or college course.

Question 7

This question is an extension to visualizing more than 3 variables. Investigate on your own the term “scatterplot matrix”, and draw one for the Food texture data set. See the car library in R to create an effective scatterplot matrix with the scatterplotMatrix function. List some bullet-points that interpret the plot.

Question 8

Using the Website traffic data set

1. Create a chart that shows the variability in website traffic for each day of the week.

2. Use the same data set to describe any time-based trends that are apparent.

Question 9

Load the room temperature dataset into R, Python or MATLAB, or whichever software tool you prefer to plot with.

1. Plot the 4 trajectories, FrontLeft, FrontRight, BackLeft and BackRight on the same plot.

2. Comment on any features you observe in your plot.

3. Be specific and describe how sparklines of these same data would improve the message the data is showing.

Question 10

Load the six point board thickness dataset, available from datasets website.

1. Plot a boxplot of the first 100 rows of data to match the figure in these notes

2. Explain why the thick center line in the box plot is not symmetrical with the outer edges of the box.