The Color and the Shape

Question 1

Higher dimensions

Four other common dimenstion treatments for scatter plots are:

Answer 1

• Color
• Size
• Transparency
• Shape

Question 2

Higher dimensions

Four other common dimenstion treatments for line plots are:

Answer 2

• Color
• Thickness
• Transparency
• Line type (solid, dashes, dots)

Question 3

Higher dimensions

Another way to separate out another dimension is to use p_____.

Answer 3

Panels

Small plots of the same type

Question 4

Higher dimensions

3D plots are often a bad idea because …

Answer 4

Trying to show 3 dimensions in 2D often causes confustion and lack of clarity.

Question 5

Higher dimensions

Why might using size or transparency not work well for a scatter plot?

Answer 5

It’s often hard, if not imposssible, to distinguish overlapping data points.

Question 6

Using color

What are the three main color spaces?

Answer 6

• RBG (Red, Grean, Blue)
• CMYK (Cyan, Magenta, Yellow, Black)
• HCL (Hue, Chroma, Luminance)

Question 7

Using color

RGB stands for

Answer 7

Red, Grean, Blue

Question 8

Using color

CMYK stands for

Answer 8

Cyan, Magenta, Yellow, Black

Question 9

Using color

HCL stands for

Answer 9

Hue, Chroma, Luminance

Question 10

Using color

The colorspace best used in data viz is:

Answer 10

HCL

(Hue, Chroma, Luminance)

Question 11

Using color

The three types of color scale usage for data viz are:

Answer 11

• Qualitative
• Sequential
• Diverging

Question 12

Using color

A Qualitative color scale uses …

Answer 12

hue to distinguish unordered categories.

Question 13

Using color

A Sequential color scale uses …

Answer 13

a change in chroma or luminance to show ordering.

Question 14

Using color

A Diverging color scale uses …

Answer 14

a change in chroma or luminance with two hues and is meant to show above or below a midpoint.

Question 15

Plotting many variables at once

If you have several variables that are a mix of continuous and categorical, what plot type might you use?

Answer 15

A paired plot.

A pair plot is a matrix of plots in rows and columns that are a combination of bar plots, histograms, scatter plots, and correlations.

Question 16

Plotting many variables at once

Panels on the diagonal of a paired plot show _____________ of variables.

Answer 16

distributions

This could either be a bar plot when the variable is categorical or a histogram if the variable is continuous.

Question 17

Plotting many variables at once

Panels off the diagonal show ___________ between pairs of variables.

Answer 17

relationships

When both variables are continuous you see scatter plots of each pair of variables and their correlation.

Question 18

Plotting many variables at once

When should you use a pair plot?

Answer 18

• When you have up to 10 variables (either continuous, categorical, or a mix).
• When you want to see the distribution for each variable.
• When you want to see the relationship between each pair of variables.

Question 19

Plotting many variables at once

In a pair plot, when comparing a categorical variable to a continuous variable you get what kind of plot(s)?

Answer 19

A box plot and a histogram of the continuous variable split by the categorical variable.

Question 20

Plotting many variables at once

When you have lots of continuous variables and need a simple overview of their relationships, what plot type might you use?

Answer 20

A correlation heat map.

Question 21

Plotting many variables at once

When should you use a correlation heat map?

Answer 21

• When you have lots of continuous variables.
• When you want a simple overview of how each pair of variables is related.

Question 22

Plotting many variables at once

Each intersection of a correlation heat map shows what?

Answer 22

The correlation value between the continuous variables.

Question 23

Plotting many variables at once

When you have lots of continuous variables and want to find patterns, what plot type might you use?

Answer 23

A parallel coordinates plot

Question 24

Plotting many variables at once

When should you use a parallel coordinates plot?

Answer 24

• When you have lots of continuous variables.
• When you want to find patterns across these variables,
• Or when you want to visualize clusters of observations.

Question 25

Plotting many variables at once

In a parallel coordinates plot, the x-axis contains what?

Answer 25

The continous variables each with their own vertial area or line.

Question 26

Plotting many variables at once

If you have many continuous variables and want to find patterns, but have one categorical variable, what might you do?

Answer 26

Use a set of parallel coordinates plots that are split by the categorical variable.