Data Visualization Color Theory and Visual Encoding

Question 1

Which color scale is most appropriate for representing data that has a meaningful midpoint, such as temperature anomalies?

Accepted Answer

Diverging color scale

Answer

Sequential color scale

Answer

Categorical color scale

Answer

Monochromatic color scale

Question 2

What is the primary purpose of using a sequential color scale?

Accepted Answer

Representing ordered data from low to high

Answer

Distinguishing between unrelated categories

Answer

Highlighting outliers

Answer

Showing positive and negative values

Question 3

Which pre-attentive attribute is the most powerful for distinguishing between discrete categories?

Accepted Answer

Hue (color)

Answer

Size

Answer

Shape

Answer

Orientation

Question 4

How many distinct hues should a categorical color palette typically be limited to for clarity?

Accepted Answer

6–8

Answer

3–4

Answer

10–12

Answer

15–20

Question 5

What is the main concern with using red-green color schemes in data visualization?

Accepted Answer

Red-green color blindness affects ~8% of males

Answer

They reduce contrast

Answer

They are not aesthetically pleasing

Answer

They cause eye strain

Question 6

In data visualization, what does 'luminance' refer to?

Accepted Answer

The perceived brightness or intensity of a color

Answer

The hue or color tone

Answer

The saturation level of a color

Answer

The transparency of a color