Opacity control in Figma - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does opacity control do in data visualization?

Opacity control adjusts how transparent or solid a visual element appears. Lower opacity means more see-through, higher means more solid.

beginner

How can opacity help when showing overlapping data points?

Using lower opacity makes overlapping points visible by letting you see layers beneath, reducing clutter and improving clarity.

beginner

What is a common opacity value range in Figma?

Opacity values range from 0% (fully transparent) to 100% (fully opaque).

intermediate

Why should you avoid very low opacity for important data points?

Very low opacity can make important data hard to see, reducing the impact and making the visualization confusing.

intermediate

How does opacity control improve dashboard accessibility?

Proper opacity ensures good contrast and visibility for all users, including those with vision difficulties.

What opacity value means fully transparent in Figma?

A 0%

B 50%

C 100%

D 75%

0% opacity means the element is fully transparent and invisible.

Why use opacity less than 100% for overlapping data points?

A To make overlapping points visible

B To hide data points

C To change colors

D To increase font size

Lower opacity lets you see overlapping points clearly by making them semi-transparent.

Which opacity value is best for making data points fully visible?

A 0%

B 25%

C 50%

D 100%

100% opacity means fully visible and solid color.

What happens if opacity is too low for important visuals?

A They change color

B They become clearer

C They become harder to see

D They move position

Low opacity makes visuals faint and hard to notice.

How does opacity control support accessibility?

A By making visuals colorful

B By improving contrast and visibility

C By hiding data

D By increasing font size

Good opacity settings improve contrast, helping users with vision challenges.

Explain how opacity control can improve the clarity of overlapping data points in a dashboard.

Think about how transparency helps you see things behind other things.

Describe best practices for using opacity in data visualizations to maintain accessibility.

Focus on visibility and contrast for all users.