Word Cloud

A word cloud is a collection, or cluster, of words depicted in different sizes. The bigger and bolder the word appears, the more often it’s mentioned within a given text and the more important it is. But let’s be honest: most people use word clouds because they look cool, especially when they’re animated. Word cloud slides are a great tool for presenters who are looking to communicate the importance or frequency of words used in relation to one another.

When your raw data is text-based, but you want a stunning visualization to highlight important textual data, a word cloud slide can make a collection of seemingly random words immediately convey crucial information.

Word Cloud Properties

Properties in Action

Set Words/Generate

• You have the option to either set the words for your Word Cloud manually or you can utilize AI to generate words. You can arrange the words by sizing so you have control over which words you would like to have more impact vs. supporting on the slide.

Word Color

• You can choose the color(s) of your words based on the colors available for your chosen theme.

Word Rotation

• This allows you to orient the words in different directions on the slide.

Sort

• You can sort the letters by size (which you can categorize under 'Set Words') or randomly.

Font

• You can choose either the font associated with the chosen theme or the standard block font.

Word Cloud Size

• Easily adjust the size of your Word Cloud! The settings ensure that the sizing remains uniform no matter the size you choose.

Spacing

• Adjusting the spacing allows you to control how the words are distributed on the slide in relation to one another. The placement of the words will adjust based on the spacing and where they would fit best.

Randomize Word Cloud

• This will move the words around in the Word Cloud. You can click this numerous times to find the layout that looks the best to you!

Use Cases:

• Displaying survey results
• Showing the level of interest in a topic or idea
• Calling out key ideas or themes from large amounts of data
• Visualizing raw, text-based data