Charts Explained: Word Clouds

Word clouds give you the ability to present textual data visually by positioning larger tags (i.e. words) most frequently used and the smaller tags by least frequently repeated. This creates a visual structure that allows your public to easily parse out the most frequently used words.

When to Use?

These types of visual communication are especially useful for those looking to obtain insights from text based information. Whether it is a political speech, or if you are looking for information from a competitor, or just looking to get a better understanding of someone you admire, this type breaks down text based information and simplifies it by showing the most used words.

One of our favorite resources here at Quadrigram is The word counter is a great way to get started as it analyzes most common words and phrases and puts these into its built-in word cloud.

What’s great about is that if you don’t have text based data to use, the wordcounter has built in and relevant samples that are easy to use.

Why Would I Want to Use These?

Great question. The purpose of word clouds is to find for patterns that can help you gauge a deeper understanding of the issue that is being researched. You might start off with a question, and use the text information as data that may lead to patterns and insights that can guide you in the right direction to the answer you are looking for.

Using Word Clouds in Quadrigram

Word Clouds are extremely easy to use in Quadrigram. One of the benefits of Word Clouds in Quadrigram is that unlike most chart types that require you to introduce a spreadsheet file to populate data, you can customize the data directly from the Quadrigram editor.

To do this, go to the charts and select word cloud. With the chart selected, the right-hand panel will show up. You can double-click on the List of Values which will appear in a blue block. From here you can add terms listed in the id and the numerical value by number of repetitions. That’s it!

Thanks for reading! We are always looking to improve so write to us on our community if you have any questions or let us know what you think with some feedback!

Categories: Tutorials

Tags: Charts Explained

Originally published at on November 21, 2016.