A word cloud is a visual representation of text data where the size and prominence of each word are determined by its frequency or importance within the given text. It is a popular data visualization technique used to highlight the most common or significant words in a textual dataset. Word clouds are often used in various domains and applications, including:

  1. Text analysis: Word clouds can help analysts explore and summarize large volumes of text data. By visualizing the most frequently occurring words, they can identify key themes or topics and understand the overall focus of the text.
  2. Social media analysis: Word clouds are commonly used to analyze social media data, such as tweets or customer reviews. They can help identify trending topics, popular hashtags, or common sentiments expressed by user.

How to Build a Wordcloud on Tableau

I exported a data using an API from the Cooper Hewitt museum website. With the list of description of each object in the museum, I wanted to analyse the text to look at themes of objects that were acquired by the museum. The file looks like this – a column with the frequency of words and a list of words in another column.


Steps in Tableau

  1. Add the frequency field into size on the Marks card. Change the marks to Size.
  2. Add the Word field into the Marks card as a text.
  3. To colour the words by the count, add in another frequency field into the Marks card and change the type to colour.

There you have it. It is simple to create a wordcloud on Tableau.

Word clouds can help you quickly summarize and visualize textual data, making it easier to understand and interpret patterns and trends within the text. It serves as a powerful tool for data exploration, analysis, and communication in various domains. Thanks for reading my blog!

Shaida Shamuri
Author: Shaida Shamuri