{"id":62889,"date":"2012-08-07T00:00:00","date_gmt":"2012-08-07T00:00:00","guid":{"rendered":"https:\/\/rockcontent.com\/blog\/interaction-design-for-data-visualizations\/"},"modified":"2025-09-15T14:42:59","modified_gmt":"2025-09-15T17:42:59","slug":"interaction-design-for-data-visualizations","status":"publish","type":"post","link":"https:\/\/pingback.com\/en\/resources\/interaction-design-for-data-visualizations\/","title":{"rendered":"Interaction Design for Data Visualizations"},"content":{"rendered":"

Interactive data visualizations are an exciting way to engage and inform large audiences. They enable users to focus on interesting parts and details, to customize the content and even the graphical form, and to explore large amounts of data. At their best, they facilitate a playful experience that is way more engaging than static infographics or videos. Here are several ideas and concepts of interaction design for data visualizations and interactive websites<\/a>, using 11 examples from the web. <\/p>\n

1.\u00a0\u00a0\u00a0 The Basics: Highlighting and Details on Demand<\/h2>\n

Highlighting and details on demand are interactions that are useful for almost all data visualizations. <\/p>\n

Highlighting<\/h3>\n

The Evolution of the Web<\/a> is a great example of how highlighting can support the user in focusing on certain parts of the visualization. The colored, curved web feature lines and the browser lines are emphasized on mouseover, allowing the user to see when a feature was adopted by the different browsers. <\/p>\n

\"The <\/p>\n
by Hyperakt<\/a>.Browse more infographics<\/a>.<\/span><\/div>\n