Deconstruct a DataViz

Build your visual skills by taking apart an example visualization

Set Up

This activity will take 15 to 20 minutes. You should have these materials on hand:



Telling stories with data is hard to do. It relies on a diverse set of skills - data processing, graphic design, storytelling, and more. This activity helps you build those skills by taking apart work that others have done (the good and the bad) to build your critical eye. You'll help participants break down and discuss a four things about a visualization - (1) the data it uses, (2) the ways it shows that data, (3) the narrative it is trying to tell, and (4) evaluating whether it combines those to tell the data story well.


Kick off the Activity

Begin by handing out printouts of the graphic you've selected and giving a little backstory about its context. For example, the Sport Wales graphic was commissioned to accompany the publication of the Acting Today For An Active Tomorrow report, which was produced by the Sport Wales Advisory Group in 2014. It details the key trends that will affect sport in Wales.

Give participants just a minute or two to review the handout together. Don't give them too long - you want their first reactions to come out.


Lead a Conversation

After participants have looked over the visualization, ask them a series of questions. Try to keep the discussion focused on these exploratory questions rather than whether the visualization is "good" or "bad" (evaluation comes after exploration). First ask them to identify some of the datasets used. Collect four or five answers from participant. For the Sport Wales graphic, these often include answers like "population projections ", and "GDP". Then talk about how telling these stories requires you to pull from multiple datasets; you can seldom put together a strong story with just one spreadsheet.

Next, ask participants to identify how this data is represented. Collect a few answers. For example, in the Sport Wales graphic icons are used to help people understand what the data is referring to and percentages are represented as donut charts.

Thirdly, ask participants to identify the short story they think this graphic is trying to tell. What are the data and visual representation trying to say? Ask folks to summarize it in just one sentence, like you would in a tweet. In the Sport Wales example most people think the story is something like "Society is changing, we must ensure that sport provision adapts to meet the challenges and maximise the opportunities". Try to keep participants focused on the story, rather than what they think about it (that comes next).


Pull it All Together

To finish, ask folks if they think the story is well told. What elements best support the story? Are there extraneous pieces that don't help the story along? Are there pieces that actively distract from the main point or contradict it? In the Sport Wales example focus on the takeaway message - what is it? Is it emphasized enough? Does it solve the problem? Emphasize that telling these stories has to focus on a main point, and everything needs to support it. Even if there is some cool data that you want to include, you need to make sure it supports the main story, otherwise it will just distract. Are there examples of data that could be removed from the Sport Wales story to make it more effective?