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Data Maker Track

In the role of Data Maker, learners will develop either a creative data visualization of their own data or a data-driven application that others can use to visualize personal data. They will explore the multiple purposes and strategies for data visualization and how digital applications draw on personal data from users.

Minimum recommended class time: 6-8 hours & Recommended support: Level 2-3

Map

After students have gone through the Data Explorer Track

Class 5: Introduction to Data + Project

James is excited when his teacher introduces a creative data visualization challenge.

They are given examples - some are interactive charts, some use mixed media, while others turn waveforms into music.

James decides to modify one of the models available on YouQuantified.

Class 6: Exploring Creative Data Visualization with AI

He asks AI for ideas on how he might represent a comparison of alpha waves during scrolling through TikTok and during drawing.

He tells AI to generate a split screen - the left side showing scrolling TikTok videos and the right side showing a blank paper with doodles on it.

Class 7: Construct a Creative Data Visualization

Then he tells the AI to layer two line graphs showing the alpha waves during TikTok and during drawing

He notices that there is a clear contrast between his brain states during drawing and during watching TikTok.

But he wonders if there are ways to map alpha waves to other features like speed.

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Class 8: Add an artist statement to your data biography

The AI chat bot helps him generate code to map alpha waves to the speed of scrolling TikTok videos.

He writes an artist statement which discusses his motivations and inspiration for his design, makes a claim that he is more relaxed when drawing than scrolling on Tiktok because his alpha waves are higher (which we can see in the visual). He then poses a new research question: