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@@ -996,6 +996,14 @@ Source: [FT](https://github.com/Financial-Times/chart-doctor/tree/main/visual-vo | |
## Gapminder exercise | ||
<style>.embed-container { position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }</style><div class='embed-container'><iframe src='https://www.gapminder.org/tools/' frameborder='0' allowfullscreen></iframe></div> | ||
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## IMDb exercise | ||
1. Make a copy of the [IMDb data](https://www.kaggle.com/datasets/yehorkorzh/imdb-top-250-movies). | ||
2. Working in groups, think of stories to tell based on this data. | ||
3. What would you visualise to support your story/stories? | ||
4. Would you look for any other datasets you can combine with this? | ||
5. Scout out your visualisation ideas either on pen & paper, using Google Sheets charts or using a platform like [Datawrapper](https://www.datawrapper.de/) or [Flourish](https://flourish.studio/). | ||
6. If you have time left, discuss plans for the group assignment. | ||
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## Contact | ||
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- [[email protected]](mailto:[email protected]) | ||
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