Reminder: this assignment should only be started after completing modules 1-12 and module 17 (The Dataviz Checklist: introduction ) of this training.

For this assignment, you can either use one of the example charts below, or start from a chart of your own choice (a visualisation you made yourself, one produced by your organisation, or one you found somewhere online or in a publication).

Evaluate the design of your visualisation of choice by running it through the Dataviz Checklist and add your findings to the Submissions section below.

Example charts

Preferably, you use one of your own charts for this assignment. But if for some reason you prefer not too, you can pick one of the charts below.

Source: https://ec.europa.eu/eurostat/documents/2995521/14358092/4-03032022-AP-EN.pdf/e54d1a60-8743-276b-09c5-7ade0b41b150?t=1646222922742

Source: https://ec.europa.eu/eurostat/documents/2995521/14358092/4-03032022-AP-EN.pdf/e54d1a60-8743-276b-09c5-7ade0b41b150?t=1646222922742

Source: https://www.bloomberg.com/news/articles/2021-12-02/technology-drives-a-power-transition

Source: https://www.bloomberg.com/news/articles/2021-12-02/technology-drives-a-power-transition

Source: https://twitter.com/WhiteHouse/status/1486709480351952901

Source: https://twitter.com/WhiteHouse/status/1486709480351952901

Expected outcome

Add the visualisation you evaluated with the Checklist below to the Submissions section of this page, together with your name.

After completing the Checklist, you are given the option to share a link to the results. Add this to your submission.

Additionally, add one paragraph with your comments on the evaluation process, the Checklist and the results.

Optionally, you can add a remake of the chart you evaluated, based on the results of the Checklist evaluation (and based on other things you learned in this training).


After submitting the assignment, you can continue the course with the next assignment, Assignment: Make the worst chart ever , or you can pick another module from the Design principles for data visualisation: training outline


Submissions

<aside> 🆘 In case you are not familiar with writing and adding images on Notion, watch the video linked below before submitting.

</aside>