DATAVIZ TRAINING 3
Pitfalls in data and data visualisation
25 April - 6 May 2022
Training introduction, 25 April 2022
Maarten Lambrechts
Outline
Educational approach
pitfalls?
Practicalities
q&A
EU DATAVIz training program: calendar
educational approach
pedagogical approach
100% remote
Asynchronous learning
MOdULeS
readings
Video lectures
Exercises & assignments
Live sessions
16 hours of training, spread over 2 weeks
pedagogical approach
Live SessioNs
Training introduction (now)
Feedback & discussions (Fridays 29/04 & 06/05)
Questions & answers (Friday 29/04)
Training closure (Friday 06/05)
PITFALLS?
Pitfalls
in metadata
in statistics
in Data
in Data visualisation
in mapping
in ethics
practicalities
16 hours of study time, to be spread over two weeks
Suggested order of modules...
... but some have prerequisite modules, to be completed first
Live sessions have a fixed timing:
| This introduction live session Assignment results discussion 1 |
Now Friday 29/04, 2:30-3:30h |
| Q&A live session | Friday 29/04, 3:30-4:30h |
| Assignment results discussion 2 | Friday 6/05, 2:30-3:30h |
| Closing live session | Friday 6/05, 3:30-4:30h |
Assignments submission deadlines: Friday, 10:00
The platform for the training is Notion: www.notion.so
Create an account with your EU email address: instructions
You will be added as a guest to the training materials. This will allow you to:
- find all the training materials and links easily
- add comments and questions
- submit assignments
All module pages have a link to the next module at the bottom, and a link to the overview page
Track your progress by duplicating the training progress page (create a private workspace and then click the Duplicate link in the top navigation)
You have comment permissions on all pages, so you can add questions directly in the pages (you can mention me with "@Maarten Lambrechts")
You have edit permissions on the assignment pages, so you can add your submission directly to these pages
Links
q&a
EU DataViz training 2022: calendar
| Design principles for data visualisation |
7 - 11 March |
| Telling your story with data visualisation |
28 March - 1 April |
| Pitfalls in data and data visualisation | 25 April - 6 May |
| Dataviz in practice: all the dirty little tricks no one tells you about | 30 May - 10 June |
| A deep dive into chart types: bars, lines and beyond | 20 June - 1 July |
| Make your audience inclusive: accessibility for data visualisation | 19 - 30 September |
| A language to think and talk about visualisations: the Grammar of Graphics | 10 - 21 October |