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

have fun studying and learning!

Training 3: Pitfalls in data and data visualisation - introduction

By maartenzam

Training 3: Pitfalls in data and data visualisation - introduction

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