Please log in to watch this conference skillscast.
This talk will walk you through some of the fundamental mistakes that can obscure the message, or even result in the viewer taking away entirely wrong conclusions. Afterwards, you will be able to spot when a graphic is misleading or poorly constructed, and avoid making the same mistakes yourself.
YOU MAY ALSO LIKE:
- Scaling up k-nearest neighbours classification (SkillsCast recorded in December 2013)
- Introduction to Knowledge Graphs (In-Person Workshop) with Howard Knowles (in London on 13th June 2022)
- Introduction to Knowledge Graphs (Online Workshop) with Howard Knowles (Online Workshop on 21st July 2022)
- YOW! Data 2022 (Online Conference on 1st - 2nd June 2022)
- Getting Geospatial Data on The Web (SkillsCast recorded in February 2022)
- Deep Learning with F#: An Experience Report (SkillsCast recorded in October 2021)
Lies, Damned Lies & Dataviz
Andrew is Director of Learner Analytics & Data Science at Pearson, where he applies machine learning, statistical analysis and data visualization techniques to the challenges of 21st century education.