Clear and correct visualisations
Description:
A clear and correct visualization should effectively communicate the data and insights being presented. It could not present any misconception or create more questions than answers (in our field).
Links:
https://stat545.com/effective-graphs.html
https://guides.library.duke.edu/datavis/topten
Keywords:
charts, data visualisation, legiability
Motivation:
Clear and correct visualizations are important because they help to effectively communicate data and insights to the audience.
Requirements/Prerequisities:
data to visualise
Level:
generic: high level abstract best practice, metalevel category (e.g. manage architectures)
Application domain:
Data science (analysis & visualisation)
Main phase:
Data Science: Modeling/Training/Evaluation
Related literature:
ROBBINS, Naomi B. Creating More Effective Graphs. 1. Chart House, 2013. ISBN 0985911123.
KNAFLIC, Cole Nussbaumer. Storytelling with data: a data visualization guide for business professionals. 1. Hoboken: Wiley, [2015]. ISBN 11-190-0225-7.
In which projects do/did you use this practice?
nzip, infographic in general, covid dashboard, psychiatry portal
Software Engineer, Data Analyst
0–2 years of experiences
Masaryk University
| 1. How do you rate the potential benefit for your projects? | 4 |
| 2. How often are you using that practice? | 4 |
| 3. What is the effort to introduce the practice in your project upfront? | 5 |
| 4. What is the effort to apply the best practice in your project daily basis? | 3 |
Questions 1, 3 and 4 (1 = Low, 5 = High)
Question 2 (1 = Never, 5 = Always)