Clear and correct visualisations

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).


charts, data visualisation, legiability

Clear and correct visualizations are important because they help to effectively communicate data and insights to the audience.

data to visualise

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)

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