“Keep it simple” is NOT good chart-design advice
Nick Desbarats
Independent instructor and best-selling author, data visualization and information dashboard design | LinkedIn Top Data Visualization Voice | Workshop info, email list, etc. at practicalreporting.com
WTF…? Am I suggesting that chart creators should make charts that are needlessly complicated?
No, but there are two reasons why I don’t think “keep it simple” is good advice:
When it comes to creating charts, it takes me about 14 hours to teach someone how to “keep it simple” in my Practical Charts course. Creating charts that look simple and straightforward to audiences requires knowing how to choose from among about 50 common chart types, how to decide how wide or narrow to make quantitative scales, how to choose colors, how to formulate effective chart titles and callouts, and a slew of other skills that many chart creators have never learned, and that require hours or days to master.
Telling a chart creator to “keep it simple,” then, is kind of like telling them to “design good charts.”
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Umm… thanks (?)
BTW…
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Senior Power BI Developer | Data Visualization Expert | Six Sigma Yellow Belt | Greece
7 个月"In reality, of course, almost all chart creators do realize that they should avoid making charts needlessly complicated;" Is that your own personal feeling or the result of scientific research?
Supply Chain and Financial Analytics | Microsoft Certified PL-300
7 个月I agree. Simplicity is one of fundamentals of UI/UX design, however if we looks at IBCS Standards their visualizations are NOT simple. And the we have stand alone chart, part of Dashboard (can be crosshighlighted, crossfiltered), part of small multiple. So same chart can exist in mutiple places thus requirement to simplify/enrich will change. Establishing the context in which Chart was created is crucial.
Data Visualization
7 个月It's kind of funny that the source of the maxim "Everything should be made as simple as possible, but not simpler", attributed to Einstein appears to have been "The basic concepts and laws which are not logically further reducible constitute the indispensable and not rationally deducible part of the theory. It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience.” Simple is hard.
Data savvy change evangilist enabling complex enterprise transformations with human-centric focus
7 个月Spot on! It’s the art of explaining something complex in an easy way. I believe you do master it when it comes to chart design Nick Desbarats. Thanks for sharing your insights and perspectives!
Founder of the A.R.T. model. Follow me to learn everything about data, -visualizations, -storytelling, and AI. Keynote speaker & Trainer.
7 个月??. Data visualization is not about simplifying complex data, but to make complex data understandable. It’s a difference. Thanks for highlighting this Nick.