When cool design breaks a dashboard. 8 techniques to avoid.

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We do want to make beautiful dashboards because beauty is attractive, looks tidy, reliable and helps to create impact with our visualizations. But beauty is also just a package – the value of a dashboard is in the way it helps to read the data intuitively. Forgetting all other things except beauty might lead to poor readability and a confusing experience overall, in other words makes users more frustrated than happy.

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What to Consider When Considering the Audience

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“Considering the audience” is one of the most important pieces of advice in storytelling and data visualisation. It is generally suggested to think about their needs, goals, and ability to understand the items displayed in the visual.

This allows our message to reach them more easily and resonate with them better, but the idea of “considering the audience” itself is quite vague.
In this article, I will turn the vague suggestion “consider the audience” into something more checklist-like, which you could go through and consider the audience “considered”.

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Most dataviz best-practices fight one of those three enemies: what are they?

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You can find maybe 1000 articles with “most important”, “essential” or “golden” rules of data visualization and their set will be unique every time.
Here, I will try to extract principles for data visualization from the underlying reasons why data visualization is even a thing.

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Chaotic, Neutral and Lawful

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Lawful – following the best data visualization rules.

Neutral – basically following the defaults.

Chaotic – doing some “design”.

Good – trying to provide information in a clear way.

Neutral – you just need numbers, here are your numbers.

Evil – let’s pick fancy chart!

How is the pie chart among “good” ones?

What are the differences between men and women according to MBTI?

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What: Type distributions among men and among women.
When: Data was gathered in 2018.
Where: A selection of mostly western countries with representative samples.
Source: MBTI Manual Global Supplements Series | The Myers-Briggs Company (themyersbriggs.com)

Where each MBTI type is the most common?

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What: % of all respondents in a country which represent this type. Country = 100% , but wider bars indicate, that this % of this type is among the top 3 highest in all listed countries. If you’re looking for this type – it is best to look in this country.
When: Data was gathered in 2018.
Where: Only the countries with representative samples are portrayed in the chart.
Source: MBTI Manual Global Supplements Series | The Myers-Briggs Company (themyersbriggs.com)

Is energy the main driver of inflation?

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What: Annual inflation of different items. “Energy” is an aggregate compiled from “Transport” and “Housing” items, so it does overlap with them.
When: 1997-2021
Where: European Union – from 15 countries in 1996, to 27 countries in 2021.
Source: Eurostat database

Inflation and interest rates were going down … until NOW

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What: Annual inflation rate and 3-month interbank rate.
When: Every month from January 1990 till January or February 2022 (latest data available).
Where: All countries available in the OECD database (OECD countries + some other countries) which have data for 2022 (that’s why no China here) except Luxembourg.
Source: OECD

Is the economic gap between new and old EU members closing?

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What: GDP per capita, chain linked volumes (2010) in euro
When: 2004-2020
Where: Current EU members (as of 2021)