Tell me why... I don't like dashboards
😶 I don’t like dashboards. There, I said it.
Ok, some nuance: I don’t like _most_ dashboards. The main reason: they’re trying to do everything, everywhere, all at once.
On the spectrum of data visualization, two main clusters of powerful visuals exist:
1️⃣ Data visuals for analysis: useful for data analysts, who have time to explore the data in full detail, with lots of filters, offering many different perspectives on the data. Their goal: extracting the insights from the data.
2️⃣ Data visuals for communication: useful for managers, or a more general audience. They don’t have a lot of time and want to know the major insights, fast, loud and clear. For more complicated stuff, we can craft a strong narrative to guide them through the major insights.
What most dashboards are trying to do, is both of these things simultaneously: raw data goes in, crystal-clear insights come out – or so people expect.
The solution? We make a full-fledged dashboard for the analysts, and a dedicated light-weight version for the management, showing only what they need to know for their decision-making. Or we do our analysis first, and translate those insights into an engaging visual storytelling piece, or an attractive visual report.
As always, we have to think about the audience and their goals. Not just dump the data on top of them, and hope they will figure it out!
Read more:
How common is your birthday?
Not all birthdays are created equal... in fact, for most countries in the north temperate zone, more people are born in summer (May - August) than in winter (October - January). This heatmap allows you to check how popular your birth date is. It shows the number of people in Belgium for each specific birthday.
19 July 2022
Visualizing Complexity: Dataviz book review
Visualizing Complexity is a great new data visualization book published by information design Superdot. Here's our verdict.
8 July 2022
This chart is trying to trick you
The original chart in this example is trying to suggest a strong correlation between sugar intake and obesity in the US between 1980 and 2000. It does so by carefully choosing the vertical axis ranges and scaling so both lines nicely fall on top of each other.
3 June 2022
Research visuals: all the resources you’ll ever need!
If you want to start creating clear and attractive visuals about your research, but don't know where to start, this page is for you! Here's a complete overview of tools, resources and inspiration you can use as a starting point for your designs.
18 April 2022
Small datasets to practice your data visualization skills
When you're teaching data analysis or data visualization, or when you're learning new data visualization tools and techniques, you might be looking for datasets to practice with. Here are some great starting points.
19 October 2021
How to create a graphical abstract
Graphical abstracts are becoming more and more important. Journal publishers such as Elsevier encourage you to create a concise visual summary of the main findings of your research. But where to start? What steps should you follow to create the perfect graphical abstract for your article? What tools can you use?
24 March 2021
We are really into visual communication!
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