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.
There are some interesting outliers: January 1st and July 1st are extra common, because people with an unknown birth data are commonly assigned these birthdays. The national holidays (May 1, July 21, August 15, November 1 and 11, December 25) are clearly visible as dips in the data. And obviously, February 29th is also not very popular!
We haven’t figured out why more people are born on the 1st, 5th, 10th, 15th, 20th and 25th of each month, but possibly this has some administrative reasons as well…
Read more:
Why is data visualization so challenging?
Data visualization is very powerful, but it can also be hard. That’s because a great data visual combines three different aspects simultaneously: clarity, correctness, and beauty.
Data visualization resources: all the links you’ll ever need!
You want to start creating clear and attractive data visuals, but don't know where to start? No worries, here's a complete overview of tools, resources and inspiration you can use as a starting point for your designs.
Why is data visualization so powerful?
The amount of data coming our way is growing exponentially. In 2021 alone, it is estimated that humankind generated 74 zettabytes of data – that’s about 10,000 GB per person. How on earth are we going to keep this manageable?
Infographic: Amazing facts about the brain
Did you know that our brain makes up 2% of our body weight, but consumers about 20% of our energy? Did you know that we have a second brain, located in our gut?
Our information designer Sofia made this insightful infographic, giving you an overview of eight amazing facts about the brain!
Visualizing Complexity: Dataviz book review
Visualizing Complexity is a great new data visualization book published by information design Superdot. Here's our verdict.
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.
We are really into visual communication!
Every now and then we send out a newsletter with latest work, handpicked inspirational infographics, must-read blog posts, upcoming dates for workshops and presentations, and links to useful tools and tips. Leave your email address here and we’ll add you to our mailing list of awesome people!
