Giorgia Lupi (°1981), originally from Italy, founded the design firm Accurat in 2011. They worked for an impressive list of clients including Google, IBM, Starbucks, and the United Nations. She introduced the concept of Data Humanism. In short, we should not simply focus on numbers, technologies and algorithms, but on the underlying things they represent: people, stories and ideas. She has won several awards, including multiple Information is Beautiful Awards Gold Medals, and in 2019 she joined design firm Pentagram as a partner.

Stefanie Posavec (°1981) was born in Colorado (US) and later moved to London. In 2013 she was one of Facebook’s earliest Artists in Residence, creating the piece Relationship Dance Steps. She aims to make data accessible, memorable and impactful using highly original approaches. For example, she puts health data art on hospital walls as a form of interior design, or she creates jewellery from air pollution data.

In 2016, Dear Data was acquired by the Museum of Modern Art as a part of its permanent collection, so they are both official MoMA artists!

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I absolutely love this crossover between a data visualization book and an art book. Definitely not something to read in one go, but a book to pick up from time to time to browse through the pages. I’m convinced it can be a great source of inspiration when you are stuck on a particular project and are looking for a novel, creative approach.

The differences between Giorgia’s more ‘technical’ and Stefanie’s more ‘artistic’ drawing is interesting, and throughout the project we see both evolving and experimenting in different directions. Personally I love unraveling Giorgia’s complicated legends and decyphering her complex diagrams, and I am amazed at how much information she can compress into a single small postcard. However, in certain weeks, the level of detail can become too complicated and cumbersome. Stefanie’s drawings are usually simpler to absorb, but this often leads to gorgeous patterns, designs or metaphors.

Despite being a collection of 104 hand-drawn postcards, it never gets boring. I especially appreciate how they manage to alternate between very light-hearted, practical topics (e.g. a week of drinks) and deeply emotional, personal topics (e.g. a week of negative thoughts).

The postcards are regulary interspersed with simple but adorable illustrations that make the book a bit easier to digest (too much data can be overwhelming!).

My personal favorites are:

• By Giorgia: a week of media and a week of urban wildlife (so many parameters!)
• By Stefanie: a week of indecision and a week of distractions (so simple, so strong!)

Some of these stunning postcards are really inspiring to draw for myself. So I went ahead and collected some data. I chose to recreate Stefanie’s design for week eleven: a week of emotions.

Every hour during the past week, I have written down the main emotion I was experiencing at that moment. As we are in the midst of crazy pandemic times, you will notice some of my emotions are a bit, well, all over the place. 😬

So without further ado, here is the final result!

If you are also inspired, go ahead and start drawing your own data! And feel free to share it with me, or with the rest of the world! Looking forward to seeing what you are up to 😊

And of course, if you have some data visualization challenges you think we could help you with, let me know as well – we are always happy to assist!

More dataviz book reviews? We have already covered:

• Dear Data
• Storytelling with Data
• Visualizing Complexity