Data visualization has a long history, but there are certain visualizations which have impacted data visualisation and society more than any others. Here's my breakdown of the top 5 visualizations of all time.
Do you want to see the slides I used? In which case, click here to see them on Scribd.
When considering these visualisations, you should consider what they can teach us today as we sit at our desks using Tableau. Each of these visualisations have common themes:
- They were designed to create change. This is what we are trying to do with our own work using Tableau. Whether it's improving Sales or finding cures for diseases, visualisations help people make decisions based on data.
- The people who created these visualizations were passionate. In order to make change, you need passion too.
- The visualisation is not the whole story. A visualisation itself can not stand alone. The change achieved by these visualisations came about because their designers went out and pushed their views, supported by these visualisations. If you want to make change, your visualisation also needs to be promoted by you.
These vizzes, old and new were hand-crafted or hand-coded and these authors had to make a decision based on every single design decision. Axis thickness, colors, layout, scales, etc – they drew them all themselves. When you use Tableau, consider the decisions these authors had to make and use this knowledge to make your own vizzes better.
Rosling is a Swedish doctor, academic and statistician. When he began teaching global development to Swedish students he realised he needed better ways to communicate the changing face of global health. The best way to understand this is to just watch him in action here. To cut to the chase, start the video at 1 minute, 40 seconds.
What makes it work? The data is great. The visualization is great. But it’s Hans Rosling who makes it work. He is amazing – he animates any story – he guides the user around. In Tableau we can do annotations, tooltips, highlights, etc to partially emulate this. But also YOU can do what Hans does. You might have to be the one standing in front of your work, talking about it, explaining it, and adding context to it.
In 1812, Napoleon marched to Moscow in order to conquer the city. It was a disaster: having started with arou nd 470,000 soldiers, he returned with just 10,000. This chart tells the story of the campaign and is one of the most famous visualisations of all time. More information about Minard and this chart can be found on Wikipedia.
The map draws you in and encourages you to linger. It invites exploration and reflection. If your goal is to get someone to engage and digest, then Minard’s approach works in an unmatchable way.
Because of its fame, there is a lot of critical commentary about this chart (this post from Excelcharts.com is a good example). A lot of it is reasonable, but this remains a hugely influential and successful chart. Think back to when you first saw this chart – that moment was the light bulb in your head when you realised the power of data visualization: you can tell a story without just using words. And you can draw a chart that captures huge amounts of information.
The charts were part of a Royal Commission looking into the causes of mortality of soldiers in the Crimean War. Nightingale worked with William Farr, a Victorian pioneer in statistics. He did not support the idea of the visualisations being included in the report, but Nightingale stood firm, knowing that people need to see data in order to understand it.
This chart encapsulates everything you should be striving for as a visual analyst. It was innovative and original. It was seen by thousands of people and designed as a way to display a huge amount of information in a digestible, interesting manner. It also helped change the world of data visualization.
So why is this chart the most influential of all time? Not just because of the huge audience this visualisation reached. Not just because of the innovations in this chart. It is primarily because this chart directly influenced William Playfair, who used Priestley's techniques to develop some of the first ever statistical line charts:
What can we take away from the top 5?
You too can be influential. Visualizations can change the world. What I learned in researching this is that a visualisation itself is not the main influencer. They each said “I want to change things for the better. And I have the data to prove it.” And that’s what we can learn from these pioneering, passionate designers.
What do you think? Do you agree? To continue the conversation, comment below, or find me on Twitter @acotgreave. I look forward to your comments and opinions.
Do you want to find out more? Check out this list of resources: http://bit.ly/5vizzes
Thanks to Andy Kriebel for taking photos during the session.