Episode 03: How to Tell a Story Through Movement - Featured Viz by Pierre Massat
Welcome to episode 3 of Data Viz Today. How can you find a story by visualizing movement in your data? I share Pierre Massat's data viz where he uses movement to visualize the familial relationships of Kenyan elephants. It's a compelling example of using movement to tell a story. Learn how you can do the same.
These 4 steps will find the movement in your data and reveal your next story...
- Welcome! I'm Alli Torban.
- 00:30 - Featured viz by Pierre Massat for the Amboseli Trust for Elephants.
- 00:50 - It earned an Information is Beautiful Award!
- 01:00 - How can we tell a story through movement?
- 01:05 - Pierre Massat is a data visualization specialist based in Belgium.
- 01:25 - Question they wanted to answer was to show the complexity of the family dynamics and how the population has grown over time.
- 01:40 - Pierre spent a lot of time cleaning the tabular data.
- 02:05 - At first, he wanted to use a big family tree as the visualization, but it was too complex for 3,000 elephants.
- 02:15 - He decided to use animation to show the family movements.
- 03:40 - He used force-directed layout, which gave a life-like wiggle/shuffle to the circles.
- 04:20 - Seeing time passing makes you feel like you're living it.
- 04:50 - My main takeaway: try this 4 step process to help you find a story in your dataset by analyzing movement.
- Define the characters
- Define the attributes of the characters
- How are the characters grouped/categorized?
- What events are happening in your dataset?
- Now visually represent your characters and attributes and notice how they move from different categories as time passes and events happen. What do you see?
- 06:10 - GET THE PRINTABLE!
- 06:40 - I used this 4 step process on voting records of U.S. Senators to see if there is a story in their movements.
- 08:25 - Advice from Pierre: designers need to show their work in an objective way and work on projects that bring our world toward a more sustainable future.
- 09:10 - Check out Pierre's website and twitter. Thanks, Pierre!
- 09:20 - Next featured viz is by Shirley Wu!
- 09:40 - Subscribe to my weekly newsletter, which compiles the top tips from the week into a short email.
- 09:50 - Nominate a data viz to be featured on the show.
- 09:55 - Contact me on social media @dataviztoday!
New episodes are released every Tuesday at 6 AM EST.