A weekly social data project
Join us in the weekly #MakeoverMonday series. Each week we post a link to a chart, and its data, and then you rework the chart. Maybe you retell the story more effectively, or find a new story in the data. We’re curious to see the different approaches you all take. Whether it’s a simple bar chart or an elaborate infographic, we encourage everyone of all skills to partake. Together we can have broader conversations about and with data.
Each week’s topic will be posted on the data sets page on Sunday. It will include the link to the original article (for context) and to the data set. We welcome one and all to participate, but be mindful of a few things:
- This is not about criticizing the original authors. They are people like you and me and they have feelings. Focus on the data, the charts and the story.
- The data set comes from the source article or the source that the article credits. Be mindful that the data is what it is and Makeover Monday is designed to help you practice data visualization.
- Use the hashtag #MakeoverMonday on Twitter if you create your own version and would like to share it.
- Include a picture of the visualisation when you post to Twitter.
- Focus on what works, what doesn’t work, why those things don’t work, and how you made it better.
- Consider time-boxing yourself to one hour. Just make something quick.
- The purpose of the makeover is to improve on the original visualisation. You should try stick to the fields in the data set provided and improve upon the original visualisation. However, if supplementing the data helps you tell a better story, go for it!
- Give credit to the original data source whenever possible
Eva Murray will be posting her makeovers on her blog and Andy Kriebel will be posting his on his blog. You can find our makeovers on this page and the great bloggers that write about Makeover Monday here.
What is Makeover Monday?
Below you’ll find all you need to know to get started with #MakeoverMonday, the most popular social data project in the analytics community.
In the slides and the recorded webinar you will find information about all aspects of the project, including:
- Why people participate week after week
- Where to get the data
- How to submit your viz
- Where and how to get feedback
- What else you can do with #MakeoverMonday
Eva is an accredited Tableau Desktop and Tableau Server Trainer, and passionate about helping others grow their skills and enhance their professional careers.
Eva first became fascinated with data and information visualisation while studying Psychology in New Zealand and lived through the pain of analysing data in Excel at the start of her professional career. Thankfully, she was given a Tableau Desktop license after moving to Australia and things grew from there.
Eva now lives and works in Germany as Tableau Evangelist at EXASOL, a role in which she gets to connect the Tableau community with the fastest analytic database in the market. Eva works with EXASOL’s partners and customers to ensure they get the most out of their analytics tools. She writes about data visualisation, Tableau and her other two hobbies – Travel and Triathlon – on www.trimydata.com.
Andy is a five-time Tableau Zen Master and creator of vizwiz.com, which he created in August 2009 to provide examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau. If you go all the way back to the start of his blog, you’ll notice he’s been doing makeovers since that time. Andy believes makeovers are great way to learn, practice and reinforce data visualisation best practices while learning to work with lots of different data sets.
Andy is the Head Coach at The Information Lab’s Data School and writes three weekly series: Makeover Monday, Tableau Tip Tuesday and Workout Wednesday. He also writes every Thursday at datavizdoneright.com, a site created to highlight data visualisation best practices.
Makeover Monday Alumni
Andy Cotgreave is a visual analytics expert who has been with Tableau in various roles since 2011 ranging from product consultant to product marketing to his current role as Senior Technical Evangelist. Prior to Tableau he was a data analyst at the University of Oxford. He writes about data visualisation on Gravy Anecdote, for Computer World and on the Tableau blog.
Andy’s role at Tableau gives him the opportunity to work with the media, analysts and customers across all industries to help them understand the trends in visual analytics and develop their own data-discovery skills.You can follow Andy on Twitter at @acotgreave.
You can find his portfolio of writing, speaking and blogging on Pinterest.