Week 28: Volcano Eruptions

Week 28: Volcano Eruptions

This week I provided a dataset containing Volcano Eruptions from 1436 volcanoes. The original viz fascinated me and the topic was one I hadn’t explored. So, similar to our Turkey Vulture migration patterns at the beginning of this year, I was intrigued to see...
Week 14: World Wine Production

Week 14: World Wine Production

Are we done with the indulgence related datasets yet? First chocolate, then wine… For week 14, we challenged the Makeover Monday community to create data stories from a data set about global wine production which contained the production volumes for a number of...
Week 2: Looks vs Personality

Week 2: Looks vs Personality

Wow! What a response rate we’ve had to these first two weeks of Makeover Monday in 2018! We thought last year was crazy, but this year is taking it to a whole new level. I’m struggling to keep up with all the vizzes coming in and I’m delighted to see...
Week 52: Christmas tree sales in the US

Week 52: Christmas tree sales in the US

Can you believe that with this blog post, the Makeover Monday year 2017 is coming to an end? No, me neither, and thankfully we can look forward to another 52 datasets starting Monday… For the last week of the year I chose Christmas data after Andy made me do it....
Makeover Monday in 2018

Makeover Monday in 2018

Today Andy and I revealed our plans for the coming year and what we will change and improve about Makeover Monday to continue delivering value for the community and to further grow the project. If you want to be taken through these 10 highlights, check out the...
Week 50: Barrier Free Singapore

Week 50: Barrier Free Singapore

For week 50 we teamed up with Tableau Singapore to bring you a data visualization challenge looking at building accessibility in Singapore. The starting point was a map by Singapore’s Building and Construction Authority and we received over 75 submissions with...
Week 40: The UK economy since the Brexit vote

Week 40: The UK economy since the Brexit vote

We’re at week 40 and only days away from TC17 and our biggest Makeover Monday live event of the year. Before I board that plane on Saturday morning to make my way to Sin City, there is a recap to write and this week’s Makeover Monday was another great...
Week 38: A Day at the Races

Week 38: A Day at the Races

For week 38 we challenged the community to analyze and visualize our race data, which we produced on Sunday as Andy ran the Richmond Marathon and I competed at the Sprint Triathlon Age Group World Championship in Rotterdam. This meant the data came out late on Sunday,...
Week 34 – 5,000 years of Solar Eclipses

Week 34 – 5,000 years of Solar Eclipses

For this week’s #MakeoverMonday we challenged you to visualize 5,000 years of solar eclipse data, provided by NASA. The resulting visualizations were a collection is informative, interactive, artistic and creatively designed stories about solar eclipses across...
Week 32 – India’s broken toilets

Week 32 – India’s broken toilets

With most of the northern hemisphere enjoying a summer break, you’d think there won’t be much dataviz action going on. The Makeover Monday community is not slacking off. As we reflect on another big week of makeovers, there were numerous impactful vizzes...
Week 30 – How thirsty is our food?

Week 30 – How thirsty is our food?

One of the fun parts of Makeover Monday is getting to pick a dataset and topic each week. It’s no big secret that I love food and I figured that lots of people do, because we all eat food every day. The topic for this week was ‘How thirsty is your...
Week 28 – The Tour de France

Week 28 – The Tour de France

Whenever we have data on a topic that’s a bit different from the ‘heavier’ datasets about government debt, employment rates or crime statistics, it can admittedly feel a bit self-indulgent. I like cycling, I like bikes and I like when people conquer...
Week 26 – German Car Production and Exports

Week 26 – German Car Production and Exports

Half-way there! Wow we made it to the half-way mark for 2017! 26 makeovers done, 26 to go. We have really enjoyed the past 6 months and it’s been a very successful time for the project and the dataviz community. We’ve welcomed many new participants and...
Recap: Makeover Monday live in Frankfurt

Recap: Makeover Monday live in Frankfurt

After running Makeover Monday live events in Sydney, Paris, Amsterdam and London earlier this year, it was time for us to make an appearance in Germany. Yesterday we kicked off a week of ‘German Makeovers’ in Frankfurt, where The Information Lab hosted us...
Week 24 – The Tate Collection

Week 24 – The Tate Collection

This week we analysed data from the Tate Collection. Metadata about thousands of paintings and drawings and probably quite a different dataset for the Makeover Monday community.   Oh the creativity!   What I really liked seeing this week was the amount of...
Week 22 – Internet users per 100 people

Week 22 – Internet users per 100 people

Who doesn’t love a map? For week 22 we looked at global internet users across almost 200 countries. Andy and I both had a fair bit of critique for the original viz and I am very pleased with the numerous great submissions from the community.   WELL DONE!...
Week 18 – Sydney Ferry Patronage

Week 18 – Sydney Ferry Patronage

What a cool week for Makeover Monday. Aside from the live events that happened in Sydney, we also welcomed a number of new community members who submitted their first visualizations this week. The dataset contained aggregated Sydney ferry trips from July 2016 to...
Let’s play with some Big A$$ Numbers again

Let’s play with some Big A$$ Numbers again

We did it in week 6 and we’re doing it again in week 16: We’re giving you a big dataset to work with so you can flex your analytical muscles, try something different, find an interesting story or literally just throw some really big figures on your...
Week 8 – The EU Potato Sector

Week 8 – The EU Potato Sector

For week 8 of Makeover Monday we looked at the EU potato sector, including harvested production, cultivated areas, yield and prices. Why did I pick data about potatoes? Because I love potatoes. I think they’re the best vegetable in the world and most people at...