The Arctic is melting and this week the Makeover Monday Community helped tell the story of our rising seas.
For week 14, we challenged the Makeover Monday community to create data stories from a data set about global wine production
For week 12 we asked the community to work with data about the UK’s pet population, comparing different animals and their popularity as pets.
We saw the creativity come out during week 11 as the vizzers came out trying to win some whiskey!
This week we’re collaborating with Equal Measures 2030 and Tableau Public for International Women’s Day.
Makeover Monday week 11 is going to have a whisky theme and prizes!
#MakeoverMonday Week 9 2018 Recap: World Economic Freedom | This week’s lessons are about highlighting and working with an index.
After last week’s Olympic medal focus, this week we shifted gears completely and brought you data about the value of pharmaceutical drug exports by country from 2013-2017.
February is Black History Month and we challenged the Makeover Monday community to join the collaboration with Tableau and other data projects including Storytelling with Data, Viz for Social Good and Data for Democracy to visualize diversity.
Week 5 looked at the top 25 most profitable companies per second in the Fortune 500. Also two lessons learned about scatter plots and assumptions about the data set.
The dataset contained migration data for turkey vultures in North and South America and came from a research paper studying the patterns of their migration.
For week 3, we looked at income distribution in the US and learned lessons about attention to detail and sense checking your data.
For this week’s makeover we looked at survey data analysing responses to the question of what is most important for people in a romantic partner.
For #MakeoverMonday week 1, the Community looked at U.S. Per Capita Consumption of Poultry and Livestock. This week, there are 5 lessons for you.
For the last week of the year I chose Christmas data after Andy made me do it. I had initially picked a really cute data set but don’t worry it will come in the new year. So this time we looked at Christmas tree sales in the US. Are you buying real or fake trees?
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.
For week 50 we teamed up with Tableau Singapore to bring you a data visualization challenge looking at building accessibility in Singapore.
Next week we’re collaborating with Tableau Singapore to build on the great work they have done with students at a recent Academic Day
Makeover Monday is a project by the community for the community and without all of you it wouldn’t be what it is today.
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After last week’s smashing results with endless great vizzes and submissions for Makeover Monday, we have another strong week behind us with many excellent visualizations built on a dataset about sustainable public transport in cities around the world.
For week 44 I chose a dataset that wasn’t easy but contained geographical data and dealt with public holidays around the world.
Makeover Monday week 43 looked at the personality types of Americans and how we compare to them
A week for Formula E and two live Makeover Monday events in Munich an Milan.
This week’s makeover focused on GDP growth for G7 countries, the UK in particular, and many people used the rather simple dataset to create makeovers.
Week 39 saw lots of simple vizzes using simple data about restricted dietary requirements around the globe
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.
Week 37 looked at the crazy number of bikes stolen in the UK.
For week 36, we teamed up with Chloe Tseng and #VizForSocialGood in a collaboration with the United Nations SDG Action campaign to visualize survey results for the MyWorld survey looking at people’s perception on the successful (or not) achievement of sustainable development goals.
Week 35 took a look at players arrested in the NFL since 2000
For this week’s #MakeoverMonday we challenged you to visualize 5,000 years of solar eclipse data, provided by NASA.
Makeover Monday & Viz For Social Good collaborate with the UN to support the Sustainable Development Goals Action Campaign ahead of the UN General Assembly in New York City.
Babies! They’re cute. They’re cuddly. But when are they made?
As we reflect on another big week of makeovers, there were numerous impactful vizzes that pointed out the issues faced in rural Indian schools where access to functioning toilets is often lacking.
For Makeover Monday week 31, the Community visualised the Southeast Asian Games. How did they do?
The topic for this week was ‘How thirsty is your food’ with a dataset about the water footprint of common categories, such as different types of meat, dairy, fruit and vegetables, pulses and nuts.
We are delighted to announce that we have become a BrightTALK partner, which means that we now have our own channel for live webinars and sharing content.
For week 29, the Community looked at the salaries of the last Obama administration compared to Trump’s first administration.
Le Tour de France is in full swing so our community analysed the results of the last 103 races
Week 27 included two Makeover Monday Live sessions, the EXASOL Xperience conference, and lots of great vizzes! See who the favorites were this week and what lessons we learned.
Makeover Monday on Tour made a stop in Berlin.
We have reached the half-way mark of 2017 this week as we analyse German car production and export data
Makeover Monday Live descended upon Hamburg Thursday and what a turnout it was!
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. Our first stop? Frankfurt!
How has America’s Air Quality changed from 1990-2016? The Makeover Monday Community has some answers.
This week we analysed data from the Tate Collection, including metadata about thousands of paintings and drawings
Week 23 Recap & 5 Lessons Learned – America’s National Parks
Read about our live Makeover Monday event at #data17 in London on June 5
For week 22 we looked at global internet users across almost 200 countries.
For week 21, we looked at the changing drinking habits of Brits. Are they drinking less? If so, who is?
This week’s Makeover Monday challenge saw us collaborate with #VizForSocialGood and the Inter-American Development Bank to analyse Youth Employment in Latin America and the Caribbean
Makeover Monday Live made a stop at ANWB in The Netherlands last week. Read more to see how it went.
For week 19, we reviewed auto registration in the Netherlands.
In week 18 we analyzed Sydney ferry trips and welcomed a number of new members to our MakeoverMonday community.
As the community continues to grow and the project is picking up momentum among Tableau enthusiasts and dataviz people across the globe, running two live MakeoverMonday meetups in Sydney was a great way to connect with the Australian data visualization community.
For week 16 we gave the #MakeoverMonday community A LOT of data to work with. 784 million records of medications being prescribed by GPs in England between Aug 2010 and Jan 2017.
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 dashboard.
Week 15 explored the relationship between the price of gold and the price of oil as we looked back at one of Andy’s first Tableau visualizations
During week 14 we looked at job automation and the potential impact of robots and AI on the UK employment market.
Week 13 took a look at a Russian survey about the secret of success. Dot plot, bump charts, bar charts, radar charts. This week had it all! Plus seven lessons to take on board.
We looked at March Madness data for week 12, highlighting the phenomenon that is US college basketball. Quite a few vizzes showed the passion that exists with people and the strong affiliation they have with their teams and those of us outside of the US got a great lesson about basketball
Over 100 vizzes about the frequency of orgasms in week 11. Looks like a lot of satisfied customers.
During week 10 we used SocialBlade‘s statistics on the Top 500 YouTube Gaming Channels to improve on their simple table and create vizzes that would convey the information better than the original.
Week 9 recap, including four lessons to help everyone improve as data analysts and storytellers
Read about the Tableau community at Saint Joseph’s University where students are leading the way to teach their peers about data and data visualization through weekly Tableau clinics and #MakeoverMonday sessions
Everyone loves spuds! In week 8 we looked at the EU Potato Sector. Many authors kept their vizzes nice and simple, while still using the ‘potato theme’ in their colour choices
Love was in the air for week 7 and 111 vizzes later, we have some really amazing visualisations!
A HUGE week for Makeover Monday as everyone got to play with a lot of data. We saw great, creative designs, stunning variations of the black and yellow taxi theme and really cool visualisations using maps and animations.
For week 6 we change things up and bring you A LOT of data. We let you connect to EXASOL so you can work with 105 million records live in Tableau.
In week 5, we challenged the Makeover Monday community to makeover a set of pie charts.
In week 4 we looked at Tourism spend data for New Zealand. Submissions investigated New Zealand’s seasonal trends and the impact of the film industry, as well as sporting events, extreme weather and earthquakes on tourism
Week 3 was Inauguration Week in the U.S., so we decided to makeover a bubble chart of President-Elect Trump’s tweets.
For the 10th anniversary of the iPhone we analysed iPhone sales data over the years.
Makeover Monday 2017 starts by looking at the gender wage gap in Australia.