Week 33 – The Timing of Baby Making
Babies! They’re cute. They’re cuddly. But when are they made?
Week 32 – India’s broken toilets
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.
Week 31 – The Southeast Asian Games
For Makeover Monday week 31, the Community visualised the Southeast Asian Games. How did they do?
Week 30 – How thirsty is our food?
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.
Makeover Monday becomes a BrightTALK Partner
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.
Week 29 – How Trump and Obama’s Staff Salaries Spread Across The Board
For week 29, the Community looked at the salaries of the last Obama administration compared to Trump’s first administration.
Week 28 – The Tour de France
Le Tour de France is in full swing so our community analysed the results of the last 103 races
Week 27 – Tourism in Berlin and Brandenburg
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.
Recap: Makeover Monday live in Berlin
Makeover Monday on Tour made a stop in Berlin.
Week 26 – German Car Production and Exports
We have reached the half-way mark of 2017 this week as we analyse German car production and export data
Recap: Makeover Monday Live in Hamburg
Makeover Monday Live descended upon Hamburg Thursday and what a turnout it was!
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. Our first stop? Frankfurt!
Week 25 – Air Quality Above America
How has America’s Air Quality changed from 1990-2016? The Makeover Monday Community has some answers.
Week 24 – The Tate Collection
This week we analysed data from the Tate Collection, including metadata about thousands of paintings and drawings
Week 23 – America’s National Parks
Week 23 Recap & 5 Lessons Learned – America’s National Parks
Recap: Makeover Monday live at #data17 Tableau Conference on Tour London
Read about our live Makeover Monday event at #data17 in London on June 5
Week 22 – Internet users per 100 people
For week 22 we looked at global internet users across almost 200 countries.
Week 21 – Are Britons falling out of love with booze?
For week 21, we looked at the changing drinking habits of Brits. Are they drinking less? If so, who is?
Recap: Makeover Monday live at #ParisTUG
The organisers of the Paris Tableau User Group spoke to us a couple of months ago and invited us to host a #MakeoverMonday live event at one of their meetups. A trip to Paris in late spring to talk to fellow Tableau enthusiasts about data and Makeover Monday? Sounds...
Week 20 – Youth Employment in Latin America and the Caribbean
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
Recap: Makeover Monday Live in The Netherlands
Makeover Monday Live made a stop at ANWB in The Netherlands last week. Read more to see how it went.
Week 19 – Which cars do the Dutch purchase?
For week 19, we reviewed auto registration in the Netherlands.
Week 18 – Sydney Ferry Patronage
In week 18 we analyzed Sydney ferry trips and welcomed a number of new members to our MakeoverMonday community.
Makeover Monday live in Sydney
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.
Week 17 – Data Skills Are in Huge Demand
For week 17 we teamed up with Tableau to look at LinkedIn’s ranking of the skills that are most in demand. From a selfish perspective for Makeover Monday, it’s pretty amazing to have such close support from Tableau. What’s even better is that Tableau...
Week 16 – Medicine Statistics: GP Prescribing Data (England)
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.
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 dashboard.
Week 15 – The Price of Oil vs. The Price of Gold
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
Week 14 – Millions of UK workers at risk of being replaced by robots
During week 14 we looked at job automation and the potential impact of robots and AI on the UK employment market.
Week 13 – The Secret of Success
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.
Week 12 – March Madness
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
Week 11 – The Likelihood of Orgasm
Over 100 vizzes about the frequency of orgasms in week 11. Looks like a lot of satisfied customers.
Week 10 – Top 500 YouTube Gaming Channels
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 – Andy’s American Express Spending
Week 9 recap, including four lessons to help everyone improve as data analysts and storytellers
Makeover Monday at Saint Joseph’s University
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
Week 8 – The EU Potato Sector
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
Week 7 – How Much Do Americans Spend on Valentine’s Day?
Love was in the air for week 7 and 111 vizzes later, we have some really amazing visualisations!
Week 6 – Inside Chicago’s Taxi Data
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.
Monday is coming – and with it some big data
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.
Week 5 – Employment Growth in G-7 Countries
In week 5, we challenged the Makeover Monday community to makeover a set of pie charts.
Week 4 – Domestic and International Tourism Spend in New Zealand
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 – The 294 Accounts Donald Trump Retweeted During The Election
Week 3 was Inauguration Week in the U.S., so we decided to makeover a bubble chart of President-Elect Trump’s tweets.
Week 2 – Have Apple Lost Their Edge With iPhone?
For the 10th anniversary of the iPhone we analysed iPhone sales data over the years.
Week 1 – Australia’s Gender Pay Gap
Makeover Monday 2017 starts by looking at the gender wage gap in Australia.