CONTENT WARNING: death, suicide • For #MakeoverMonday, the community brought to light a very difficult topic: suicide. Here are the vizzes that communicated the topic most effectively.
2018 is not quite finished and the real ‘end point’ to the year will come in this week’s recap. It is, however, time to announce where Makeover Monday is heading in 2019, what’s changing, what’s new and what you can expect from us and the project.
In the penultimate week for #MakeoverMonday 2018, the community analyzed injury statistics on London’s bus network.
For week 50 I picked a dataset which I thought was nice and simple, something easy as we approach the holidays and the end of the year. Turns out, this dataset might have been a bit more challenging than I thought.
In week 49, the Makeover Monday Community did some amazing analysis on female constructors of New York Times crosswords in the Shortz Era.
Did you miss Viz Review? Did you want to see what was built during the live demo? Get them both here.
Original visualization | Data set on data.world | Viz Review Webinar You all probably know by now that the #MakeoverMonday community is pretty switched on, creative, passionate and simply a bunch of incredible people that we truly enjoy working with. Not...
For week 47, the Community took a visualization from HowMuch.net and turned into visualizations that are much easier to understand.
For week 46 of 2018, and week 150 in total, we asked you to visualize diversity in tech. Thanks to everyone who took this challenge on and created a visualization of the data that showed the diversity, or lack thereof, in tech and social media companies.
At the end of Viz Review, we do our best to make time for a quick demo and different take on the data set for that week. During Viz Review, we gave feedback to Steve Gesuale on this viz of his about diversity in tech. A view asked how to build this type...
Original visualization | Data set on data.world | Viz Review Webinar This week we looked at US population projections based on data from the US Census Bureau. First, I would like to thank Data School Coach Carl Allchin for stepping in to help with Viz...
For week 44 we asked our community to tackle a clean dataset about a dirty matter: washing your hands after pooping.
Week 43 included a Makeover Monday Live at TC18 in New Orleans. Over 700 people vizzed live for an hour. This week, we gave a makeover to Andy’s first Makeover Monday.
A week out from TC18 and we used a dataset about women in the House of Representatives to analyze and visualize the increase of women’s seats in Congress over time.
Makeover Monday week 41 saw the community creating some incredible visualizations to represent cancer survival rates in America
For this week’s Makeover Monday challenge, we asked you do improve on a chart published on the Overridge Wealth Advisors website and based on data from the Hass Avocado Board.
Check out the dashboard from the first live demo from Makeover Monday Viz Review for week 40.
Week 39 was our second collaboration of 2018 with Equal Measures 2030. This week the Community visualized survey data about gender equality.
During week 38 we asked the community to visualize a short and simple dataset about train versus plane travel.
For #MakeoverMonday week 37, we looked at spending at Trump properties before and after he was elected President.
For week 36 the community tackled an interactive map by Nike, showing it’s factory locations around the world.
For week 35, we looked at the body parts people attach tech to, including lessons about simplicity and using lines on interval scales.
As the wider dataviz and Tableau community this week collaborated with ACLED to bring clarity to crisis through projects like #WorkoutWednesday, local TUGs and a hackathon, #MakeoverMonday also formed part of the collaboration efforts
Anthony Bourdain took us on journeys all around the world. To celebrate his life, the Makeover Monday community visualized data all of his shows.
This week we looked at spending on Research & Development in different countries around the world with data from the UNESCO Institute of Statistics.
Week 31 was a collaboration with The Economist to help them see new and effective ways of visualizing The Big Mac Index.
For week 30 we challenged the community to improve on a bar chart published in an OECD report on parental leave systems in countries around the world.
The #MakeoverMonday community loves sports data! This week, we looked at historical NBA team spending versus the salary cap.
This week I provided a dataset containing Volcano Eruptions from 1436 volcanoes. An exciting topic that hopefully everyone else enjoyed as well.
Week 27 was all about New York’s rats. Where are they? How many have been reported? Is the situation getting better?
We have reached the 2018 half-way mark and this week saw the community tackle 58 million records of bicycle hire data for London’s ‘Boris Bikes’.
For Makeover Monday week 25, the community visualized flu trends in America. The recap covers lessons about taking time to understand the data.
This week’s recap about the Tourism Density Index comes to you from Berlin, where I am playing tourist myself and enjoying a few days in the capital.
The UK recently release data on the gender pay gap at companies across the country. For week 23, the Community created lots of great visualizations to communicate the disparity amongst many companies.
For week 22 we used a simple dataset about prime property prices in selected cities around the world.
The Premier League season has come to a close. How well did the Guardian predict the table? The #MakeoverMonday community shows you how well they did.
Andy and I are huge fans of simplicity and this week's dataset was nice and simple, giving everyone a chance to stick to the basics if they want to and enjoy the nice (Northern Hemisphere) spring weather instead of spending many hours building vizzes. We asked you to...
What is the toughest sport by skill according to American sports experts? Plus lessons about complex metrics and using lines for discrete values.
Bee Colony Loss is a serious topic that impacts all of us and the environment we live in, so we visualized data for the US this week to highlight the problem.
Week 17 was a collaborating with Global Footprint Network to raise awareness about our ecological footprint on Earth Day
We were delighted to collaborate with PATH.org this week and in particular use simulated data from their Visualize No Malaria project.
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
The goal for week 13 was to answer a simple question: Which chocolate bar do Brits prefer the most?
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.
It’s time for the Winter Olympic Games! For week 7, we visualized historical medal winners from Games gone past.