Simple survey data this week and the challenge was as much about tone of voice and objectiveness as it was about data visualisation. It’s one thing to be able to present data in a captivating way. but understanding how to describe and position your wording is as important.
For week 33 we challenged the community to visualise an in-depth dataset about clinical trials by leading drug companies.
In week 32 the community analysed UK Gridwatch data to showcase Britains phasing out of coal-powered energy.
Following on from week 29’s theme about frequency of sex in America, this week the Community visualized data about STDs in America.
For week 30, to celebrate Andy’s 800th Tableau Public viz, Eva challenged the community to visualize Arsenal FC’s 2018/19 season.
Some people might have thought week 29 was a sensitive topic. This week, we challenged the community to visualize the declining frequency of sex in America.
During week 28, we challenged our community to visualize how asylum application numbers to Europe have changed over the last 10 years.
For week 27, David Murphy asked us to makeover a viz he created with his personally collected data about deaths in Game of Thrones. Check out his favorites for the week.
For week 26 we tackled the topic of alcohol consumption. The community created many makeovers of a simple bar chart from World Atlas. Check out this week’s favorites here.
Week 25 was a #MakeoverMonday Live at TC Europe looking at Airbnb listings and reviews in Berlin
For week 24 we celebrated #PrideMonth with data and asked the community to tackle a dataset about attitudes towards same-sex relationships. Here are this week’s favorites.
Are Americans sleeping more or less? Check out this week’s favorites to find the answer.
In week 22 the community tackled data about CO2 emissions by countries across the globe, highlighting the severity of the situation when it comes to climate change.
Week 21 was all about bears in North America, specifically bear attacks. Check out our favorites from the week.
For week 20 the community created impactful and thoughtful visualizations to highlight the state of rhino poaching in South Africa.
No sports is more associated with statistics than baseball. So this week, we challenged the #MakeoverMonday community to determine the most efficient batters.
In week 18 the Makeover Monday community tackled data about spacewalks at the ISS. Lot’s of creative and thoughtful visualizations were the result. Check them out here.
This week was one of the most fun datasets for #MakeoverMonday to date. The Community visualized Stephen Curry’s popcorn ratings. What a tasty topic!
For week 16 the community had to visualize the words in RJ Andrew’s book ‘Info We Trust’. The outcome was a mix of Informational, Mathemagical and Sensational.
Week 15 had the Community visualizing the fiscal condition of States in America from 2006-2016.
Original visualization | Data set on data.world | Viz Review Webinar FAVORITES Author: Ivett Kovács Link: Tableau Public Author: Samo Drole Link: Tableau Public Author: Amy Wu Link: Tableau Public Author: Hesham Eissa...
Who visualized consumer spending by generation best for Makeover Monday week 13? Check out the favorites.
In week 12 the community tackled the question of how suitable different genders are perceived to be for leadership roles.
With 3+ million records, how did the community visualize real estate transfers in Philadelphia?
Reflective Log: It’s time for a change. Why I’m stepping back from #MakeoverMonday.
For week 10 #MakeoverMonday collaborated with Operation Fistula to help increase awareness of maternal and women’s health issues.
For Makeover Monday Week 9, the community visualized data about the economic value of the bicycle industry in the UK.
Earlier this month we ran a webinar on the topic of ‘Doing Good with Data’ with guests from Operation Fistula, the SDG Action Campaign and the World Food Programme.
For week 8 the community visualized data showing wind energy use in different US states.
For #MakeoverMonday week 7, the Community analyze data about President Trump’s daily schedule.
For week 6 we challenged the community to visualize data to compare Chinese New Year and Thanksgiving.
For week 5, the Community revizzed the Digital Economy and Society Index. Check out the favorites.
Week 5 Viz Review included four demos in 20 minutes. Check them all out in this summary post.
For week 4 of 2019 the community analyzed 2017 electricity consumption at 10 Downing Street, looking at half-hourly usage data from CarbonCulture.net.
During the demo for week 4 Viz Review, Eva and I explored the data and decided to extend upon the feedback we gave Kuldeep Ram to create a small multiples view.
For week 3, we looked at how many people earn minimum wage or less in States across America from 2002-2017.
Makeover Monday week 3 Viz Review included three demos in 13 minutes. Check out the results!
In week 2 we looked at freedom of the press by country from 1993 to 2016 and saw how things changed around the world.
Check out the viz built in 10 minutes during Makeover Monday Viz Review for week 2 2019.
#MakeoverMonday 2019 kicked off by looking at NHL attendance trends
A huge round of applause to everyone who participated in #MakeoverMonday this year. This week we looked at a very simple dataset about Christmas spending in the US over time.
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...