Blog
Join us every week to recap the best visualisations, learning points and all the news about MakeoverMonday
Blog
Join us every week to recap the best visualisations, learning points and all the news about MakeoverMonday
Week 16: US Air Passenger Travel

Week 16: US Air Passenger Travel

A rich dataset in week 16 gave us a chance to analyse air passenger numbers for several years for travels to and from the US, as well as domestic trips within the country.

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Week 5: Renewable Energy

Week 5: Renewable Energy

Week 5 challenges the #MakeoverMonday community to create visualizations about renewable energy production in the EU. Check out the favorites in this video.

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Week 52: Global import of cocoa beans

Week 52: Global import of cocoa beans

The last week of 2020 had us visualize data about cocoa bean imports by different regions around the world. Check out these inspiring favorites that will leave you wanting chocolate…

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Week 51: Arsenal’s worst ever Premier League start

Week 51: Arsenal’s worst ever Premier League start

For Charlie’s last #MakeoverMonday dataset he provided some data related to Arsenal football club which showed how much they’re struggling under Mikel Arteta as we approach Christmas 2020. How would the community choose to present this data?

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Week 45: Dedicated Video Game Sales Units

Week 45: Dedicated Video Game Sales Units

The week 45 data saw Nintendo Switch hardware and software sales charted by the #MakeoverMonday community. As ever a relatively small dataset was creatively approached and a wide variety of submissions were received

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Week 44: Viz 5 – The Digital Gender Gap

Week 44: Viz 5 – The Digital Gender Gap

Check out this week’s video and links to the favorite visualizations for the #Viz5 challenge to visualize the digital gender gap, indicating how much access women have to the internet and mobile phones in different countries.

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Week 43: Apparel Exports to US

Week 43: Apparel Exports to US

Some fairly depressing data this week (sorry!) looking at the way large corporate organisations in the US have exploited apparel suppliers worldwide as demand for products dipped in Q2 and Q3 2020

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Week 42: Health spending

Week 42: Health spending

Check out the lessons learned for week 42 and see Eva’s favorite visualizations from this week’s data challenge. The community worked with data about healthcare spending.

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Week 41: Data assets and data culture

Week 41: Data assets and data culture

To give frazzled minds a rest after the frenetic few days of Tableau Conferenceish, a simple dataset and a chart of dubious qualities was shared with the #MakeoverMonday community for some TLC

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Week 39: #Viz5 – Child Marriage

Week 39: #Viz5 – Child Marriage

For week 39 we tackled another #Viz5 dataset, this time about child marriage. Our #MakeoverMonday community did a great job working with data about such a difficult topic and handled it with care and consideration. Check out this week’s favorites here!

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Week 38: Pick up a book and read!

Week 38: Pick up a book and read!

Week 38 came with lots of submissions from the community, visualizing the price index of books and all other consumer goods for various countries. Check out this blog post for a video containing the lessons learned and this week’s favorites.

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Week 37: School workforce in England

Week 37: School workforce in England

The data this week reflected a decade of aggregated teacher salary data from England. The #MakeoverMonday community did a great job of clearly and concisely representing this in an effective way.

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MakeoverMonday Live(ish)

MakeoverMonday Live(ish)

Join us for MakeoverMonday Live(ish) on October 5th to analyze and visualize together with thousands of people around the globe. We’ll bring the live event right into your home office and we’d love to have you join us

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Week 35: Indian batsmen v left-arm pace

Week 35: Indian batsmen v left-arm pace

Who would have thought that such a small dataset could incite such debate during Viz Review?! Lots of people were taken out of their comfort zone this week, and that’s a good thing. Lots of submissions were peppered with distracting icons and images; chart junk. In most cases, simplicity is best so the main lesson from this week for me is: if it doesn’t add to the understanding of the data, don’t add it to the visualisation!

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Week 33: Scotland – The state of the Digital Nation

Week 33: Scotland – The state of the Digital Nation

To tie in with his trip North of the border, Charlie shared some data related to tech companies based in Scotland. Do you always need to use maps when geographic data is provided? Maybe, maybe not. When executed well it certainly adds some flourish to a data viz.

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Week 31: UK visits abroad

Week 31: UK visits abroad

The #MakeoverMonday community tackled a fairly bland dataset with customary gusto this week. Here is a selection of the favourites this week.

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Week 30: Women in Power

Week 30: Women in Power

For this #MakeoverMonday and #Viz5 challenge the community visualized the proportion of women in parliaments around the world. Check out this week’s favorites here.

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Week 29: The Global Divide on Homosexuality Persists

Week 29: The Global Divide on Homosexuality Persists

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.

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Week 27: Comparing common mental disorder by sex

Week 27: Comparing common mental disorder by sex

This week we looked at data from 2014 via NHS Digital looking at self-reported symptoms of common mental health disorder. The challenge was as much the use of language and understanding of the limitations of the data, as it was to present it in a clear and effective way.

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Week 24: The rise of soccer

Week 24: The rise of soccer

The #MakeoverMonday worked on high school sports participation rates for week 24, showing the increasing popularity of soccer among girls.

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Week 21: Visualizing 40 Years of Music Industry Sales

Week 21: Visualizing 40 Years of Music Industry Sales

An exceptional week of submissions this week, where the majority were subtle variations on a solid original visualisation. A reminder to all #MakeoverMonday participants: favourites can only be selected from Twitter submissions including a static screenshot of the final visualisation; we can’t incorporate .gifs in the Favourites post so they won’t be included.

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Week 19: World Happiness Report 2020

Week 19: World Happiness Report 2020

The task this week was to try to improve upon a stacked bar chart representing metrics related to the 2020 World Happiness Report. There was a lot of variety in the submissions this week, which is reflected in the favourites. There were many, many more which came close!

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Week 18: Obstetric Fistula in Madagascar

Week 18: Obstetric Fistula in Madagascar

During week 18 we tackled another #Viz5 dataset. This month the topic was obstetric fistula in Madagascar, with a detailed dataset provided by Operation Fistula. Check out this week’s favorites here.

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