Week 44: Everybody poops

Week 44: Everybody poops

Original visualization | Data set on data.world | Viz Review Webinar For week 44 we asked our community to tackle a clean dataset about a dirty matter: washing your hands after pooping. As it turns out, a lot of people in the UK don’t always wash their hands...
Week 40: Avocado Prices

Week 40: Avocado Prices

Original visualization | Data set on data.world | Viz Review Webinar Week 40 has come and gone and we’re getting very close to TC18 where many of us will get together for #MakeoverMonday live. If you haven’t yet, add it to your session builder to reserve...
Week 39: Visualizing Equality

Week 39: Visualizing Equality

Original visualization | Data set on data.world | Viz Review Webinar A message of thanks from Equal Measures 2030 for the impact you all have made: EM2030 is all about making data more compelling, accessible and available to gender equality champions and through their...
Week 37: Paying the President

Week 37: Paying the President

Original visualization | Data set on data.world | Viz Review Webinar Another plea deal this week, more Trump controversy. Seemed like a good time to look at money spent at Trump properties during the presidential campaign and since Trump became President. This week we...
Week 36: Nike Manufacturing Map

Week 36: Nike Manufacturing Map

Original visualization | Data set on data.world | Viz Review Webinar Sometimes we provide vizzes that are part of a newspaper article or a blog, other times they are just vizzes. This week the viz to be made over was an interactive world map about Nike factories....
Week 34: ACLED visualizing conflict

Week 34: ACLED visualizing conflict

Original visualization | Data set on data.world | Viz Review Webinar 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...
Week 33: Anthony Bourdain’s Travels

Week 33: Anthony Bourdain’s Travels

Original visualization | Data set on data.world | Viz Review Webinar For week 33, we look at the episodes of all of Anthony Bourdain’s TV shows. I need to start with two thank yous: Christine Zhang for creating the data and creating the viz to makeover. Ann...
Week 31: Big Mac Index

Week 31: Big Mac Index

Week 31 was a collaboration with The Economist and if this data set looks familiar to you, that’s because it was used for Iron Viz Europe earlier this summer. Thank you to Andy Cotgreave for coming up with the idea for this collaboration and his support to see...
Week 30: Parental leave in the OECD

Week 30: Parental leave in the OECD

Original visualization | Data set on data.world | Viz Review Webinar 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. We saw a lot of great makeovers for this data...
Week 28: Volcano Eruptions

Week 28: Volcano Eruptions

This week I provided a dataset containing Volcano Eruptions from 1436 volcanoes. The original viz fascinated me and the topic was one I hadn’t explored. So, similar to our Turkey Vulture migration patterns at the beginning of this year, I was intrigued to see...
Week 27: Rat Sightings in New York City

Week 27: Rat Sightings in New York City

Week 26 was about bike hires in London, this week was about rats in New York City. They may seem like completely opposite topics, but the data is remarkably similar. I intentionally chose this data set because I was curious to see how different the visuals would be...
Week 26: London Cycle Hire Usage

Week 26: London Cycle Hire Usage

Dataset and original Viz | Viz Review (Recording) 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’. We originally planned for a different dataset and then...
Week 24: Tourism Density Index

Week 24: Tourism Density Index

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 dataset I provided was very simple with just 20 rows across 6 columns. 20 countries were ranked based on...
Week 23: U.K. Gender Pay Gap

Week 23: U.K. Gender Pay Gap

This week’s Makeover Monday topic came about when Tom Brown introduced me to Aisling Roberts, author of the article Gender Pay Gap Reporting 2018 – What Difference Could it Make? Aisling pointed me to a dataset on gov.uk that contains all companies in the...