#MakeoverMonday Week 12 2021: The Cereal Industry Had a Very Weird Year
For week 12 Andy picked a dataset about cereal (and other food) consumption in the US, indicating a big change in 2020 due to a shift in buying habits from consumers during the pandemic.
#MakeoverMonday Week 10 2021: Women’s Participation in the Olympic Games
For week 10, and to celebrate International Women’s Day, we look at women’s participation in the Olympic Games over time.
#MakeoverMonday Week 5 2021: Renewables Overtake Fossil Fuels in Europe
Looking at different countries and comparing their numbers I noticed that among all EU27 countries, Latvia was the only one where production from renewables decreased since 2000, while all other countries went to increase their production from renewables.
#MakeoverMonday Week 1 2021: The Great Bicycle Boom of 2020
As we turn over the calendar to 2021, we also kick off another year of #MakeoverMonday. This week's visualization challenge is about the trail usage of people in the US, measured through observational data in outdoor areas where trails provide access to nature for people across the country.
#MakeoverMonday 2020 Week 49: Transatlantic Alliance
Analyzing the transatlantic relationships between the US and Germany via a heatmap.
#MakeoverMonday 2020 Week 47: Why America's debt doesn't stop growing
This week we tackle data about the US economy, with a visualization from the Visual Capitalist.
#MakeoverMonday 2020 Week 46: The Majority of Advertising Dollars are Now Being Spent Online
This week I create a heat map to show changes over time, supported by sparklines and specific labelling.
#MakeoverMonday 2020 Week 38: Books in Germany
Line charts are easy and quick to create in Tableau and you have great flexibility to move your date fields into any order you choose. That's how I created this week's cycle plot for book prices in Germany.
#MakeoverMonday 2020 Week 31: UK visits abroad
For this week's #MakeoverMonday we're looking at how many visits abroad people from the UK are making on a monthly basis.
#MakeoverMonday 2020 Week 25: Amazon's tiny profits explained
Fos this week's #MakeoverMonday challenge, Charlie picked a chart about Amazon's revenue vs profit. Line charts are a great way to capture time-series data at different levels of granularity.
#MakeoverMonday 2020 Week 24: The rise of soccer
In #MakeoverMonday we naturally mix heavier topics with some lighter and easier ones. We also aim to have a good variety of datasets. For this week I chose soccer in the US as a topic.
#MakeoverMonday 2020 week 1
For his first dataset, Charlie picked the topic of how popular different American sports are with spectators.In this blog I describe my Makeover approach for the original viz.