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.
Analyzing the transatlantic relationships between the US and Germany via a heatmap.
This week we tackle data about the US economy, with a visualization from the Visual Capitalist.
This week I create a heat map to show changes over time, supported by sparklines and specific labelling.
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.
For this week’s #MakeoverMonday we’re looking at how many visits abroad people from the UK are making on a monthly basis.
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.
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.
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.
week 49, Andy picked a dataset about union membership, from an article by Mona Chalabi, who writes for the Guardian and is a recognised journalist who uses data visualisation and data art to make information more accessible.