About Makeover Monday
MakeoverMonday is a social data project which “offers inspiration and a dose of perspective for those who communicate data, and allow people to explore different perspectives and approaches to create more effective visualizations.”
To be more specific, “Each week we post a link to a chart, and its data, and then you rework the chart. Maybe you retell the story more effectively, or find a new story in the data. We’re curious to see the different approaches you all take. Whether it’s a simple bar chart or an elaborate infographic, we encourage everyone of all skills to partake. Together we can have broader conversations about and with data.”
Inspired by Dong Yu (an amazing data analyst also graduated from USC), I started this project from January 2019 and hope to better understand how to interpret data and translate insights into impactful visualizations.
All my Tableau visualizations can be found here through my Teableau Public profile.
Makeover Monday Week 4
This week we focused on visualizing the engergy usage at 10 Downing street, which is famous for being the headquarters of the Government of the United Kingdom and the official residence and office of the Prime Minister of the United Kingdom. The original visualization and dataset is here in case you are interested, and the data source is from Carbon Cuture.
This time I decided to learn another new infographic, heatmap calendar, which is perfect for this situation where we want to see how the usage of electricity varied throughout the year (check out this video for a full tutorial if you are interested in how to make a heatmap calendar in Tableau).
I also added a line graph below to outline the hourly usage pattern of each day. You can click on the day that you are interested in on the calendar to zoom in on that specific day.
Insights
- More electricity was used in winter (November, December, January, and Febuary) and summer (June and July), which makes sense due to increasing usage of heating and air conditioner.
- Usage during daytime or working hours were higher than night-time.