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 5
This week we focused on visualizing the Digital Economy and Society Index (DESI), which is a composite index that summarises relevant indicators on Europe’s digital performance and tracks the evolution of EU member states in digital competitiveness. The score is calculated as the weighted average of the five main DESI dimensions: Connectivity (25%), Human Capital (25%), Use of Internet (15%), Integration of Digital Technology (20%) and Digital Public Services (15%). The original visualization and dataset is here in case you are interested, and the data source is from European Commission.
In most of my previous visuals, I have been focused on comparing the valus among different entities or different values across time. This time, I noticed that the dataset also contains the European 28 weighted score, which is a very good benchmark for each coungtry. Therefore, I decide to go for a different direction, which is to compare a single value to a aggregated benchmark, and help users understand how does each country perform in terms of DESI.
In this dataset, I found three levels of granularity of the dataset, which are countries, 5 dimensions, and also years, and I wanted my visualization to incorporate all of them in a user-friendly way, so I included parameters with multiple calculated fields to help me highlight and compare the data points that users are interested in.
Insights
- All of the countries are experiencing an increasing trend throughout the past 5 years in terms of DESI.
- Denmark, Sweden, Finland and Netherlands have always been strong in overall DESI score, while Greece, Romania, and Bulgaria were always among the worst ones.