This article was posted on the website Nesta. Nesta is an innovation charity with a mission to help people and organisations bring great ideas to life 

As more public datasets are opened up, finding effective ways to communicate the messages within them becomes increasingly important. There is no shortage of data available to us, but it can be difficult to extract meaning from it in its raw state. That’s where data visualisation comes in. Effective data vis can simultaneously communicate the micro and the macro, presenting a story to the viewer through the use of size, shape and colour.

They have produced a number of data visualisations on topics ranging from the creative economy to the fight against antimicrobial resistance. You can browse them all below in the full article. 

• A Top 30 Skills Chart
• Where do the creatives cluster?
• The Unseen Network
• The fight against antimicrobial resistance across Europe 
• Full STEAM Ahead
• Meet Space: social media data and the future of events 
• Measuring the BBC's support for on-screen talent
• Recessions and Recoveries
• The Twitter network for UK MPs
• Who hires the creatives?
• Interactive data visualisations of the UK’s creative economy 
• Launching the European Digital City Index
• Local open data ecosystems - a prototype map

For more articles about data visualization, click here. 

DSC Resources

• Career: Training | Books | Cheat Sheet | Apprenticeship | Certification | Salary Surveys | Jobs
• Knowledge: Research | Competitions | Webinars | Our Book | Members Only | Search DSC
• Buzz: Business News | Announcements | Events | RSS Feeds
• Misc: Top Links | Code Snippets | External Resources | Best Blogs | Subscribe | For Bloggers

Additional Reading

• What statisticians think about data scientists
• Data Science Compared to 16 Analytic Disciplines
• 10 types of data scientists
• 91 job interview questions for data scientists
• 50 Questions to Test True Data Science Knowledge
• 24 Uses of Statistical Modeling
• 21 data science systems used by Amazon to operate its business
• Top 20 Big Data Experts to Follow (Includes Scoring Algorithm)
• 5 Data Science Leaders Share their Predictions for 2016 and Beyond
• 50 Articles about Hadoop and Related Topics
• 10 Modern Statistical Concepts Discovered by Data Scientists
• Top data science keywords on DSC
• 4 easy steps to becoming a data scientist
• 22 tips for better data science
• How to detect spurious correlations, and how to find the real ones
• 17 short tutorials all data scientists should read (and practice)
• High versus low-level data science

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge