Data Visualization Techniques in Action: DataViz Weekly May 5th, 2017 by Andrey
Data visualization techniques are an amazing means of communicating information. Their proper implementation enhances understanding of data and can be very helpful in clarifying (and even revealing) differences, trends, relationships, and other patterns and related aspects within data sets.
We keep on showing you interesting data visualization examples on a regular basis, within the framework of Data Visualization Weekly (and in earlier recaps of the week). And we hope you’ll find the current issue of the series worth checking out, great as another portion of inspiration and examples of how data visualization techniques work, or – at least – just interesting in terms of facts and trends communicated.
So, here’s a small selection from what we noticed on the Web and shared on social networks within the last seven days.
Data Visualization Weekly: April 28, 2017 – May 5, 2017
Data Visualization Techniques Explain Why Holding Cash Is Dangerous
Keeping money in cash deposits for a long time can be dangerous to your wealth, even when inflation is low. This chart published on The Telegraph clearly proves that this is true even with low inflation. This visualization, based on Bank of England’s data, depicts nominal and real bank rates between the years of 2007 and 2017. And that’s how £10,000 on a saving account is turning £9.041 over the course of 10 years.
Visualizing U.S. States’ Dependence on International Trade
The infographics visualization pictured above displays how globalized each state of the United States of America is in terms of economy. You can find it published and explained on ValueWalk. As we see, Michigan, Louisiana, South Carolina, Tennessee, and Kentucky depend on foreign trade the most.
Interactive JS Map of 35 Most Amazing National Parks on Earth
Chart of Seat Losses of U.S. Presidents’ Parties in First Midterm Election
Thanks for your attention to the new Data Visualization Weekly issue! Whenever you find or make new visualizations that you think are nice examples of using cool data visualization techniques or just worth seeing, please feel free to send them in. You are more than welcome to use Twitter and Facebook for that, if you’d like. And then your work (or the one you’ve just discovered) will get a great chance to be featured in our regular posts here, too.
Have a nice weekend time, folks!