Day 9 of 28 Days of Tax Data
From Perot Charts
I almost forgot about Ross Perot and his charts. This is from a site someone set up (can’t figure out who) with some of them updated up until 2007:
Popularity: 1% [?]
Making the “Invisible Hand” Visible
Day 9 of 28 Days of Tax Data
From Perot Charts
I almost forgot about Ross Perot and his charts. This is from a site someone set up (can’t figure out who) with some of them updated up until 2007:
Popularity: 1% [?]
Created by Joe Swainson, recent graduate of University Arts London (Camberwell College). He created this poster to show the shift in our world economy with emergence of certain markets. Countries covered are: United States, Japan, Germany, United Kingdom, France, Italy, Russia, Brazil, India, China. Data sources are United Nations historical data and Goldman Sachs forecasting data.
Each circle represents the size of the nation’s economy every decade from 1970 to 2050. The countries are ranked by GDP each decade from largest to smallest. Pay attention to the forecast for China, India and Brazil
If you are interested in having your work posted to Visualizing Economics let me know. Send me an email at catherine[at]visualizingeconomics.com with an example and explanation of your design, the source of your data and a link to your web site.
Popularity: 4% [?]

The piece consists of two layers: the lower half is a mapping of the
world’s GDP and the top half is a mapping of the derivatives volume,
alloted to the coordinates of the countries on a map.
Sculpture found via infomation aesthetics
Popularity: 4% [?]
Good Magazine in collaboration with Nigel Holmes created this historical survey of the US economy. The graph shows the GDP (grey) and the National Debt: real dollars (solid red line) and actual dollars (dotted red line)
{Click on the image to take a closer look}
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[tags]United States, GDP, National Debt[/tags]
Popularity: 8% [?]
Measuring Worth
US/UK econ & population series from 1700s. UK Gold, Earnings and Retail prices back to 1260s.
This site lets you graph data and calculate Annualized Growth Rates for various time periods
Popularity: 7% [?]