Edward Tufte describes 6 fundamental principles for analytical design. He states that they mirror the 6 principles of analytical thinking. In brief, the principles are:

1. Show comparisons, contrasts, differences.

2. Show causality, mechanism, explanation, systematic structure.

3. Show multivariate data; that is, show more than 2+ variables.

4. Completely integrate words, numbers, images, diagrams. 
—The information doesn’t care what the mode of production is.
—Integrate all formats, completely.

5. Thoroughly describe the evidence.
—Provide a detailed title, indicate the authors and sponsors, document the data sources, show complete measurement scales, point out relevant issues.
—Don’t pre-specify data-sets, display. Ask, “how can we best understand [the information]” 
—Apply Credibility principle. Document everything & tell people about it. 

6. Analytical presentations ultimately stand or fall depending on:
—Quality
—Relevance
—Integrity of content

Technology: Global Pulse: Global Pulse is assembling a technology platform to support a free and open source toolkit for sharing hypotheses and integrating, analyzing and visualizing data.

curiositycounts:

After explaining the growth of 200 countries over 200 years in 4 minutes using augmented reality, Hans Rosling explains the world of 7 billion using IKEA props.

Voted: @jakeporway for his PopTech 2011 talk. 

My last name is spelled “Porway” RT @dpatil: Nominate your choice for a Tech Fellow http://bit.ly/xWnO0c

Mapping Twitter sentiment, for GOP candidatesAs the GOP candidates battle it out to decide who will take on Obama for the US presidency, Twitter users have been commenting, analysing, debating and endorsing. And thanks to some technological wizardry, we can now see more than just what they’re saying, but where, giving us a bigger picture of Twitter activity around the political race based on location.

Source: storyful.com

♫ podcast: [Bloomberg]: Proximity & Why It Matters- Global Head of Bloomberg Enterprise Products & Solutions: http://bit.ly/rd22qd

Mining of Raw Data May Bring New Productivity »

smarterplanet: NYT:

Math majors, rejoice. Businesses are going to need tens of thousands of you in the coming years as companies grapple with a growing mountain of data.

Data is a vital raw material of the information economy, much as coal and iron ore were in the Industrial Revolution. But the business world is just beginning to learn how to process it all.

The current data surge is coming from sophisticated computer tracking of shipments, sales, suppliers and customers, as well as e-mail, Web traffic and social network comments. The quantity of business data doubles every 1.2 years, by one estimate.

Mining and analyzing these big new data sets can open the door to a new wave of innovation, accelerating productivity and economic growth. Some economists, academics and business executives see an opportunity to move beyond the payoff of the first stage of the Internet, which combined computing and low-cost communications to automate all kinds of commercial transactions.

The next stage, they say, will exploit Internet-scale data sets to discover new businesses and predict consumer behavior and market shifts.

Disconnect: Help turn privacy policies into icons

Disconnect: “A browser extension that stops major third parties and search engines from tracking the webpages you go to and searches you do.”

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