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We're currently working with a dozen different clients, all web application (re)designs. All of these clients have data rich applications and need equally rich data visualizations to help their end customers analyze data quickly and effectively. What makes my job really interesting is that these clients are in different industries and are using different technologies.
Publishing maps to the web. Simple right? Just reproject all your data to web mercator and be done with it. Have we all learned to live with the crazy distortion? Do we need mercator to help us get our galleons from the Spanish Main back to the king?
Today I am releasing a tool that allows users to create and export an Information Wheel. Click here to access the tool. Users can:
A few weeks ago I mentioned in this blog that I would soon announce the 2012 Perceptual Edge Dashboard Design Competition. Today, the competition officially begins.
By Barnabas Nagy
A tutorial on visualizing numeric data by groups
Guardian Datastore editor Simon Rogers: Rogers said: 'We're not just data analysers, we've become data providers'
Not all that long ago, when someone mentioned data visualization images, graphics printed in the USA Today , New York Times or the Economist would instantly come to mind – not any more. Over the last two to three years there has been an explosion in the popularity of data visualization.
As Dashboard Spy readers know, dashboard chart selection is fraught with peril and the subject of many books and blogs. I’ve written at length about the relative merits of different chart types and stress how the decision of which chart to use should not be made frivolously nor at random.
The more visually inclined we become in our quest to consume information, the blurrier the line between data vis and infographic gets.
In my recent article posted on May 16, I compared functionalities for R, Octave and Python at a very high level. The article received many insightful comments.
Your online visualization options are limited when you don't know how to program.
Revolution Analytics is hosting several live and online courses over the next couple of months that will be of interest to R users looking to hone their skills: Visualization in R with ggplot2 .