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Data visualisation DIY: our top tools What data visualisation tools are out there on the web that are easy to use - and free? Here on the Datablog and Datastore we try to do as much as possible using the internet's powerful free options. That may sound a little disingenuous, in that we obviously have access to the Guardian's amazing Graphics and interactive teams for those pieces where we have a little more time - such as this map of public spending (created using Adobe Illustrator) or this Twitter riots interactive. But for our day-to-day work, we often use tools that anyone can - and create graphics that anyone else can too. So, what do we use? Google fusion tables

gheat - heatmaps for Google Maps Google Maps gives you API for adding additional map layers. This software implements a map tile server for a heatmap layer. Gheat for ... Gheat for App Engine Gheat for Aspen (original version) How to: get to grips with data journalism A graph showing the number of IEDs cleared from the Afghanistan War Logs Only a couple of years ago, the idea that journalists would need to know how to use a spreadsheet would have been laughed out of the newsroom. Now those benighted days are way behind us and extracting stories out of data is part of every journalist's toolkit of skills. Some people say the answer is to become a sort of super hacker, write code and immerse yourself in SQL. If you decide to take that approach, you can find a load of resources here. But a lot of the work we do is just in excel and that's what I'll deal with here.

Digital Dashboards, Scorecards Consulting PureShare No Reports - Just Answers! PureShare develops software-based proactive management tools that eliminate the need for reports, manual spreadsheets and slide-ware. With PureShare, executives, managers and staff gain direct, anytime access to management metrics that can be used on a daily basis. Wisdom of small crowds, part 3: another worker visualization This is a follow-up to the previous post on individual workloads and rates. Here are the submission times and durations for every worker on the same graph. Each worker is one horizontal line. An assignment is started at a dot, and its duration is for the line segment extending to the right. The particular data set isn't the same as in the previous post, but was for a similar task and exhibits a similar structure. Worker rates substantially differ.

User:Poulpy/gallery From Wikimedia Commons, the free media repository Sun Dec 30 04:33:54 CET 2012[edit] Kabufuda card: 1 (alternate design)Kabufuda card: 1 (standard design)Kabufuda card: 4 (alternate design)Kabufuda card: 4 (standard design)Kabufuda card: blank card The secrets to successful data visualization Effective data visualization is about more than designing an eye-catching graphic. It's about telling a clear and accurate story that draws readers in via powerful choices of shapes and colors. These are some of the observations you'll find in the insightful new book Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics (Wiley) by Nathan Yau, the blogger behind the popular site Flowing Data. On his blog, Yau analyzes a wide variety of graphs and charts from around the world--and often sparks online discussions and debates among designers. For a brief introduction to his book's key points, check out this video from Yau's publisher, below. And keep reading for my short review of Visualize This, as well as my Q & A with Yau, in which he offers some fresh tips you won't find in the book.

Horoscoped Do horoscopes really all just say the same thing? We scraped & analysed 22,000 to see. See our completed meta-horoscope chart and make up your own mind. We’ve also created a single meta-prediction out of the most common words.. How do you gather 22,000 horoscopes?

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