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My ebook is now live . You can buy it from Leanpub here . Leanpub allows you to publish in installments, so you get an alert every time new content is added and update your version.
Who can resist a colourful, thoughtful venn diagram anyway? In terms of blogging success, infographics are far more likely to be shared than your average blog post. This means more eyeballs on your important information, more people rallying for your cause, more backlinks and more visits to your blog. In short, a quality infographic done well could be what your blog needs right now.
I’ve been focusing so much on blogging the bells and whistles stuff that Google Refine does that I’ve never actually written about its most simple function: cleaning data. So, here’s what it does and how to do it: Download and install Google Refine if you haven’t already done so. It’s free. Run it – it uses your default browser.
Photo by Dan Nguyen/ProPublica Our Dollars for Docs news application  lets readers search pharmaceutical company payments to doctors. We’ve written a series of how-to guides explaining how we collected the data. Most of the techniques are within the ability of the moderately experienced programmer. The most difficult-to-scrape site  was actually a previous Adobe Flash incarnation  of Eli Lilly’s disclosure site. Lilly has since released their data in PDF format  .
Tools for multivariate data Datagraph , http://www.visualdatatools.com/DataGraph/index.html . DataGraph is a simple and powerful graphing application for Mac OS X. It is a great companion for Excel, Numbers or any of the big statistical packages. Commercial product with free demo available. GGobi , is visualization software for viewing high-dimensional data.
[outils] Datawrapper: mettre en forme facilement des statistiques (courbes, histogrammes, camemberts)Voici un nouvel outil simple d’utilisation pour mettre en forme des données statistiques sur le web. Il s’appelle Datawrapper et a été développé par Mirko Lorenz et Nicolas Kayser-Bril . Datawrapper a été développé pour ABZV, une organisation de formation des journalistes affiliée à BDVZ (Association des éditeurs de presse allemands). Le projet fait partie de leurs efforts pour bâtir un programme de formation complet pour les journalistes. Avec Datawrapper, l’idée est de rendre encore plus simple la mise en forme de données. Plus simple qu’avec ManyEyes ou Google Docs et très facilement « embeddable » (intégrable) sur un site web.
Google Fusion Tables (ci-dessus, une carte des Etats-Unis montrant le pourcentage de foyers ayant un accès Internet en 2007, par états, d'après le bureau américain du recensement) Vous avez des données à explorer ? Voici quelques outils qui pourront vous être utiles pour les transformer en informations et en graphiques attrayants. Pour faire parler des données, rien ne vaut une panoplie d'outils de visualisation graphique.
This post originally appeared on the American Express OPEN Forum , where Mashable regularly contributes articles about leveraging social media and technology in small business. As a freelancer or job seeker, it is important to have a resume that stands out among the rest — one of the more visually pleasing options on the market today is the infographic resume. An infographic resume enables a job seeker to better visualize his or her career history, education and skills. Unfortunately, not everyone is a graphic designer, and whipping up a professional-looking infographic resume can be a difficult task for the technically unskilled job seeker. For those of us not talented in design, it can also be costly to hire an experienced designer to toil over a career-centric infographic. Luckily, a number of companies are picking up on this growing trend and building apps to enable the average job seeker to create a beautiful resume.
With more and more civic data becoming available and accessible, the challenge grows for policy makers and citizens to leverage that data for better decision-making. It is often difficult to understand context and perform analysis. “Weave” , however, helps. A web-based data visualization tool, Weave enables users to explore, analyze, visualize and disseminate data online from any location at any time. We saw tremendous potential in the platform and have been helping open-source the software, advising on community engagement strategy and licensing. This week, we were excited to see the soft launch of the Weave 1.0 Beta, which went open-source on Wednesday, June 15.
Talking Points Memo used TimelineSetter to create a timeline featuring events in Wisconsin’s public-sector union struggle. Last week we announced  TimelineSetter, our new tool for creating beautiful interactive HTML timelines. Today, after a short private beta with some of our fellow news application developers, we’re opening the code to everyone. How to Install If you’ve got Ruby and Rubygems installed, you can get the package by running: sudo gem install timeline_setter
An intensity map showing the population density for different ethnic groups in Texas What is it? Google Fusion Tables allows users to create data visualisations such as maps, charts, graphs and timelines.
It’s an often encountered situation, but one that can be a pain to address – merging data from two sources around a common column. Here’s a way of doing it in Google Refine… Here are a couple of example datasets to import into separate Google Refine projects if you want to play along, both courtesy of the Guardian data blog (pulled through the Google Spreadsheets to Yahoo pipes proxy mentioned here ): - University fees data ( CSV via pipes proxy )
Every journalist needs to know about data. It is not just the preserve of the investigative journalist but can – and should – be used by reporters writing for local papers, magazines, the consumer and trade press and for online publications. Think about crime statistics, government spending, bin collections, hospital infections and missing kittens and tell me data journalism is not relevant to your title. If you think you need to be a hacker as well as a hack then you are wrong.
This is the third part of a multi-part series designed to share with readers an inspiring collection of the most important, effective, useful and practical data visualisation resources. The series will cover visualisation tools, resources for sourcing and handling data, online learning tutorials, visualisation blogs, visualisation books and academic papers. Your feedback is most welcome to help capture any additions or revisions so that this collection can live up to its claim as the essential list of resources. This third part presents the suite of charting and visualisation resources developed by Google, effective and accessible tools for the masses. Through the typical nature of Google developments, these are constantly evolving development platforms, occasionally mutating, sometime separating, sometime merging. It can be difficult to keep track, hopefully this will bring some clarity.