Data.gov Confirmed: PaidContent Bought By the Guardian - Here's How Media The trailblazing blog PaidContent, specializing in coverage of the business of new media, will be acquired by the Guardian Media Group, writes Kara Swisher tonight in a very sweet scoop. As Swisher says, it's a coup for new media - but it's another great move by the Guardian Media Group as well. Kara Swisher expects an announcement tomorrow, but the deal was essentially confirmed a few minutes ago on Twitter in a conversation between the Guardian's Technology Editor Charles Arthur and travel writer Craig McGinty. Jeff Jarvis also says he's got embargoed info on it - so this sounds very real. Below are our thoughts about what it means. PaidContent is a blog that some readers here may not be familiar with, but it has been among the top revenue generators among high-profile new media outlets for several years. What PaidContent Does PaidContent is regularly the first to report on fundings and acquisitions and the site combines speed with high quality writing. The Guardian is On Fire
d3.js APIs The Article Search API Search Times articles from 1851 to today, retrieving headlines, abstracts and links to associated multimedia. The Books API Retrieve New York Times book reviews and get data from all best-seller lists. The Campaign Finance API Get presidential campaign contribution and expenditure data based on United States Federal Election Commission filings. The Community API Get comments by NYTimes.com users. The Congress API Get U.S. The Districts API Get political districts based on a pair of coordinates. The Event Listings API Get information about hand-picked events in New York City and the surrounding area. The Geographic API Use linked data to enhance location concepts used in The New York Times' controlled vocabulary. The Most Popular API Get links and metadata for the blog posts and articles that are most frequently e-mailed, shared and viewed by NYTimes.com readers. The Movie Reviews API Get links to reviews and NYT Critics' Picks, and search movie reviews by keyword. The Semantic API
Fusion Tables (Beta) Bust your data out of its silo! Get more from data with Fusion Tables. Fusion Tables is an experimental data visualization web application to gather, visualize, and share data tables. Visualize bigger table data online Filter and summarize across hundreds of thousands of rows. Two tables are better than one! Merge two or three tables to generate a single visualization that includes both sets of data. Make a map in minutes Host data online - and stay in control Viewers located anywhere can produce charts or maps from it. Visualize bigger table data online Import your own data Upload data tables from spreadsheets or CSV files, even KML. Visualize it instantly See the data on a map or as a chart immediately. Publish your visualization on other web properties Now that you've got that nice map or chart of your data, you can embed it in a web page or blog post. See how journalists and nonprofits around the world use Fusion Tables Two tables are better than one! Make a map in minutes Share that map!
22 free tools for data visualization and analysis Review April 20, 2011 06:00 AM ET Computerworld - You may not think you've got much in common with an investigative journalist or an academic medical researcher. But if you're trying to extract useful information from an ever-increasing inflow of data, you'll likely find visualization useful -- whether it's to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience. Want to see all the tools at once? For quick reference, check out our chart listing all the tools profiled here. There are many tools around to help turn data into graphics, but they can carry hefty price tags. Related Blog Here's a rundown of some of the better-known options, many of which were demonstrated at the Computer-Assisted Reporting (CAR) conference last month. Data cleaning Before you can analyze and visualize data, it often needs to be "cleaned." DataWrangler Click on a row or column, and DataWrangler will suggest changes.
Datasets - Gephi:Wiki Gephi sample datasets, in various format (GEXF, GDF, GML, NET, GraphML, DL, DOT). Feel free to add new datasets. Be sure you cite original authors. Supported graph formats are described here. Note that Gephi can open these files without the need to be unzipped. Web and Internet [GEXF] EuroSiS web mapping study: Mapping interactions between Science in Society actors on the Web of 12 European countries. [GML] Internet: a symmetrized snapshot of the structure of the Internet at the level of autonomous systems, reconstructed from BGP tables posted by the University of Oregon Route Views Project. Social networks [GML] Les Miserables: coappearance weighted network of characters in the novel Les Miserables. [GEXF] Hypertext 2009 dynamic contact network: contact network during the Hypertext 2009 conference. [GML] Zachary's karate club: social network of friendships between 34 members of a karate club at a US university in the 1970s. [TGZ] Github open source developers. Biological networks [GEXF] C.
Data visualisation DIY: our top tools | News 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 This online database and mapping tool has become our default for producing quick and detailed maps, especially those where you need to zoom in. The main advantage is the flexibility - you can can upload a kml file of regional borders, say - and then merge that with a data table. This excellent tutorial by Google's Kathryn Hurley is a great place to start. Datamarket
Datavisualization.ch Selected Tools