Data
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Note: The following is an excerpt from Pete Warden's free ebook "Where are the bodies buried on the web? Big data for journalists." There's been a revolution in data over the last few years, driven by an astonishing drop in the price of gathering and analyzing massive amounts of information. It only cost me $120 to gather, analyze and visualize 220 million public Facebook profiles , and you can use 80legs to download a million web pages for just $2.20 . Those are just two examples. The technology is also getting easier to use.
4 free data tools for journalists (and snoops) - O'Reilly Radar
The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course we have been teaching in various forms at Stanford University and at the University of Stuttgart . We'd be pleased to get feedback about how this book works out as a textbook, what is missing, or covered in too much detail, or what is simply wrong. Please send any feedback or comments to: informationretrieval (at) yahoogroups (dot) com
Introduction to Information Retrieval
[Last updated: 18 April 2011 -- added statistical NLP book link] There is something extraordinarily rich in the intersection of computer science and journalism. It feels like there’s a nascent field in the making, tied to the rise of the internet. The last few years have seen calls for a new class of “ programmer journalist ” and the birth of a community of hacks and hackers .
Jonathan Stray » A computational journalism reading list
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Data | The World Bank
The 70 Online Databases that Define Our Planet - Technology Review
Back in April, we looked at an ambitious European plan to simulate the entire planet . The idea is to exploit the huge amounts of data generated by financial markets, health records, social media and climate monitoring to model the planet's climate, societies and economy. The vision is that a system like this can help to understand and predict crises before they occur so that governments can take appropriate measures in advance.
Tools to help bring data to your journalism NOTE: This entry was modified on the evening of 11/9/10 to deal with typos and missing words, resulting from posting this too late the previous night. Sleep deprivation isn’t always a good thing — although it allows one to do things more fun than sleep. Like play with data.
Tools to help bring data to your journalism « Michelle Minkoff
Real-Time Data And A More Personalized Web - Smashing Magazine
As Web designers, we face a daily struggle to keep pace with advances in technology, new standards and new user expectations. We spend a large part of our working life dipping in and out of recent developments in an attempt to stay both relevant and competitive, and while this is what makes our industry so exciting to be a part of, it often becomes all too easy to get caught up in the finer details. Responsive Web design , improved semantics 1 and rich Web typography 2 have all seen their fair share of the limelight over the last year, but two developments in particular mark true milestones in the maturation of the Web: “real-time data” and a more “personalized Web.” Since the arrival of the new Web, we’ve been enraptured by social media. We share links, we “follow,” we “poke,” we’ve become accustomed to it all. Through no fault of our own, we’ve become lazy users .
Open data cook book | Making open data accessible for everyone
Making Open Data Accessible for Everyone The open data cook book is collecting recipes for ways to find and use open data, particularly open data of social value - such as open government data, or open data for campaigners and charities. Working with data can seem scary. But it doesn't have to be. There are many different ways to make data useful - and lots of different gadgets to help you. After a brief experiment with Drupal as a CMS for the cook book - we've switched to DokuWiki for a bit to make compiling a list of recipes a lot easier before we work out the best way to run the Cook Book.
Henri Verdier Blog: Big Data : Making sense at scale
D'un récent voyage dans la Silicon Valley (merci aux amis du Orange Institute ), je rentre avec une conviction : tout ce que nous connaissions du web va changer à nouveau avec le phénomène des big data . Il pose à nouveau, sur des bases différentes, presque toutes les questions liées à la transformation numérique. En 2008, l’humanité a déversé 480 milliards de Gigabytes sur Internet.Orange - Data Mining Fruitful & Fun
Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining.
DataMarket - Find and Understand Data — DataMarket
Explore datasets from the most important data providers, upload your own data, build reports and create beautiful visualizations in seconds.One of the most popular trends in online journalism is taking publicly available data and translating it into visualizations or infographics that readers and viewers can quickly and easily understand. A large percentage of the visualizations you see on the web were built from scratch, which can take a considerable amount of time and effort. The following sites allow you to mash your data in record time. Swivel features more than 15,000 data sets for users to play with in various categories ranging from Economics to Health to Technology. From the data, users have created hundreds of thousands of graphs, charts and infographics, including the one below that visualizes the amount of rainfall in California since 1870.