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Welcome to Graphviz Available translations:Belorussian What is Graphviz? Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. Features The Graphviz layout programs take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser. (Graphviz also supports GXL, an XML dialect.) Graphviz has many useful features for concrete diagrams, such as options for colors, fonts, tabular node layouts, line styles, hyperlinks, rolland custom shapes.

Charts and graphs are the best ways to represent information and relationship between two interlinked entities. Not only do charts and graphs inform visitors about the trend or relationship you want to show them but also add a visual connection with the visitors. Several online tools are available that help you create comprehensively designed flowcharts and graphs that worth a thousands words. Check them out and let us know what you feel about these tools. http://www.smashingapps.com/2011/08/26/45-free-online-tools-to-create-charts-diagrams-and-flowcharts.html

Zanran helps you to find 'semi-structured' data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart shown as an image in an HTML page. This huge amount of information can be difficult to find using conventional search engines, which are focused primarily on finding text rather than graphs, tables and bar charts. Put more simply: Zanran is Google for data. Language. English only please... for now. Phrase search. You can use double quotes to make phrases (e.g. "mobile phones"). Booleans. You can use a plus '+' to make a word mandatory, or a minus '-' to exclude it (e.g. +gas -oil production) Vocabulary. We have only limited synonyms - please try different words in your query. And we don't spell-check ... yet.

OpenData Open Data

Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java.

"ReConstitution 2012, a fun experiment by Sosolimited, processes transcripts from the presidential debates, and recreates them with animated words and charts. Part data visualization, part experimental typography, ReConstitution 2012 is a live web app linked to the US Presidential Debates. During and after the three debates, language used by the candidates generates a live graphical map of the events. Algorithms track the psychological states of Romney and Obama and compare them to past candidates. The app allows the user to get beyond the punditry and discover the hidden meaning in the words chosen by the candidates. As you let the transcript run, numbers followed by their units (like "18 months") flash on the screen, and trigger words for emotions like positivity, negativity, and rage are highlighted yellow, blue, and red, respectively. You can also see the classifications in graph form. There are a handful of less straightforward text classifications for truthy and suicidal, which are based on linguistic studies, which in turn are based on word frequencies. These estimates are more fuzzy. So, as the creators suggest, it's best not to interpret the project as an analytical tool, and more of a fun way to look back at the debate, which it is. It's pretty fun to watch. Here's a short video from Sosolimited for more on how the application works: "

What is it? A social analytics platform which contains over 1,000 days of tweets (all 70 billion of them), Facebook activity and blog posts. How is it of use to journalists? "Journalists can easily develop real-time insights into any story from Playground," PeopleBrowsr UK CEO Andrew Grill explains. Complex keyword searches can be divided by user influence, geolocation, sentiment, and virtual communities of people with shared interests and affinities. These features - and many more - let reporters and researchers easily drill down to find the people and content driving the conversation on social networks on any subject. Playground lets you use the data the way you want to use it. You can either export the graphs and tables that the site produces automatically or export the results in a CSV file to create your own visualisations, which could potentially make it the next favourite tool of data journalists. Grill added: The recent launch of our fully transparent Kred influencer platform will make it faster and easier for journalists to find key influencers in a particular community. You can give Playground a try for the first 14 days before signing up for one of their subscriptions ($19 a month for students and journalists, $149 for organisations and companies).

How to make searchable, Web-based Google charts Michelle Minkoff by Michelle Minkoff Published June 3, 2011 12:01 am Updated June 2, 2011 10:22 pm A lot of data visualization requires the technical expertise of a programmer and skills that take time and resources to develop. A rise in free tools, however, has made it easier to make interactive graphs in charts, whether you're a designer, developer, Web producer or hobbyist. The Google Visualization API, for instance, gives you options without making the work too complicated. I've created a tutorial below to help you make simple, Web-based Google charts. (You can click on any of the screenshots to go to a larger version.) In the first example, we'll craft an interactive bar chart that compares the numbers of tornado-related deaths in the United States throughout the past four years. We'll use data from the National Oceanic and Atmospheric Administration (NOAA), which can be found here. (You can download a cleaned version of this data here, formatted as a comma-delimited file, CSV.) http://www.poynter.org/how-tos/newsgathering-storytelling/126595/how-to-make-simple-web-based-google-charts

By Dan Nguyen Reactions to Osama bin Laden's death: Female and non-U.S. residents more ambivalent. Via the NYT Reactions Matrix By Dan Nguyen | Published: May 9, 2011 This (totally not-double-checked) analysis is a riff off of the excellent New York Times visualization (The Death of a Terrorist: A Turning Point?) of how people reacted to Osama bin Laden's death. In the days following the news, the Times asked online readers to not only write their thoughts on bin Laden's killing, but put a mark on a scatterplot graph that best described their reaction. The Times used the data to show the continuum of reactions from everyone who participated. I wanted to see how reactions differed across geographical location and gender. Includes details of his methodology (and a bit on that of the original NYT graphic)

if you go to the website testingbenfordslaw.com you'll see the proportions of each leading digit from lots of real-world datasets, graphed alongside what Benford's law predicts they should be, with data from Twitter users' follower counts to the number of books in different libraries across the US

The special trick that helps identify dodgy stats Using Benford's law, forensic statisticians can spot suspicious patterns in the raw numbers, and estimate the chances figures have been tampered with