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Hello, this is the Open Flash Chart project. Note: "Open Flash Chart 2" is LGPL. OK, Open Flash Chart 1.x was great and it works like a dream. But I made some little mistakes which over time grew and anyoyed me and made the source code weird. So I decided it was time to re-jigger the code and make it pretty again. The big change is moving the data format to JSON. This has made a big difference and has allowed some pretty cool new features. While I was hacking away at the source code I moved it all to Actionscript 3, and used Adobe Flex to compile it. This means everything is open source. If you want to make changes to the charts all you need is laid out in these instructions. Just because there is a new version doesn't make V 1.x obsolete. You can use both versions at the same time so leave your current working code in V 1.x and make all the new charts using which ever version you find easier to use. Why is V2 better? Well it uses JSON as the file format and this means you can do cool stuff like Grant Slender has: http://code.google.com/p/ofcgwt/ If you like Open Flash Chart and want to see it continue, please help Donate some money :-) Blog about it (promotion takes up about a third of my time) Write a cool library Really. You can make a massive difference to the project! Need help choosing reseller hosting for your charts? Make sure you read reliable web hosting reviews. Why choose Open Flash Chart? This is a little gentle propaganda for the project. Like all opinions, disregard it and make up your own mind. Edge cases such as tooltips encourage user interactivity and data exploration what happens to the tooltip when two points are in the same position? you can re-size the charts missing data save the chart as an image You can highlight or emphasize one (or many) points PC Pro loves open flash chart. Server Side Helper Libraries PHP, Perl, Python, Ruby, .NET, Google Web Toolkit and JAVA. Libraries. Next: Che

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

Highcharts Highcharts is a charting library written in pure JavaScript, offering intuitive, interactive charts to your web site or web application. Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange and polar chart types.

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

Beautiful but Terrible Pyramids: Tableau Edition by Jorge Camoes on July 12, 2011 Well, here is my first chart in Tableau, finally! After publishing my experiments with population pyramids (using Excel), I thought I could try Tableau Public with the same dataset from the US Census Bureau. Here is the result. I never really played before with Tableau Public and it took my less than an hour to upload the data and make this chart, without reading a manual or watching a tutorial (changing line colors was the hard part). It says a lot about its usability. http://www.excelcharts.com/blog/beautiful-but-terrible-pyramids-tableau-edition/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+JCCharts+%28Excel+Charts+Blog%29

Select your favorite nation. Note how this could be used to illustrate population changes for a single nation over time or nation-to-nation comparisons.

Solving the Pie Chris Gemignani December 14, 2006 By: Chris Gemignani Last week I challenged you to reproduce this alternative to pie charts in Excel. I promised a screencast to show how it's done. http://juiceanalytics.com/writing/2006/12/square-pie-screencast/ Square Pie Eighteen people answered the call with nearly three dozen different solutions. Click here to watch the screencast showing how to accomplish the two most popular solutions; filling cells with conditional formatting and pushing the column chart to extremes. If you want to look at the source,Clint Ivy produced an excellent version of the cell filling approach.

Interactive charts add heft to your data stories Posted Feb. 16 - 10 a.m. in MJ Bear Fellows, Resources by Lucas Timmons Filed under data Data journalism can be very compelling. Stitched with a good narrative, it can tell one amazing story. But we can do better than that. We can also visualize the data and provide a great package. With that in mind, here are three free options for creating animated and interactive charts.

Perception: Gestalt Laws Home → Data visualization for Excel users → Perception: Gestalt Laws Every chart starts with a table. We transcribe this table into a visual representation of distances between data points: the "origin chart". That's when our "eye-brain system" starts making assumptions. It assumes that data points are somewhat related, even if they are not:

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

ntroduction to Infographics and Data Visualization: Knight Center's first Massive Open Online Course "Bookmark Registration is now open for the Knight Center's first MOOC (Massive Open Online Course). The course will formally begin on Sunday, October 28, 2012 through Saturday, December 8, 2012. Below are course details and how to register. The introductory area of the course is now available to enrolled students. The introductory area includes access to the course syllabus and the introductory overview video for the course. Course Dates: Sunday, October 28, 2012 - Saturday, December 8, 2012 Course Language: English Instructor: Alberto Cairo Course Objectives: * How to analyze and critique infographics and visualizations in newspapers, books, TV, etc., and how to propose alternatives that would improve them. * How to plan for data-based storytelling through charts, maps, and diagrams. * How to design infographics and visualizations that are not just attractive but, above all, informative, deep, and accurate. * The rules of graphic design and of interaction design, applied to infographics and visualizations. * Optional: How to use Adobe Illustrator to create infographics.

Enclosure diagrams are also space-filling, using containment rather than adjacency to represent the hierarchy. As with adjacency diagrams, the size of any node in the tree is quickly revealed. Although circle packing does not use space as efficiently as a treemap, the "wasted" space effectively reveals the hierarchy. At the same time, node sizes can be rapidly compared using area judgments. By flattening the hierarchy, the pack layout can also be used to create bubble charts.

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: "

I came back from last year's National Institute for Computer-Assisted Reporting (NICAR) conference with 22 free tools for data visualization and analysis -- most of which are still popular and worth a look. At this year's conference, I learned about other free (or at least inexpensive) tools for data analysis and presentation. Want to see all the tools from last year and 2012? For quick reference, check out our chart listing all 30 free data visualization and analysis tools. Like that previous group of 22 tools, these range from easy enough for a beginner (i.e., anyone who can do rudimentary spreadsheet data entry) to expert (requiring hands-on coding). Here are eight of the best:

Good source list of digital tools

Google Correlate lets you see how your data relates to search queries Posted: 25 May 2011 11:27 AM PDT Influenza search - Google Correlate A while back, Google showed how Influenza outbreaks correlated to searches for flu-related terms with Google Flu Trends. It helped researchers and policy-makers estimate flu activity much sooner than with previous methods. Google Correlate is the evolution of Flu Trends in that now you can correlate search trends with not just flu cases, but with your own data or other search queries. The above, which you already know about, matches flu cases with searches for "treatment for flu." Similarly, the search phrase that correlates highest with "Toyota for sale" is "used Hyundai," as shown below. You can also see how your data is related geographically. For example, annual rainfall (left) strongly correlates with searches for "disney vacation package." Although, it looks like distance is a strong factor in the latter, which should be a reminder that correlation is different from causation. Google is careful to point this out in their FAQ and explanation of the tool. Nevertheless, it's fun to poke around and sometimes see the non-sensical correlations. For example, the strongest correlation with "flowingdata" is "how to scan a document," because the growth rates of both seem similar. There's also a search by drawing function. You draw a time series, and Correlate finds terms that best match that trend. In the below chart, I drew a line (blue) that had steady growth, but plateaued towards present day. What weird correlations can you find? [Google Correlate]

"Data docs is a video platform that allows filmmakers and journalist to combine elements from the web, such as interactive graphics, text and scraped information, with linear media, such as video and audio. Having worked in video both in long-form documentary and web video, we understand the power of visual media. Videos are powerful vehicles that we can use to tell personable or explanatory immersive stories. But one of the drawbacks of video as a medium is that they are finished products, which, after they have been published, become outdated fairly quickly. Advances in technology and data bases has allowed for data to be more flexible than video. Data visualizations and interactive infographics, for instance, can be up-to-date at any moment in time if they are hooked up to the right data bases. Think of charts of stock markets that updated every millisecond because APIs or other technological mechanisms feed them live data. We wanted to combine those two worlds - the world of immersive video storyelling and that of live and constantly updated data. This is why we created Data Docs. Through the Data Docs code library filmmakers and developers can 'hook up' their video to live data and other up-to-date information from the web. The library also allows you to integrate your own interactives with specific fonts and styles into your video. It enables you to project HTML, CSS and JavaScript-based graphics on your video. This helps you make videos that will never be out of date or, in other words, to make videos that are evergreen."

LittleSis is a free database detailing the connections between powerful people and organizations. We bring transparency to influential social networks by tracking the key relationships of politicians, business leaders, lobbyists, financiers, and their affiliated institutions. We help answer questions such as: Who do the wealthiest Americans donate their money to? Where did White House officials work before they were appointed? Which lobbyists are married to politicians, and who do they lobby for? All of this information is public, but scattered. We bring it together in one place. Our data derives from government filings, news articles, and other reputable sources. Some data sets are updated automatically; the rest is filled in by our user community. More Features »