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Outstanding example of infoviz Gay rights in the US, state by state Gay rights laws in America have evolved to allow - but in some cases ban - rights for gay, lesbian and transgender people on a range of issues, including marriage, hospital visitation, adoption, housing, employment and school bullying. The handling of gay rights issues vary by state and follow trends by region

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.

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.

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.

How Overview turns Documents into Pictures by Jonathan Stray on 06/04/2012 | 0 Overview produces intricate visualizations of large document sets - beautiful, but what do they mean? These visualizations are saying something about the documents, which you can interpret if you know a little about how they're plotted. There are two visualizations in the current prototype version of Overview, and both are based on document clustering.

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.

Welcome to the Improving data visualisation for the public sector project Good data visualisation can help users explore and understand the patterns and trends in data, and also communicate that understanding to others to help them make robust decisions based on the data being presented. This site supports public sector researchers improve the way that they visualise data, by providing good practice examples and case studies, practical and step-by-step guides on how to visualise data, and links to more detailed resources. http://www.improving-visualisation.org

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.

Goals and Topics Our goal with this workshop is to bring together data storytellers from diverse disciplines and continue the conversation of how these different fields utilize each other's techniques and articulate principles for telling data narratives. Our target participants are researchers, journalists, bloggers, and others who seek to understand how visualizations support narrative, stories, and other communicative goals. Participants may be designers of such visualizations or designers of tools that support the creation of narrative visualizations. Visualizations that serve as a "community mirror" and thus create opportunities for discussion, reflection and sharing within a social network are also suitable topics. While we are inspired by many visualizations that display personal histories and storylines, our focus is on visualization situated in storytelling contexts, not necessarily visualizations of stories. Specific topics of interest may include, but are not limited to: Media and genres Embedding visualizations in social media to tell stories Multimodal storytelling with visualization (e.g. narrated or acted visualization, such as Rosling's Gapminder presentations) Non-traditional narrative - games and other procedural narratives incorporating data Visualization in (data)journalism - how news stories and visualization can complement each other Visualizations that support specific types of stories: Personal stories ("Here's a history of my cancer treatment") Community and collaboration stories ("How has our Facebook group changed over the past year?") Public data sets and narrative ("What is your Senator doing with your taxes?") Fictional, semi-fictional, and non-fiction stories

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 »