Group items tagged

Visual.ly - a new tool to create data visualisations July 28th, 2011Posted by Sarah Marshall in Data, Design and graphics, Handy tools and technology, Multimedia Visual.ly is a new platform to allow you to explore and share data visualisations. According to the video below, it is two things: a platform to upload and promote your own visualisations and a space to connect "dataviz pros", advertisers and publishers. Visual.ly has teamed up with media partners, including GigaOM, Mashable and the Atlantic, who each have a profile showcasing their data visualisations. You will soon be able to create your own "beautiful visualisations in minutes" and will "instantly apply the graphics genius of the world's top information designers to your designs", the site promises. Plug and play, then grab and go with our push-button approach to visualisation creation. The sample images are impressive, but journalists will have to wait until they can upload their own data.

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:

Some good pointers here, especially for data retrieval and analysis:

Some good pointers here, especially for data retrieval and analysis:

When you go to a conference, there are typically several talks going on at the same time, and you can always tell there's a popular paper coming up when you see people leave a bunch of rooms at once and head straight into one. There's also the unfortunate case when someone speaks, and there's only a handful of people in the room, all in the back staring at their laptops. Open Data City visualized this activity during the German internet conference re: publica. Open Data City used MAC addresses and access point connections to keep track of where devices went. So a person might be in a room connected to the nearest access point, disconnects as he leaves, and then reconnects as he reenters another room, which provides the flow. It's fun to watch the conference play out even if you didn't attend. Each dot represents an attendee, and as the animation plays the dots migrate from room to room. Click and drag over the dots to select specific people. [Thanks, Michael]

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)

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

kdmc data visualization tutorials KDMC produces a wealth of digital media tutorials to support our training sessions and classes. While the focus of some tutorials is on technology and journalism, most are general enough to be of use to anyone.

A very good collection of dataviz tips and tools

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