Data Visualizations: 11 Ways To Bring Analytics To Life. Data visualizations, used well, can help people make sense of large, complex data. Learn how data visualizations are changing and best practices for making the most of them. 1 of 12 User demand for interactive data visualization is driving an evolution in the way that complex information is presented. Rather than accepting static pie charts and bar charts at face value, professionals and consumers alike want interactive tools that allow them to visualize, understand, and analyze data in an iterative fashion, whether at their desks, on the web, or on their mobile devices.
To facilitate the democratization of data and accommodate the increasing volume, velocity, and variety of data, visualizations have improved aesthetically and functionally on a number of levels. "People want graphics that can do cognitive heavy lifting for them and help them explore their ideas. [Can analytics fight fires? "The ability to slice and dice has been around for a while. More Insights. Analytics, Data Mining, and Data Science. Machine Learning And Human Bias: An Uneasy ... Data storytelling skills take on key role in an... Open data summer showcase. ODI commissions projects demonstrating the impact of open data Do you have a great idea for an open data project but need help to get it off the ground? Are you working on a project that you would like to promote more widely? As part of its open data summer showcase, the ODI is looking for great examples of open data impact, to support their development and promote them to a global audience.
Successful projects will showcase tangible economic, social or environmental impacts. Does your open data project have tangible impacts? What we’re offering We are commissioning up to five projects, each with funding of up to £7,000 (GBP) to help deliver and/or document their impacts. Through the course of your project we’ll work with you to develop an open data ‘story’, which we’ll promote to mainstream media channels and via our global network. In addition to funding, we will provide support to help maximise the impact of your project: How to apply Proposals will be assessed on: Key dates and criteria.
Rise of the Data Visualization Competency Cente... How people engage with data visualisations and ... A little known hack from Japan to get your note... Designing Data-Driven Interfaces — Truth Labs. “Dashboard”, “Big Data”, “Data visualization”, “Analytics” — there’s been an explosion of people and companies looking to do interesting things with their data. I've been lucky to work on dozens of data-heavy interfaces throughout my career and I wanted to share some thoughts on how to arrive at a distinct and meaningful product. Many people have already tackled this topic, so I'm going try and stick to the parts of our process that have the most impact. 1.
Different users, different data Whenever you're designing complex systems there will inevitably be multiple users or personas to design for. Defining good personas and generating insights is an art within itself, and it’s not something I’m going to detail here. The important thing to remember about personas is to identify them upfront and organize your information architecture tasks and wireframes around them. Below is a deliverable we used for a healthcare reporting application we worked on last year. 2. 3.
Start with the Data 4. 5. An executive’s guide to machine learning ... Predictive Analytics in Practice. Steve Dale sur Twitter : "Data Storytelling DataStoryTelling.jpg (1331×914) #data... DataStoryTelling.jpg?utm_content=buffer5829d&utm_medium=social&utm_source=twitter. Machine Learning Goes Mainstream II: Guesswork ... Disinformation Visualization: How to lie with d... Big Data. 50 great data visualizations. Data Science Central 50 great data visualizations by Mirko Krivanek on Thursday Interesting post. I think many of these visualizations are just pure art, but delivering no insight. The Iliad (whatever that means) Billionaires Population density Winning Lotto Numbers Click here to check the 50 visualizations.
DSC Resources Additional Reading. A Sucker Is Optimized Every Minute | Data &... Power to the new people analytics. The latest data and analytics buzz comes from the field of advanced HR analytics, where the application of new techniques and new thinking to talent management is becoming more mainstream. The implications are dramatic because talent management in many businesses has traditionally revolved around personal relationships or decision making based on experience—not to mention risk avoidance and legal compliance—rather than deep analysis.
Advanced analytics provides a unique opportunity for human-capital and human-resources professionals to position themselves as fact-based strategic partners of the executive board, using state-of-the-art techniques to recruit and retain the great managers and great innovators who so often drive superior value in companies. Some leading organizations we know are already using advanced HR analytics successfully in certain talent-management areas. The insights have been surprising and at times counterintuitive. About the authors. Gapminder World Poster 2013 | Data & Inform... 12 data maps that sum up London | Data & In... The Best Infographics of the Year: Nate Silver ... The Dawn of the Zettabyte Era [INFOGRAPHIC] | D... The Internet Of Someone Else’s Things. The Internet Of Things is coming. Rejoice! …Mostly.
It will open our collective eyes to petabytes of real-time data, which we will turn into new insights and efficiencies. It will doubtless save lives. They say “possession is nine-tenths of the law,” but even if you physically and legally own a Smart Thing, you won’t actually control it. This is not a hypothetical situation. As The Atlantic puts it: the smarter one’s things, the greater the possibility that they’ll be conscripted into schemes you never would have imagined and might not like.
The fundamental issue here is that the Internet of Things will not have a standard set of open APIs for consumers. Techno-utopians like to argue that open systems always win, but that simply isn’t true, as the mobile era has shown. So are we doomed to a future of fifth-column Smart Things that we don’t really own, talking behind our backs to an array of siloed Stacks? …Maybe. Image credit: Edal Anton Lefterov via Wikimedia. Made with Code_Google.
22 maps and charts that will surprise you | Dat... Tinder And Evolutionary Psychology. Editor’s note: Liraz Margalit serves as Costumer Experience Psychologist for ClickTale, writing analyses that incorporate theory and academic research into a conceptual framework that creates insights into online consumer behavior. Mobile dating application Tinder has been criticized heavily due to its appearance-based matchmaking process, which many consider so shallow and superficial that it could only be used to facilitate casual sex.
However, the app’s popularity continues to grow at an extraordinary rate: it is currently available in 24 languages and boasts more than 10 million active daily users. It was also awarded TechCrunch’s Crunchie Award for “Best New Startup of 2013.” The app’s runaway success cannot be attributed solely to singles looking for quick hook-ups. The counter-intuitive truth is that Tinder actually provides users with all the information they need to make an informed first impression about a potential long-term mate. How Does It Work? The Chat He: “how about now?” Data Cleaning Tools. Best TED videos on Data Visualization « Big Data Made Simple. Welcome - data.parliament.uk.
5 Reasons to learn D3 - Programming - O'Reilly. A recipe for data: lessons from EUDAT | Data &a. Curate and Publish Searchable Databases with fr. Home | UK Data Explorer. If you have any questions or are interested in commissioning a data visualisation project, please contact James Trimble. Web Scraping Tools, Services and Plugins: A Com... The River of Myths. Ckan - The open source data portal software. Wikidata. Visualising Data. Online Resources.