30 Simple Tools For Data Visualization There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training.
Three Big Qs in Big Data The Big Data battle is still on, most of organizations haven’t seen clear symbol to declare victory yet, though everyone is talking about “V” words these days: Volume, Velocity, Variety, and look for big Value; if switch the angle a bit, how to see Big Data in the lens of “Q”? 1. Quantity The growth of Data is exponential: The volume of business data worldwide is expected to double every 1.2 years. Data is growing at 40% compound annual rate, reaching nearly 45 ZB by 2020. Every day, 2.5quintillion bytes of data are created, with 90% of the world’s data created in the past two years, also, data production will be 44 times greater in 2020 than in 2009.
Senior Account Manager, design and branding agency, London job with Gabriele Skelton This 70 strong strategic design agency needs a Senior Account Manager to join their fun, creative and award-winning team. With an enviable array of clients- from small luxury, through to some of Britain's best-loved brands and global FMCG clients- they cover all areas of brand design, including new brand creation, brand extension, NPD, 2D and 3D packaging design, brand activation and point of sale design. The work is outstanding so they are looking for an equally good Senior Account Manager with solid experience in FMCG and consumer branding and packaging.
Make Patterns - Colourlovers.com Log In Sign Up COLOURlovers Search Create Fundamentals Last updated 2012 December 30 Working with D3 requires an appreciation of the following concepts. Hypertext Markup Language is used to structure content for web browsers. The simplest HTML page looks like this: Introducing the Data Visualization Checklist This post has been a long time coming. Ann Emery and I knew some time ago that evaluators and social scientists had a thirst for better graphs, a clear understanding of why better graphs were necessary, but they lacked efficient guidance on how, exactly, to make a graph better. Introducing the Data Visualization Checklist. Download this checklist and refer to it when you are constructing your next data visualization so that what you produce rocks worlds.
Give Mockup presentations on your iPad/iPhone with Link Viewer – Mockups Product Blog – Balsamiq Hello Balsamiq friends! Today we asked Eileen and Max of Link Viewer to write up a blog post introducing their app for testing iOS Mockups. Enjoy! Meme Generator Bill O'Reilly. You either love him or you hate him. Most on the internet either hate him or love to hate him. With his brash, domineering, bullying, know-it-all personality, it is easy to see how this has been translated into a meme. It is one of the more obvious ones. Introduction — QGIS Tutorials and Tips QGIS is a popular open-source GIS with advanced capabilities. Here is a series of tutorials and tips that show you how to use it to tackle common GIS problems. You may use these tutorials as a self-paced course to learn the software thoroughly.
Understanding Data Visualisations - Seeing Data Home » Understanding Data Visualisations This resource aims to help people make sense of data visualisations. It’s for the general public – people who are interested in visualisations, but are not experts in this subject. Each section tells you something different, and it attempts to build your confidence and skills in making sense of data visualisations. You can work through the sections in any order you like.
Trouver des thèmes de couleur : Adobe Kuler 블루1 0 0 0 MaybeMyGreen 0 0 0 Copy of 29623990-Virupaksha-temple-view-from-Hemakuta-hill-at-sunset-in-Hampi-Karnataka-India-Stock-Photo 0 0 0 Color Theme 1 0 0 0 Mom In Scarf 0 0 0 Louis Vuitton 0 0 0 38 tools As we enter the Big Data era, it becomes more important to properly expand our capacity to process information for analysis and communication purposes. In a business context, this is evident as good visualisation techniques can support statistical treatment of data, or even become an analysis technique. But also, can be used as a communication tool to report insights that inform decisions.