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How to become a data visualization ninja with 3 free tools for non-programmers

How to become a data visualization ninja with 3 free tools for non-programmers
We noticed many times between the lines of this blog how data visualization is in the hype and how this trend is growing and growing. That’s good news guys! It’s fun and it’s … success! But as more and more people join this wild bunch we have to take care of those who are not as skilled as we are yet. There are many people out there who love data visualization but they think they are out of this business because they are not able to code. As data visualization develops we can expect to have people developing tools that are more accessible and easier to use also for non-programmers. By the way, if you are one of those wannabe non-programmer-data-enthusiast I have a good news for you: the future is here! Data Visualization is 80% data 20% visualization I don’t think I will find anyone arguing against this sentence. And there is also a subtler issue here. So here it is. The Ninja’s Toolbox Outwit Hub (data scraping) Outwit Hub is a little and fantastic FireFox add-on. Isn’t it fantastic? Related:  Data VisualizationProfessional DevelopmentData visualization

Datavisualization.ch Selected Tools How to measure the effectiveness of professional development activities | Learner Weblog This post on measurement on the effectiveness of professional development attracts my attention. Stephen commented in his OLDaily: And the good point he make is that the effectiveness (if you want to call it that) of a learning event isn’t measurable at the time of the event – you have to wait for the cycles to complete. Can the effectiveness of professional development be measured? I have composed a post on Teacher Training and classroom teaching here. I think an objective measurement of the effectiveness of professional development needs to be based on the context of application of the skills learnt and the teaching or learning situations. Besides, the sole reliance of professional development is often not enough, especially in a complex learning environment. What needs to be considered in mind could be illustrated with the pictures below: How about this? Here is the Networked Teacher (Photo: Flickr source: Alec Courus) On Emergent Learning: Integration of learning by Terry Anderson

Data et Analytics : que nous réserve 2015 ? - Influencia La big data n’est désormais plus un concept. Les professionnels commencent à dompter la « bête » et 2015 devrait être une cuvée où on applique la théorie. Précisions avec Deloitte qui a identifié les nouveaux challenges que soulève l’utilisation de la Data et de l’analytics… Pratiquer. Un document découpé en 5 parties qui permet de segmenter les différents champs de compétences qu’une entreprise a ou doit mettre en place pour optimiser sa connaissance des données. 1. L’expérimentation Big Data s’annonce comme l’une des tendances fortes en 2015. 2. Les Analytics se démocratisent au sein des entreprises, notamment grâce au développement de nouveaux outils qui favorisent leur prise en main par des non-spécialistes, comme par exemple les outils de Data Visualisation. 3. 4. Dans plusieurs secteurs précurseurs (télécoms, services financiers), les entreprises prennent conscience de la valeur de leurs données pour des partenaires externes. 5.

The Best Tools for Visualization Visualization is a technique to graphically represent sets of data. When data is large or abstract, visualization can help make the data easier to read or understand. There are visualization tools for search, music, networks, online communities, and almost anything else you can think of. Whether you want a desktop application or a web-based tool, there are many specific tools are available on the web that let you visualize all kinds of data. Visualize Social Networks Last.Forward: Thanks to Last.fm's new widget gallery, you can now explore a wide selection of extras to extend your Last.fm experience. Last Forward Friends Sociomap: Friends Sociomap is another Last.fm tools that generates a map of the music compatibility between you and your Last.fm friends. Fidg't: Fidg't is a desktop application that gives you a way to view your networks tagging habits. Fidg't The Digg Tools: One more: Digg Radar. YouTube: You can discover related videos using YouTube's visualizations. Visualize Music Amazon

Khan Academy 37 Data-ish Blogs You might not know it, but there are actually a ton of data and visualization blogs out there. I'm a bit of a feed addict subscribing to just about anything with a chart or a mention of statistics on it (and naturally have to do some feed-cleaning every now and then). In a follow up to my short list last year, here are the data-ish blogs, some old and some new, that continue to post interesting stuff. Data and Statistics By the Numbers - Column from The New York Times visual Op-ed columnist, Charles Blow, who also used to be NYT's graphics director.Data Mining - Matthew Hurst, scientist at Microsoft's MSN, also the co-creator of BlogPulse.Statistical Modeling - We might disagree on certain things, but Andrew's blog is one of the few active pure statistics blogs.The Numbers Guy - Data-minded reporting from Carl Bialik of the Wall Street Journal.Basketball Geek - Like statistical analysis and basketball? Statistical/Analytical Visualization Maps Design & Infographics Others Worth Noting

The Role of Algorithms in Data Visualization It’s somewhat surprising to me to notice how little we discuss about the more technical side of data visualization. I use to say that visualization is something that “happens in your head” to emphasize the role of perception and cognition and to explain why it is so hard to evaluate visualization. Yet, visualization happens a lot in the computer also, and what happens there can be extremely fascinating too. So, today I want to talk about algorithms in visualization. What’s the use of algorithms in visualization? When do we need them? I have grouped algorithms in four broad classes. Spatial Layout. (Interactive) Data Abstraction. Smart Encoding. Quality Measures. These are the four classes of algorithms I have currently identified in visualization. Take care.

Welcome to Rachel & Associates! Information Is Beautiful | Ideas, issues, concepts, subjects - v Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible 6 Types of Blended Learning [Infographic] The Current State Of Technology In K-12 6.76K Views 0 Likes What is the next device most students will soon purchase? How many schools have a digital strategy? Find out in the current state of technology in K-12. How Online Education Has Changed In 10 Years 10.97K Views 0 Likes We all know that education, specifically online education, has come a long way in the last few years. The Importance Of The Evolution Of Education 7.50K Views 0 Likes Over the past century, the modes of both imparting and receiving education have undergone a paradigm shift.

Visualization-based data discovery tools Visualization-based data discovery tools may account for less than 5 % of the Business Intelligence (BI) Market, but they are fighting above their weight in terms of profile. In 2011, Gartner placed Visualisation at the peak of the BI Hype Cycle. Despite this indicating the category may lose some of its lustre , Gartner are still predicting a compound annual growth rate of 30% in each of next 5 years. If true, this means the category will increase in value from $427 to $1,606 million over the period, a growth rate 3 times that of the overall BI market. So what are Data Visualisation tools and how are they defined? According to Gartner, there are 3 common elements Who are the main vendors in the Data Visualisation category? Gartner ranked the leading players, based on estimated revenue, to be Figure 2. With the expected growth of this category, large traditional BI vendors like Microsoft are scrambling for market share. So why the growth and hype in the Category? Rapid prototyping.

Time Zones Strategy Bank The Teach 21 Strategy Bank is designed to be a dynamic resource for educators. It contains a multitude of research-based strategies teachers can use to make their classroom instruction more effective, and to address the needs of their diverse students. These strategies have been collected from a variety of sources, including the standards-based units available on Teach 21. Strategies for Activating Prior Knowledge will help scaffold students so that they can create mental models. Research shows that vocabulary knowledge is the single most important factor contributing to reading comprehension. Getting to Know Students strategies will assist teachers in determining the readiness, interests, and learning profiles of their students. The Teach 21 Strategy Bank is intended to be a living resource, growing and changing to support teachers in their delivery of West Virginia's 21st century content.

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