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The Best Tools for Visualization

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. Here are some of the best: Visualize Social Networks Last.Forward: Thanks to's new widget gallery, you can now explore a wide selection of extras to extend your experience. Last Forward Friends Sociomap: Friends Sociomap is another tools that generates a map of the music compatibility between you and your 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: Visualize Music Musicovery music visual tools: Amazon Data

Software Tools Open Source Licenses Non-Commercial Binary Licenses Non-Commercial Source Licenses You are welcome to download and use the software tools appearing on this page that have been developed by AT&T Labs researchers. SEO Keyword Graph Visualization Use this free Java application to explore the connections between related websites. Try it now! Enter keywords or a URL, and click 'Graph it!' See Getting Started below for more details. Edraw Mind Map Professional Clarify Thinking Edraw can easily conceptualize your visualization on computer and organize your work. It helps you pull all ideas and assets together to organize them in logical structure, then to steer clear of irrelevant information and recognize the critical.

40+ Visualization Tools for dashboards and social business There is so much data that it is an incredible task to actually comprehend it. Like looking at a TV screen full of static… trying to rationalize if one pixel means something. In order to make the data actionable we need to really focus on tools to clarify what we are looking at. We need to think about Source Code & Tutorials Recently, I have released source code for a number of projects. In most cases these projects are released as they were published – while the code is reasonably well-commented, the projects weren’t build specifically to be released and thus may not be shining examples of standards and software architecture. That said, I hope that these releases will serve as inspiration for you to make some things of your own. If you do end up building something interesting, please let me know. Source Code

Welkin What is this? Welkin is a graph-based RDF visualizer. What's New in Version 1.1 Works on Windows, Linux and MacOSX. Added support for Turtle/N3 RDF syntax. Tinderbox Save 25% on Tinderbox and Storyspace during the 2019 Festival of Artisanal Software. Tinderbox is just $199 — save $50! Storyspace is just $114 — save $35! A new era for Tinderbox: the tool for notes. Tinderbox 8 is now available with more than 150 visible improvements and lots of new technology. Over 100 Incredible Infographic Tools and Resources (Categorized) This post is #6 in DailyTekk’s famous Top 100 series which explores the best startups, gadgets, apps, websites and services in a given category. Total items listed: 112. Time to compile: 8+ hours.

38 Tools For Beautiful Data Visualisations 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. Today there are plenty of tools out there that can be used to improve your data visualisation efforts at every level. Below we list a non-exhaustive list of resources. Javascript Libraries

graphl Overview Graphl1 is a tool for collaborative editing and visualisation of graphs, representing relationships between resources or concepts of the real world. Graphl may be thought of as a visual wiki, a place where everybody can contribute to a shared repository of knowledge. Graphl builds upon RDF (the Resource Description Format), a standard for expressing the relationships of resources. While RDF specifies how to express these relationships in terms of concepts and grammar rules, Graphl focusses on visualizing these (possibly complex) networks of relationships, and allows the visual editing of such networks. While RDF was created mainly as a standard to support the machine-processability of relationship data, Graphl allows human users to interact with this kind of data in an intuitive way, by providing sophisticated rendering methods that allow users to explore even complex graphs and networks without visual overload.

The 15 best tools for data visualisation It's often said that data is the new world currency, and the web is the exchange bureau through which it's traded. As consumers, we're positively swimming in data; it's everywhere from labels on food packaging design to World Health Organisation reports. As a result, for the designer it's becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. Get Adobe Creative Cloud One of the best ways to get your message across is to use a visualization to quickly draw attention to the key messages, and by presenting data visually it's also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. And nowadays, there's plenty of free graphic design software to help you do just that.

22 free tools for data visualization and analysis You may not think you've got much in common with an investigative journalist or an academic medical researcher. But if you're trying to extract useful information from an ever-increasing inflow of data, you'll likely find visualization useful -- whether it's to show patterns or trends with graphics instead of mountains of numbers, or to try to explain complex issues to a nontechnical audience. There are many tools around to help turn data into graphics, but they can carry hefty price tags. The cost can make sense for professionals whose primary job is to find meaning in mountains of information, but you might not be able to justify such an expense if you or your users only need a graphics application from time to time, or if your budget for new tools is somewhat limited. If one of the higher-priced options is out of your reach, there are a surprising number of highly robust tools for data visualization and analysis that are available at no charge. Data cleaning