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JpGraph - Most powerful PHP-driven charts. SOFA – Statistiques, analyses et reporting open source| Webmaster – Ressources et outils gratuits pour votre site internet – Free Tools| Free Tools, Le meilleur des outils gratuits pour webmaster. 3 Tips for Engaging Online Communities with Data Visualization. Data visualization is a medium for understanding information that had previously been the domain of scientists and researchers.

Today, due to the amount of data available, there is an increasing need to find new ways of understanding what information means that is available through social networks and throughout the Web. Engaging Online Communities is a report we published this week that explores ways to engage with customers. It looks at the tools available to engage, collect and analyze information. A logical next step beyond analysis is to engage communities in ways that helps them understand information. Data visualization is increasingly seen as an effective way to do that. According to a short report by FFunction in Montreal, data visualization has become a way to clearly communicate information that is often quite complex. People are demanding more ways to understand products and services. Audrée Lapierre of FFunction writes: Leslie Bradshaw is the co-founder of JESS3.

Bradshaw: 1. Refine - Project Hosting on Google Code. Classical Symphonies. How to Make Bubble Charts. A bubble chart can also just be straight up proportionally sized bubbles, but here we're going to cover how to create the variety that is like a scatterplot with a third, bubbly dimension. The advantage of this chart type is that it lets you compare three variables at once. One is on the x-axis, one is on the y-axis, and the third is represented by area size of bubbles. Have a look at the final chart to see what we're making. Step 0. Download R We're going to use R to do this, so download that before moving on.

Step 1. Assuming you already have R open, the first thing we'll do is load the data. Okay, moving on. You're telling R to download the data and read it as a comma-delimited file with a header. Step 2. Now we can get right to drawing circles with the symbols() command. Run the line of code above, and you'll get this: Circles incorrectly sized by radius instead of area. All done, right? Step 3. To size radiuses correctly, we look to the equation for area of a circle: Yay. Step 4. What Visualization Tool/Software Should You Use? – Getting Started.

Are you looking to get into data visualization, but don't quite know where to begin? With all of the available tools to help you visualize data, it can be confusing where to start. The good news is, well, that there are a lot of (free) available tools out there to help you get started. It's just a matter of deciding which one suits you best. This is a guide to help you figure that out. But before we get into what you should use, a couple of questions.

What data are you looking at? Hopefully you already have a dataset that you're interested in. There are lots of places on the Web to find data. The above is a very small subset of what's available. Got your data? What's the purpose of your visualization? The next step is to figure out you're trying to do with your visualization. Again, what you decide here will affect what tool you should use. What Visualization Software to Use Now that you have the answers to those two questions in mind, we can make a decision on what will work best for you. Processing.org. Javascript InfoVis Toolkit – New Version Released. As we've seen, javascript is growing into a viable solution for visualization on the Web. John Resig ported Processing to javascript about a year ago and we saw some projects in javascript to show off speed in Google Chrome. Most recently, Nicolas Garcia Belmonte released version 1.1 of his InfoVis Toolkit, which provides a basic set of tools for creating interactive visualizations on the Web.

Some of the features: Multiple Data Representations - Treemaps, Radial Layouts, HyperTrees/Graphs, SpaceTree-like Layouts, and more...Major Browsers Support - IE6+, Firefox2+, Safari3+, Opera9.5+Open Source - Licensed under the BSD LicenseLibrary Agnostic - You may use the JIT with your favorite DOM manipulation frameworkExtensible - All visualization classes are mutable, so you can easily add/override any method you want.Composable - Visualizations can be combined in order to create new visualization methods. Here are a couple of things you can do with the toolkit: Visit the site for more demos. Flare | Data Visualization for the Web. 40 Essential Tools and Resources to Visualize Data. One of the most frequent questions I get is, "What software do you use to visualize data? " A lot of people are excited to play with their data, but don't know how to go about doing it or even start.

Here are the tools I use or have used and resources that I own or found helpful for data visualization – starting with organizing the data, to graphs and charts, and lastly, animation and interaction. Organizing the Data by sleepy sparrow Data are hardly ever in the format that you need them to be in. PHP was the first scripting language I learned that was well-suited for the Web, so I'm pretty comfortable with it.

Python Most computer science types - at least the ones I've worked with - scoff at PHP and opt for Python mostly because Python code is often better structured (as a requirement) and has cooler server-side functions. MySQL When I have a lot of data - like on the magnitude of the tends to hundreds of thousands - I use PHP or Python to stick it in a MySQL database. Ah, good old R. Chartle.net - interactive charts online!