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28 Rich Data Visualization Tools
We're currently working with a dozen different clients, all web application (re)designs. All of these clients have data rich applications and need equally rich data visualizations to help their end customers analyze data quickly and effectively. What makes my job really interesting is that these clients are in different industries and are using different technologies.
Seven dirty secrets of data visualisation
Data visualisation - and in particular, web-based data visualisation - is having its moment. JavaScript libraries like D3.js, Raphaël, and Paper.js, building on modern browser support for Canvas and SVG, have made it easier than ever to produce complex visualisations that, until recently, were the province of computer scientists and a handful of specialist designers. Visualisation is the new 'must-have' element in project proposals and personal portfolios, and startups like Platfora, Datameer, and our own employers ClearStory Data and Chartio are raising millions for analytics platforms with browser-based visualisation interfaces. To some extent, the buzz is justified.
The top 20 data visualisation tools
One of the most common questions I get asked is how to get started with data visualisations. Beyond following blogs, you need to practise – and to practise, you need to understand the tools available. In this article, I want to introduce you to 20 different tools for creating visualisations: from simple charts to complex graphs, maps and infographics. Almost everything here is available for free, and some you have probably installed already. Advertisement <a href="http://ad.doubleclick.net/jump/fut.gb.net/features;kw=Design;kw=Inspiration;kw=JavaScript;kw=jQuery;kw=Tools;kw=Trends;tile=1;sz=300x250;ord=2013033042?"
Publishing maps to the web. Simple right? Just reproject all your data to web mercator and be done with it. Have we all learned to live with the crazy distortion? Do we need mercator to help us get our galleons from the Spanish Main back to the king?
Why d3 Will Change How We Publish Maps
Today I am releasing a tool that allows users to create and export an Information Wheel. Click here to access the tool. Users can:
Create: Information Wheel | thinkDataVis
Perceptual Edge’s 2012 Dashboard Design Competition
A few weeks ago I mentioned in this blog that I would soon announce the 2012 Perceptual Edge Dashboard Design Competition. Today, the competition officially begins.
A tutorial on visualizing numeric data by groups
Online and Open-Source Resources for Data Sourcing, Visualization, and Analysis - Professor Bear Braumoeller
Guardian Datastore editor Simon Rogers: Rogers said: 'We're not just data analysers, we've become data providers'
Five of the Guardian Datablog's best visualisations | Online Journalism Features
Why has Data Visualization Become so Popular?
Not all that long ago, when someone mentioned data visualization images, graphics printed in the USA Today , New York Times or the Economist would instantly come to mind – not any more. Over the last two to three years there has been an explosion in the popularity of data visualization.
As Dashboard Spy readers know, dashboard chart selection is fraught with peril and the subject of many books and blogs. I’ve written at length about the relative merits of different chart types and stress how the decision of which chart to use should not be made frivolously nor at random.
How to Pick a Chart for Your Dashboard | Enterprise Dashboard Digest
The more visually inclined we become in our quest to consume information, the blurrier the line between data vis and infographic gets.
Infographic vs. Data Visualization (Who Cares?)
In my recent article posted on May 16, I compared functionalities for R, Octave and Python at a very high level. The article received many insightful comments.
R, Octave, and Python: A Follow-Up
Your online visualization options are limited when you don't know how to program.
Miso: An open source toolkit for data visualisation
R training: Visualization, Big Data, Data Mining, and Marketing Analytics
Revolution Analytics is hosting several live and online courses over the next couple of months that will be of interest to R users looking to hone their skills: Visualization in R with ggplot2 .Gaphi