During the past few years the client demand regarding Data Info-graphics has increased in volume and demand as well as in : clarity. The range of technologies available by which to collect and examine data is constantly on the rise- both in web and desktop applications, which provide several great interfaces.
From a technological aspect , such tools ( or technologies ) have created efficiency based models which have gone onto disrupting existing paradigms of the past. These vary and range from data synthesis to data visualization encompassing every type of data.
Within this scope, such new tools are continually emerging whose main purpose is to- simplify the process within being able to harness data in lending impact and insight generation. For the greater part, most of these tools don’t require the end user to possess any particular coding knowledge nor significant training- due to the fact that these tools are point-and-click and thus, end up doing most of the hard work for you.
There are many popular online resources for Data Visualization which provide the end user with the ability to view all types of data and to better understand this data provided within a visually defined manner – and this is the definitive purpose of what visualization tools stand for.
Technologies such as the ones profiled below are helping to reshape the insights function through making data exploration more accessible to users who lack the knowledge and are not trained as data scientists.
Enjoy the list !
iCharts is a platform that connects the publishers of market research, economic and industry data with professional consumers. iCharts hosts tens of thousands of charts in business, economy, sports, and other categories. iChart makes it simple for people to discover and follow the world’s latest data insights. iCharts provides cloud-based and patented charting tool that enable companies and individuals to brand, market, and share their data as chart content to millions of viewers across the web. Icharts provides free accounts to the users which let you create basic interactive charts, while you can buy the premium version as well with tons of features. Charts can have interactive elements, and can pull data from Google Docs, Excel spreadsheets and other sources.
2. Fusion Charts Suit XT
3. Modest Maps
Modest Maps is a small, extensible, and free library for designers and developers who want to use interactive maps in their own projects. It provides a core set of features in a tight, clean package with plenty of hooks for additional functionality.
4. Pizza Pie Charts
You can deliver pie charts to any device with Pizza. Your pie will be steaming hot with SVG so that it looks good on retina devices and HiDPI devices. And the pie will fit the width of your box — um, container — or can be given a max-width or max-height.
Raw is a free and open source web application for visualizing data flexibly and as easy as possible. It actually defines itself as “the missing link between spreadsheet applications and vector graphics editors”. The application works by loading a dataset by copy-posting or drag ‘n’ dropping and allows us to customize the view/hierarchy. Raw is based on the popular D3.js and supports lots of different chart types like bubble, treemap, circle packing and more. Installing Raw is pretty straightforward as everything works client-side
8. Ember Charts
Ember Charts is a charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents their thoughts on best practices in chart interactivity and presentation.
Springy is a force directed graph layout algorithm. It means that springy uses some real world physics to try and figure out how to show a network graph in a way that looks good.
Springy.js is designed to be small and simple. It provides an abstraction for graph manipulation and for calculating the layout and not too much else. The details of drawing and interaction are mostly up to you. This means you can use canvas, SVG, WebGL, or even just plain old positioned HTML element.
11. Google Charts
Google Charts provides a perfect way to visualize data on your website. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types. . It’s an especially useful tool for specialist visualizations such as geocharts and gauges, and it also includes built-in animation and user interaction controls.
Cube is an open-source system for visualizing time series data, built on MongoDB, Node and D3. If you send Cube timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals.
15. Smoothie Charts
Smoothie Charts is a really small charting library designed for live streaming data. Joe Walnes wanted to show real time streaming data pushed over a WebSocket. Although many of the charting libraries allow you to dynamically update data, none have really been optimized for a constant stream of data. Smoothie Charts only works on Chrome and Safari. And it doesn’t support legends. Or pie-charts. In fact, it’s inferior in virtually every way to a library like Flot. But, it’s very good at displaying streaming data.
BirdEye is the Declarative Visual Analytics Library. It is a community project to advance the design and development of a comprehensive open source information visualization and visual analytics library for Adobe Flex. The action script-based library enables users to create multi-dimensional data visualization interfaces for the analysis and presentation of information.
Arbor.js is a graph visualization library built with web workers and jQuery. It provides an efficient, force-directed layout algorithm, abstractions for graph organization and screen refresh handling. The library doesn’t force a specific method for screen-drawing and you can use it with canvas, SVG, or even positioned HTML elements; the best one that fits your project. Arbor.js simply helps you focus on the graph data and its style rather than spending time on the physics math that makes the layouts possible
Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Gephi, a graph-based visualiser and data explorer, can not only crunch large data sets and produce beautiful visualizations, but also allows you to clean and sort the data.
Axiis is an open source data visualization framework designed for beginner and expert developers alike. Axiis gives developers the ability to expressively define their data visualizations through concise and intuitive markup.
Axiis provides both pre-built visualization components as well as abstract layout patterns and rendering classes that allow you to create your own unique visualizations. Axiis was designed to be a granular framework, allowing developers to mix and match components and build complex output by compositing together basic building blocks.
D3 is not a traditional visualization framework. Rather than provide a monolithic system with all the features anyone may ever need, D3 solves only the crux of the problem: efficient manipulation of documents based on data. This gives D3 extraordinary flexibility, exposing the full capabilities of underlying technologies such as CSS3, HTML5 and SVG. It avoids learning a new intermediate proprietary representation.
Dipity lets you create a free digital timeline. It allows creating, sharing, embedding and collaborating on an interactive and visually attractive timelines has the ability of integrating video, audio, images, text, links, social media, location and timestamps etc.
TimeFlow Analytical Timeline is a visualization tool for temporal data. his tool is currently in alpha version so there is a chance of finding glitches. It provides five different displays: timeline view, calendar view, bar chart view, and table view.
Paper.js is an open source vector graphics scripting framework that runs on top of the HTML5 Canvas. It offers a clean Scene Graph / Document Object Model and a lot of powerful functionality to create and work with vector graphics and bezier curves, all neatly wrapped up in a well designed, consistent and clean programming interface.
Paper.js is easy to learn for beginners and has lots to master for intermediate and advanced users. Paper.js is developed by Jürg Lehni & Jonathan Puckey, and distributed under the permissive MIT License.
30. Visulize Free
Visualize Free is a free visual analysis tool based on the advanced commercial dashboard and visualization software developed by InetSoft, an innovator in business intelligence software since 1996. Visualization is the perfect technique for sifting through multi-dimensional data to spot trends and aberrations or slice and dice data with simple point-and-click methods. If you are looking for a way to visually explore and present data that standard office charting software cannot handle, Visualize Free is for you.