These days the trends of data info-graphics is increased to much and the client demanding these info-graphics are increasing day by day. Designers are working well on visualizing the big data into a friendly graphic interface. If you present the data as it was collected then it will take more time to calculate it, so present it into a visual form which is definitely easy to under stand.
In this article we have compiled a useful list of 25 Best Data Visualization Tools Online for web developer and designers. These tools are easy to use and require no coding skills. You just have to understand their use. You can make graphs, pi-charts and other visual form of data using these tools. Just check the list given below and share your views in comments.
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.
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.
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.
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.
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.
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 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.
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.
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.