10 Data Visualization Tools for Big Data
Data visualizations are everywhere today. From creating a visual representation of data points to impress potential investors, report on progress, or even visualize concepts for customer segments, data visualizations are a valuable tool in a variety of settings. When it comes to big data, weak tools with basic features don’t cut it. The following 39 tools (listed in no particular order) are some of the best, most comprehensive, sophisticated-yet-flexible visualization tools available — and all are capable of handling big data.
A family of open-source tools developed by the Experimental Media Research Group, NodeBox offers capabilities ranging from a cross-platform graphics library to a Mac app that creates 2D visuals coded with Python.
Supports lines, plots, filled areas in any combination
Use combinations of display elements in the same data series
Plot categories and textual data
Add HTML with standard DOM manipulation
Produce interactive visualizations with a toggling series
Direct canvas access for drawing custom shapes
Processing was originally created as a means to teach computer fundamentals in a visual context, but is now used by students, designers, researchers, artists and hobbyists to create learning modules, prototypes and for actual production. Users can create simple or complex images, animations, and interactions.
The sister site of Processing, Processing.js is the tool you need to transition your complex data visualizations, graphics, charts and other visuals to a viable web format without any extensions or plugins. That means you can write code using the standard Processing language and insert it into your website, while Processing.js makes it functional without additional coding requirements.
Allows Processing code to be run by any HTML5 browser
Integrate animated and interactive visualizations into any web page
No major additional coding necessary
Bind arbitrary data to DOM
Create interactive SVG bar charts
Generate HTML tables from data sets
Variety of components and plugins to enhance capabilities
Built-in reusable components for ease of coding
8. FF Chartwell
FF Chartwell transitions simple strings of numbers into editable data visualizations for further customization using OpenType features. It’s an extension that can be used with a standard design suite, such as Adobe Creative Suite, to simplify the process of designing charts and graphs.
9. Google Maps
Google Maps offers several APIs for developers, such as Google Earth, Google Maps Images, and Google Places. These tools enable developers to build interactive visual mapping programs for any application or website.
10. SAS Visual Analytics
SAS 10. SAS Visual Analytics
Visual Analytics is a tool for exploring data sets of all sizes visually for more comprehensive analytics. With an intuitive platform and automatic forecasting tools, SAS Visual Analytics allows even non-technical users to explore the deeper relationships behind data and uncover hidden opportunities.
Deploy on-premise or in a public or private cloud
Drag-and-drop autocharting chooses the best layout for data
Pop-up boxes identify potentially important correlations
Scenario analysis enables predictions based on variable changes
Save views as reports, images or SAS mobile apps
Create web-based, interactive reports
Easy integration of action elements for users to manipulate data