Visualization for IoT
With billions of sensors collecting trillions of data points, the Internet of Things will amass data on a scale never before seen. Only when we analyze that data can we truly release the value of the internet of things.
The primary value in an IoT system is its ability to perform analytics on the acquired data and extract useful insights however building a pipeline for performing scalable analytics with the volume and velocity of data associated with IoT is no simple task.
GE estimates that convergence of machines, data and analytics will become a $200 billion global industry over the next three years, and despite the fact that this potential is already beginning to be realized, there are still many unanswered questions and challenges associated with this.
The 14 best data visualization tools
D3.js, short for ‘Data Driven Documents’, is the first name that comes to mind when we think of a Data Visualization Software. It uses HTML, CSS, and SVG to render some amazing charts and diagrams. If you can imagine any visualization, you can do it with D3. It is feature packed, interactivity rich and extremely beautiful. Most of all it’s free and open-source.
It doesn’t ship with pre-built charts out of the box, but has a nice gallery which showcases what’s possible with D3. There are two major concerns with D3.js: it has a steep learning curve and it is compatible only with modern browsers (IE 9+). So pick it up only when you have enough time in hand and are not concerned about displaying your charts on older browsers.