DataVisualization

Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.

When dealing with data analysis, most companies rely on MS Excel or Google Sheets, but dealing with data presented this way isn’t very eye-catching or intuitive. It’s once you add visualizations to this data that things become a little easier to manage. That’s the topic of today’s tutorial by our guest author from Adobe, Rohit Boggarapu. Join us as he guides us though the process of making interactive drill-down charts using jQuery and FusionCharts.

How do we understand and interpret the huge amounts of data coming out of simulations? How do we visualize potential gigabytes of datapoints in a large dataset? In this article I will give a quick introduction to VTK and its pipeline architecture, and go on to discuss a real-life visualization example.