D3: Data-Driven Documents

Getting Started with D3 - Creating Data-Driven Documents

D³ Data-Driven Documents

Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM). With D3, designers selectively bind input data to arbitrary document elements, applying dynamic...

Performance Comparison between Unity and D3.js for Cross-Platform Visualization on Mobile Devices

Modern data visualizations are developed as interactive and intuitive graphic applications. In the development process, programmers basically pursue the same goal: creating an application with a great performance. Such applications have to display information at its best way in every possible situation. In this paper, we present a performance comparison on mobile devices between D3.js and Unity...

D3SPARQL: JavaScript Library for Visualization of SPARQL Results

Semantic Web technologies are being widely applied in life sciences. Major bioinformatics data centers started to provide heterogeneous biomedical datasets in RDF and expose them at SPARQL endpoints. SPARQL query is used to search those endpoints and the results are obtained as a SPARQL Query Results XML Format or a SPARQL Query Results JSON Format, both are essentially tabular structured data....

Environment for Datasets Processing and Visualization Using SciDB

When a scientist analyzes certain datasets, there are three common steps—import, visualize, and process data. There are some prevalent tools to visualize and process data, such as Matlab, Powersim, and Stella. However, these tools cannot handle big data. For data management, scientists are pursuing a new generation of Database Management Systems (DBMS) to replace traditional Relational Database...