BitQuery pursues two main objectives:
A node filter component for BitQuery VA-App: zoom and filter. Filters data according to legend filter settings
The BitQuery architecture consists of three abstraction layers, following the visual analytics approach (D. Keim, 2008):
Visual Analytics layouts of BitQuery include: CRAN edition, Special edition and GitHub edition.
BitQuery was presented at Data Science, Statistics & Visualization Conference 2017, Lisbon, Portugal:
The CRAN Edition aims at providing visual exploration of the R universe, a massive collection of all R packages on GitHub including CRAN (the Comprehensive R Archive Network) and Bioconductor (the collection of R packages for the analysis of genomic data). Find out more on CRAN Edition website.
The Special Edition illustrates a great potential of BitQuery for visual data mining of open source libraries, package networks and other well-documented data collections. The following metadata types are considered: YAML, DCF, JSON and Markdown.
Find out more on the Special Edition website.
The GitHub Edition is a Visual Analytics layout of BitQuery intended for an interactive visual knowledge discovery of GitHub organizations.
With the growing popularity of GitHub, the largest host of source code and collaboration platform in the world, it has evolved to a Big Data resource offering a variety of open source repositories. Since 2010 GitHub offers organizations, simplifying management of group-owned repositories, and thus facilitating the GitHub workflow for business and large open source projects. At present, there are more than one million organizations on GitHub, among them Google, Facebook, Twitter, Yahoo, CRAN, RStudio, D3, Plotly and many more.
Find out more on the GitHub Edition website.