Data Science Tools: Visualization

Data Science Tools: Visualization

ggplot2 (for R)
ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

Tableau (commercial)

Tibco Spotfire (commercial)

Google Charts
Google chart tools are powerful, simple to use, and free. Try out our rich gallery of interactive charts and data tools.

Google Data Studio
Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions. Create unlimited Data Studio custom reports with full editing and sharing.

RStudio (commercial)

Qlik Sense Desktop (commercial)

JavaScript InfoVis Toolkit
The JavaScript InfoVis Toolkit provides tools for creating Interactive Data Visualizations for the Web.
The toolkit implements advanced features of information visualization like TreeMaps, an adapted visualization of trees based on the SpaceTree, a focus+context technique to plot Hyperbolic Trees, a radial layout of trees with advanced animations -called RGraph and other visualizations.

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