ggvis is a data visualization package for R which lets you:
Declaratively describe data graphics with a syntax similar in spirit to ggplot2.
Create rich interactive graphics that you can play with locally in Rstudio or in your browser.
Leverage shiny’s infrastructure to publish interactive graphics usable from any browser (either within your company or to the world).
The goal is to combine the best of R (e.g. every modelling function you can imagine) and the best of the web (everyone has a web browser). Data manipulation and transformation are done in R, and the graphics are rendered in a web browser, using Vega. For RStudio users, ggvis graphics display in a viewer panel, which is possible because RStudio is a web browser.
In our list of best programs, we'll review some different alternatives to ggvis. Let's see if your platform is supported by any of them.
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. .
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matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms....
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Plotly is the easiest way to graph and share data online. Open-source libraries for JavaScript (comparison with HighCharts at https://plot.ly/highcharts-alternative/ )...
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This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection...
Bokeh is a python interactive visualization library that targets modern web browsers for presentation.
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vis.js is a dynamic, browser based visualization library. The library is designed to be easy to use, to handle large amounts of dynamic data, and to enable manipulation...
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