ggvis Alternatives
ggvis
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.
Best ggvis Alternatives for Mac
Lets compare the best apps like ggvis, shall we? We've picked out some really great programs for your platform. Check them out!
Tableau
CommercialMacWindowsWebSelf-HostedTableau helps the world’s largest organizations unleash the power of their most valuable assets: their data and their people.
Features:
- Map projections
- Business Intelligence
- Drag n drop
- Excel integration
- Multiple languages
Matplotlib
FreeOpen SourceMacWindowsLinuxWebPythonmatplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms....
Features:
- Python
- Run from python interpreter
Plotly
FreemiumOpen SourceMacWindowsLinuxWebiPhoneChrome OSPlotly is the easiest way to graph and share data online. Open-source libraries for JavaScript (comparison with HighCharts at https://plot.ly/highcharts-alternative/ )...
Features:
- Charts
- Graphs
- Python
NVD3
FreeOpen SourceMacWindowsLinuxWebThis 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
FreeOpen SourceMacWindowsLinuxWebBokeh is a python interactive visualization library that targets modern web browsers for presentation.
Features:
- Python
- Qualitative Data Analysis
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