GgraptR
ggraptR is an R package that provides grammar of graphics style plotting using ggplot2 geoms. It aims to make complex multivariate data visualization easier and has functions for visualizing networks, geographic data, and textual data.
ggplot2
networks
geographic-data
textual-data
grammar-of-graphics
multivariate-data-visualization
ggraptR: Grammar of Graphics Style Plotting
A R package providing grammar of graphics style plotting using ggplot2 geoms for easier multivariate data visualization, including functions for networks, geographic and textual data.
What is GgraptR?
ggraptR is an R package that builds on ggplot2 to create specialized graphs for network analysis, geospatial data, and text analysis. It provides a grammar of graphics interface, making complex multivariate data visualization more accessible. Key features include:
- Network visualization - plot network graphs and trees with automatic layouts like force-directed, circular, etc.
- Geospatial data mapping - easily make choropleth maps, dot density maps, flow maps with geographic data
- Text visualization - create word clouds, word trees, sentiment roses to visualize unstructured text
- Grammar of graphics interface - takes advantage of ggplot2's flexible and consistent design to customize all visualizations
- Interactive graphs - zooming, panning, tooltip hovers supported out-of-the-box
- Handles large graph and map data - optimized to plot tens of thousands of nodes and polygons smoothly
Overall, ggraptR makes creating publication-quality network and geographic visualizations much easier for users already familiar with ggplot2. It eliminates the need to learn different specialty graphing libraries and formats data correctly under one consistent framework.
GgraptR Features
Features
- Provides grammar of graphics style plotting using ggplot2
- Makes complex multivariate data visualization easier
- Has functions for visualizing networks, geographic data, and textual data
Pricing
- Open Source
Pros
Built on top of ggplot2, so inherits its flexibility and large user community
Intuitive syntax for generating complex plots
Specialised functions for visualizing particular data types
Cons
Less customizable than pure ggplot2
Smaller user community than ggplot2
Only useful if your data fits its specialised plotting functions
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