loon: loon: A Toolkit for Interactive Data Visualization and...
In loon: Interactive Statistical Data Visualization
loon R Documentation
loon: A Toolkit for Interactive Data Visualization and Exploration
Description
Loon is a toolkit for highly interactive data visualization. Interactions
with plots are provided with mouse and keyboard gestures as well as via
command line control and with inspectors that provide graphical user
interfaces (GUIs) for modifying and overseeing plots.
Details
Currently, loon implements the following statistical graphs: histogram,
scatterplot, serialaxes plot (star glyphs, parallel coordinates) and a graph
display for creating navigation graphs.
Some of the implemented scatterplot features, for example, are zooming,
panning, selection and moving of points, dynamic linking of plots, layering
of visual information such as maps and regression lines, custom point glyphs
(images, text, star glyphs), and event bindings. Event bindings provide hooks
to evaluate custom code at specific plot state changes or mouse and keyboard
interactions. Hence, event bindings can be used to add to or modify the
default behavior of the plot widgets.
Loon's capabilities are very useful for statistical analysis tasks such as
interactive exploratory data analysis, sensitivity analysis, animation,
teaching, and creating new graphical user interfaces.
To get started using loon read the package vignettes or visit the loon
website at https://great-northern-diver.github.io/loon/.
Author(s)
Maintainer: R. Wayne Oldford rwoldford@uwaterloo.ca [thesis advisor]
Authors:
Adrian Waddell adrian@waddell.ch
Other contributors:
Zehao Xu z267xu@uwaterloo.ca [contributor]
Martin Gauch martin.gauch@student.kit.edu [contributor]
See Also
Useful links:
loon documentation built on July 9, 2023, 5:48 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| loon | R Documentation |
loon: A Toolkit for Interactive Data Visualization and Exploration
Description
Loon is a toolkit for highly interactive data visualization. Interactions with plots are provided with mouse and keyboard gestures as well as via command line control and with inspectors that provide graphical user interfaces (GUIs) for modifying and overseeing plots.
Details
Currently, loon implements the following statistical graphs: histogram, scatterplot, serialaxes plot (star glyphs, parallel coordinates) and a graph display for creating navigation graphs.
Some of the implemented scatterplot features, for example, are zooming, panning, selection and moving of points, dynamic linking of plots, layering of visual information such as maps and regression lines, custom point glyphs (images, text, star glyphs), and event bindings. Event bindings provide hooks to evaluate custom code at specific plot state changes or mouse and keyboard interactions. Hence, event bindings can be used to add to or modify the default behavior of the plot widgets.
Loon's capabilities are very useful for statistical analysis tasks such as interactive exploratory data analysis, sensitivity analysis, animation, teaching, and creating new graphical user interfaces.
To get started using loon read the package vignettes or visit the loon website at https://great-northern-diver.github.io/loon/.
Author(s)
Maintainer: R. Wayne Oldford rwoldford@uwaterloo.ca [thesis advisor]
Authors:
Adrian Waddell adrian@waddell.ch
Other contributors:
Zehao Xu z267xu@uwaterloo.ca [contributor]
Martin Gauch martin.gauch@student.kit.edu [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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