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Data visualization tour is a class of linear projections that are animate small changes in a projection basis over time. Shadows are an example of a 3D object casting a 2D linear projection. Imagine a bar stool cast a circular shadow of its seat. Watching the shadow alone, a rotation of the objection would quickly give structural information about the object; when the legs are rotated into frame you can be more certain the object is a bar stool. In the same way, a tour watches a lower-dimensional projection of the data object. The object permanence of the observations between frames holds structural information that is revealed as the object is rotated.
Such visualizations are applicable to numeric matrices which could be approximations of component spaces or feature decomposition of non-tabular data. Continuous quantitative variables are preferred, although ordinal discrete variables can also be used. Mapping color and/or shape to a (supervised) class tends to be helpful.
The tourr
R package implements grand tours (constrained random walks in the basis), projection pursuit (basis anneals to some objective function), and several other variants and options of visualization tours.
Grand tour
The work and contribution of spinifex
are primarily two-fold. The addition of manual tours which allow for user defined (and interactive!) control of the basis. Secondly, a layered API to create tour elements that mirrors the additive creation of ggplot2
visuals. The extension to gganimate
and plotly
graphics packages, which allow for more control over display and exporting .gif, .mp4, and .html widgets of tours. The later can also consume tours produced in tourr
!
We see that bill length is important for separating the orange and green species. Let’s change its contribution with a manual tour:
Manual tour
#install.packages("spinifex") ## Install from CRAN
library("spinifex") ## Load into session
run_app("radial_tour") ## Run a local shiny app, showing radial tours
vignette("getting started with spinifex") ## Introduction to tours and spinifex
vignette("ggproto api") ## Introduction to the new ggproto api
?ggtour ## Examples and links to ggproto functions
help(package = "spinifex") ## Review the package contents and documentation
The ggproto API is a layered approach to the composition of animated tours, it should feel similar to the composition of ggplots.
Family | Function | Related to | Description |
---|---|---|---|
processing | scale_01/sd | - | scale each column to [01]/std dev away from the mean |
processing | basis_pca/olda/… | Rdimtools::do.* | basis of orthogonal component spaces |
processing | basis_half_circle | - | basis with uniform contribution across half of a circle |
processing | basis_guided | tourr::guided_tour | silently return the basis from a guided tour |
tour path | manual_tour | - | basis and interpolation information for a manual tour |
tour path | save_history | tourr::save_history | silent extended wrapper returning other tour arrays |
display | ggtour | ggplot2::ggplot | canvas and initialization for a tour animation |
display | proto_point/text | geom_point/text | adds observation points/text |
display | proto_density/2d | geom_density/2d | adds density curve/2d contours |
display | proto_hex | geom_hex | adds hexagonal heatmap of observations |
display | proto_basis/1d | - | adds adding basis visual in a unit-circle/-rectangle |
display | proto_origin/1d | - | adds reference mark in the center of the data |
display | proto_default/1d | - | wrapper for proto_* point + basis + origin |
display | facet_wrap_tour | ggplot2::facet_wrap | facets on the levels of variable |
display | append_fixed_y | - | add/overwrite a fixed vertical position |
animation | animate_plotly | plotly::ggplotly | render as an interactive html widget |
animation | animate_gganimate | gganimate::animate | render as a gif, mp4, or other video format |
animation | filmstrip | - | static gpplot faceting on the frames of the animation |
Please submit bug reports, errors, and feature requests to https://github.com/nspyrison/spinifex/issues
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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