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ggvis

The goal of ggvis is to make it easy to describe interactive web graphics in R. It combines:

a grammar of graphics from ggplot2,
reactive programming from shiny, and
data transformation pipelines from dplyr.

ggvis graphics are rendered with vega, so you can generate both raster graphics with HTML5 canvas and vector graphics with svg. ggvis is less flexible than raw d3 or vega, but is much more succinct and is tailored to the needs of exploratory data analysis.

If you find a bug, please file a minimal reproducible example at http://github.com/rstudio/ggvis/issues. If you're not sure if something is a bug, you'd like to discuss new features or have any other questions about ggvis, please join us on the mailing list: https://groups.google.com/group/ggvis.

Installation

Install the latest release version from CRAN with:

install.packages("ggvis")

Install the latest development version with:

# install.packages("devtools")
devtools::install_github("hadley/lazyeval", build_vignettes = FALSE)
devtools::install_github("hadley/dplyr", build_vignettes = FALSE)
devtools::install_github("rstudio/ggvis", build_vignettes = FALSE)

Getting started

You construct a visualisation by piping pieces together with %>%. The pipeline starts with a data set, flows into ggvis() to specify default visual properties, then layers on some visual elements:

mtcars %>% ggvis(~mpg, ~wt) %>% layer_points()

The vignettes, available from http://ggvis.rstudio.com/, provide many more details. Start with the introduction, then work your way through the more advanced topics. Also check out the various demos in the demo/ directory. See the basics in demo/scatterplot.r then check out the the coolest demos, demo/interactive.r and demo/tourr.r.

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Version

Install

install.packages('ggvis')

Monthly Downloads

4,045

Version

0.4.3

License

GPL-2 | file LICENSE

Maintainer

Winston Chang

Last Published

July 22nd, 2016

Functions in ggvis (0.4.3)

Add a vega axis specification to a ggvis plot

Cocaine seizures in the US.

Align positions using length.

Bin data along a continuous variable

compute_boxplot

Calculate boxplot values

compute_density

Compute density of data.

Count data at each location

Automatically group data by grouping variables

Create an axis_props object for controlling axis properties.

compute_tabulate

Count data at each location of a categorical variable

Create a broker object

compute_model_prediction

Create a model of a data set and compute predictions.

Stack overlapping data.

Create a new interactive "input" object.

default_options

Default options

Explain details of an object

Print out the structure of a ggvis object in a friendly format

Dplyr verbs for ggvis.

Export a PNG or SVG from a ggvis object

Generate sequence of fixed size intervals covering range.

Visualise a data set with a ggvis graphic.

Handle mouse actions on marks.

Get data from a ggvis object

ggvisOutputElements

Create HTML elements for ggvis output

Divide data into groups.

Handle brush events on a visualisation.

Send a message to ggvis running on client

Create a new ggvis_scale object.

ggvisControlOutput

Create a ggvis control output element in UI

Create an interactive slider.

Create interactive control to select one (or more options) from a list.

Create an interactive text or numeric input box.

Is an object a ggvis object?

Tests whether an object is an axis_props object

Determine if an object is a broker object

Determine if an ggvis is dynamic (i.e. needs to be run in a shiny app)

is.legend_props

Tests whether an object is a legend_props object

Handlers and interactive inputs for plot sizing.

Create an interactive checkbox.

Guess the right type of layer based on current properties.

is.scaled_value

Tests whether an object is a scaled_value object

knit_print.ggvis

Knit print method for ggvis plots.

Layer lines on a plot.

layer_densities

Transformation: density estimate

Display data with a boxplot.

Create a new layering function.

layer_model_predictions

Overlay model predictions or a smooth curve.

Display data with bars (a barchart).

layer_histograms

Display binned data

Create new prop object

Interactive inputs bound to arrow keys.

Create an axis_props object for controlling legend properties.

Tools to save and view static specs.

Add a date-time scale to a ggvis object.

Define padding.

Add a numeric scale to a ggvis object.

Add a ordinal, nominal, or logical scale to a ggvis object.

sidebarBottomPage

Create a page with a sidebar

add_guide_legend

Defunct function for adding a legend

Defunct function for adding an axis

Add a vega legend specification to a ggvis plot

Add visual properties to a visualisation

Create a linked brush object.

Create a new "mark" object.

Create a property.

propname_to_scale

Convert the name of a property to the name of its default scale.

Send a message to the client to show or hide a tooltip

Print out the vega plot specification

add_relative_scales

Add x_rel and y_rel scales

Add arbitrary scales to ggvis.

Property domain.

View in a ggvis plot in the browser.

Add a scale to a ggvis plot

vega_data_parser

Determine the vega data type for a vector

Create a scaled_value object

Add dataset to a visualisation

Waggle back and forth between two numbers

Manage a list of properties.

Compute the "resolution" of a data vector.

set_scale_label

Set the label for a scale

Connect a ggvis graphic to a shiny app.

Determine the "type" of a vector

Create a subvisualisation.

Determine if range of vector is close to zero, with a specified tolerance

Add tooltips to a plot.

scaletype_to_vega_scaletype

Given the type of a ggvis scale, get the name of its corresponding vega scale

Set options for a ggvis plot

Coerce an ggvis object to a vega list.