ggvis v0.4.5


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Interactive Grammar of Graphics

An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.



Build Status


ggvis is currently dormant. We fundamentally believe in the ideas that underlie ggvis: reactive programming is the right foundation for interactive visualisation. However, we are not currently working on ggvis because we do not see it as the most pressing issue for the R community as you can only use interactive graphics once you've successfuly tackled the rest of the data analysis process.

We hope to come back to ggvis in the future; in the meantime you might want to try out plotly or creating inteactive graphics with shiny.


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 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:


Install the latest release version from CRAN with:


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, 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.

Functions in ggvis

Name Description
add_axis Add a vega axis specification to a ggvis plot
band A band
axis_props Create an axis_props object for controlling axis properties.
auto_group Automatically group data by grouping variables
explain.ggvis Print out the structure of a ggvis object in a friendly format
export_png Export a PNG or SVG from a ggvis object
bin_vector Bin vectors
ggvis_message Send a message to ggvis running on client
explain Explain details of an object
compute_boxplot Calculate boxplot values
ggvisOutputElements Create HTML elements for ggvis output
dplyr-ggvis Dplyr verbs for ggvis.
compute_bin Bin data along a continuous variable
fullseq Generate sequence of fixed size intervals covering range.
input_text Create an interactive text or numeric input box. Determine if an object is a broker object
get_data Get data from a ggvis object
add_scale Add arbitrary scales to ggvis.
create_input Create a new interactive "input" object.
default_options Default options
is.axis_props Tests whether an object is an axis_props object
layer_densities Transformation: density estimate
layer_f Create a new layering function.
compute_count Count data at each location
handle_brush Handle brush events on a visualisation.
handle_click Handle mouse actions on marks.
input_select Create interactive control to select one (or more options) from a list.
is.dynamic Determine if an ggvis is dynamic (i.e. needs to be run in a shiny app)
layer_bars Display data with bars (a barchart).
cocaine Cocaine seizures in the US.
compute_tabulate Count data at each location of a categorical variable
compute_align Align positions using length.
linked_brush Create a linked brush object.
input_slider Create an interactive slider.
layer_lines Layer lines on a plot.
layer_model_predictions Overlay model predictions or a smooth curve.
compute_density Compute density of data.
layer_boxplots Display data with a boxplot.
create_broker Create a broker object
left_right Interactive inputs bound to arrow keys.
padding Define padding.
ggvis Visualise a data set with a ggvis graphic.
compute_stack Stack overlapping data.
compute_model_prediction Create a model of a data set and compute predictions.
input_checkbox Create an interactive checkbox.
handle_resize Handlers and interactive inputs for plot sizing.
%>% Pipe graphics
resolution Compute the "resolution" of a data vector.
props Manage a list of properties.
sidebarBottomPage Create a page with a sidebar
ggvisControlOutput Create a ggvis control output element in UI
group_by Divide data into groups.
print.ggvis View in a ggvis plot in the browser.
layer_guess Guess the right type of layer based on current properties.
ggvis_scale Create a new ggvis_scale object.
prop Create a property.
is.ggvis Is an object a ggvis object?
singular singular.
scale_numeric Add a numeric scale to a ggvis object.
scale_ordinal Add a ordinal, nominal, or logical scale to a ggvis object.
layer_histograms Display binned data
subvis Create a subvisualisation.
is.legend_props Tests whether an object is a legend_props object
is.scaled_value Tests whether an object is a scaled_value object
mark Create a new "mark" object.
prop_domain Property domain.
scale_datetime Add a date-time scale to a ggvis object.
save_spec Tools to save and view static specs.
legend_props Create an axis_props object for controlling legend properties.
knit_print.ggvis Knit print method for ggvis plots.
show_spec Print out the vega plot specification
scaletype_to_vega_scaletype Given the type of a ggvis scale, get the name of its corresponding vega scale
vega_data_parser Determine the vega data type for a vector
waggle Waggle back and forth between two numbers
set_options Set options for a ggvis plot
propname_to_scale Convert the name of a property to the name of its default scale.
zero_range Determine if range of vector is close to zero, with a specified tolerance
vector_type Determine the "type" of a vector
marks Vega marks.
new_prop Create new prop object
show_tooltip Send a message to the client to show or hide a tooltip
scaled_value Create a scaled_value object
scales Add a scale to a ggvis plot
shiny-ggvis Connect a ggvis graphic to a shiny app.
set_scale_label Set the label for a scale
add_legend Add a vega legend specification to a ggvis plot
as.vega Coerce an ggvis object to a vega list.
add_relative_scales Add x_rel and y_rel scales
add_props Add visual properties to a visualisation
add_guide_axis Defunct function for adding an axis
add_guide_legend Defunct function for adding a legend
add_tooltip Add tooltips to a plot.
add_data Add dataset to a visualisation
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