ggvis v0.4.4


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