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ggvis

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.

Introduction

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 https://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("rstudio/ggvis")

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 https://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

9,380

Version

0.4.7

License

GPL-2 | file LICENSE

Maintainer

Winston Chang

Last Published

December 4th, 2020

Functions in ggvis (0.4.7)

add_relative_scales

Add x_rel and y_rel scales

Add a vega axis specification to a ggvis plot

Add a vega legend specification to a ggvis plot

Defunct function for adding an axis

Add dataset to a visualisation

Add tooltips to a plot.

Add visual properties to a visualisation

Add arbitrary scales to ggvis.

add_guide_legend

Defunct function for adding a legend

Coerce an ggvis object to a vega list.

Bin data along a continuous variable

Automatically group data by grouping variables

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

Export a PNG or SVG from a ggvis object

Create a broker object

compute_tabulate

Count data at each location of a categorical variable

Align positions using length.

Cocaine seizures in the US.

Send a message to ggvis running on client

ggvisOutputElements

Create HTML elements for ggvis output

compute_density

Compute density of data.

Count data at each location

Handle brush events on a visualisation.

Handle mouse actions on marks.

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

Determine if an object is a broker object

Create an interactive text or numeric input box.

Tests whether an object is an axis_props object

Create an axis_props object for controlling axis properties.

Explain details of an object

Visualise a data set with a ggvis graphic.

Dplyr verbs for ggvis.

Handlers and interactive inputs for plot sizing.

ggvisControlOutput

Create a ggvis control output element in UI

Create a new interactive "input" object.

default_options

Default options

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

Create an interactive slider.

layer_densities

Transformation: density estimate

Create an interactive checkbox.

Create a linked brush object.

Property domain.

Create a new "mark" object.

Display data with bars (a barchart).

Display data with a boxplot.

Create a new layering function.

Guess the right type of layer based on current properties.

Generate sequence of fixed size intervals covering range.

propname_to_scale

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

scaletype_to_vega_scaletype

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

Layer lines on a plot.

layer_model_predictions

Overlay model predictions or a smooth curve.

Set options for a ggvis plot

Get data from a ggvis object

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

layer_histograms

Display binned data

Create a property.

View in a ggvis plot in the browser.

Create a scaled_value object

compute_model_prediction

Create a model of a data set and compute predictions.

Create a new ggvis_scale object.

compute_boxplot

Calculate boxplot values

Divide data into groups.

Stack overlapping data.

set_scale_label

Set the label for a scale

Tools to save and view static specs.

Add a date-time scale to a ggvis object.

Create new prop object

Is an object a ggvis object?

is.legend_props

Tests whether an object is a legend_props object

Define padding.

knit_print.ggvis

Knit print method for ggvis plots.

is.scaled_value

Tests whether an object is a scaled_value object

Print out the vega plot specification

Add a numeric scale to a ggvis object.

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

Create a subvisualisation.

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

Determine the "type" of a vector

Connect a ggvis graphic to a shiny app.

vega_data_parser

Determine the vega data type for a vector

sidebarBottomPage

Create a page with a sidebar

Add a scale to a ggvis plot

Manage a list of properties.

Interactive inputs bound to arrow keys.

Compute the "resolution" of a data vector.

Create an axis_props object for controlling legend properties.

Waggle back and forth between two numbers