timevis - Create interactive timeline visualizations in R

timevis lets you create rich and fully interactive timeline visualizations in R. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. timevis includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. This package is based on the vis.js Timeline module and the htmlwidgets R package.

Demo

Click here to view a live interactive demo of timevis.

Installation

timevis is available through both CRAN and GitHub:

To install the stable CRAN version:

install.packages("timevis")

To install the latest development version from GitHub:

install.packages("devtools")
devtools::install_github("daattali/timevis")

How to use

You can view a minimal timeline without any data by simply running

library(timevis)
timevis()

You can add data to the timeline by supplying a data.frame

data <- data.frame(
  id      = 1:4,
  content = c("Item one"  , "Item two"  ,"Ranged item", "Item four"),
  start   = c("2016-01-10", "2016-01-11", "2016-01-20", "2016-02-14 15:00:00"),
  end     = c(NA          ,           NA, "2016-02-04", NA)
)

timevis(data)

Every item must have a content and a start variable. If the item is a range rather than a single point in time, you can supply an end as well. id is only required if you want to access or manipulate an item. There are more variables that can be used in the data.frame -- they are all documented in the help file for ?timevis() under the Data format section.

The content of an item can even include HTML, which makes it easy to show any kind of data in a timeline, such as the matches of the 2014 World Cup:

If you know some CSS, you can completely customize the look of the timeline:

By default, a timeline will show the current date as a red vertical line and will have zoom in/out buttons. You can supply many customization options to timevis() in order to get it just right (see ?timevis() for details).

Interactivity

The timeline lets the user interact with it seamlessly. You can click on the zoom in/out buttons or drag the timeline left/right in order to move to past/future dates.

If you set the editable = TRUE option, then the user will be able to add new items by double clicking, modify items by dragging, and delete items by selecting them.

Groups

You can use the groups feature to group together multiple items into different "buckets". When using groups, all items with the same group are placed on one line. A vertical axis is displayed showing the group names. Grouping items can be useful for a wide range of applications, for example when showing availability of multiple people, rooms, or other resources next to each other. You can also think of groups as "adding a Y axis", if that helps.

Here is an example of a timeline that has three groups: "Library", "Gym", and "Pool":

In order to use groups, items in the data need to have group ids, and a separate dataframe containing the group information needs to be provided. More information about using groups and the groups dataframe is available in the help file for ?timevis() under the Groups section.

In a Shiny app

You can add a timeline to a Shiny app by adding timevisOutput() to the UI and renderTimevis(timevis()) to the server.

There are many functions that allow programmatic manipulation of a timeline. For example, addItem() programmatically adds a new item, centerItem() moves the timeline so that the given item is centered, setWindow() sets the start and end dates of the timeline, and more functions are available. Note that all these functions take the timeline's ID as their first argument.

It is also possible to retrieve data from a timeline in a Shiny app. When a timeline widget is created in a Shiny app, there are four pieces of information that are always accessible as Shiny inputs. These inputs have special names based on the timeline's id. Suppose that a timeline is created with an outputId of "mytime", then the following four input variables will be available:

input$mytime_data - will return a data.frame containing the data of the items in the timeline. The input is updated every time an item is modified, added, or removed.
input$mytime_ids - will return the IDs (a vector) of all the items in the timeline. The input is updated every time an item is added or removed from the timeline.
input$mytime_selected - will return the IDs (a vector) of the selected items in the timeline. The input is updated every time an item is selected or unselected by the user. Note that this will not get updated if an item is selected programmatically using the API functions.
input$mytime_window - will return a 2-element vector containing the minimum and maximum dates currently visible in the timeline. The input is updated every time the viewable window of dates is updated (by zooming or moving the window).

You can view examples of many of the features supported by checking out the demo Shiny app. If you want to see how those examples were created, the full code for the examples is inside inst/example.

Tutuchan / timevis