Error Bar
Edit this page// Single View Specification
{
"data": ... ,
"mark": "errorbar",
"encoding": ... ,
...
}
An error bar summarizes an error range of quantitative values using a set of summary statistics, representing by rules (and optional end ticks). Error bars in Vega-Lite can either be used to aggregate raw data or directly visualize aggregated data.
To create an error bar, set mark
to "errorbar"
.
Documentation Overview
- Error Bar Mark Properties
- Using Error Bars to Aggregate Raw Data
- Using Error Bars to Visualize Aggregated Data
- Dimension & Orientation
- The Parts of Error Bars
- Color, and Opacity Encoding Channels
- Tooltip Encoding Channels
- Mark Config
Error Bar Mark Properties
An error bar’s mark definition contain the following properties:
Property | Type | Description |
---|---|---|
type | ErrorBar |
Required. The mark type. This could a primitive mark type (one of |
extent | String |
The extent of the rule. Available options include:
Default value: |
orient | String |
Orientation of the error bar. This is normally automatically determined, but can be specified when the orientation is ambiguous and cannot be automatically determined. |
color | Color | Gradient | ExprRef |
Default color. Default value: ■ Note:
|
opacity | Number |
The opacity (value between [0,1]) of the mark. |
Besides the properties listed above, rule
and ticks
can be used to specify the underlying mark properties for different parts of the error bar as well.
Using Error Bars to Aggregate Raw Data
If the data is not aggregated yet, Vega-Lite will aggregate the data based on the extent
properties in the mark definition.
- Error bars showing standard error is the default error bar in Vega-Lite. It can also be explicitly specified by setting
extent
to"stderr"
. The length of lower and upper rules represent standard error. By default, the rule marks expand from the mean.
- Error bar showing standard deviation can be specified by setting
extent
to"stdev"
. For this type of error bar, the length of lower and upper rules represent standard deviation. Like an error bar that shows Standard Error, the rule marks expand from the mean by default.
- Error bars showing confidence interval can be specified by setting
extent
to"ci"
. For this type of error bar, the rule marks expand from the"ci0"
value to"ci1"
value, as defined in aggregate.
- Error bars showing interquartile range can be specified by setting
extent
to"iqr"
. For this type of error bar, the rule marks expand from the first quartile to the third quartile.
Using Error Bars to Visualize Aggregated Data
- Data is aggregated with low and high values of the error bars
If the data is already pre-aggregated with low and high values of the error bars, you can directly specify x
and x2
(or y
and y2
) to use error bar as a ranged mark.
- Data is aggregated with center and error value(s)
If the data is already pre-aggregated with center and error values of the error bars, you can directly specity x
as center, xError
and xError2
as error values extended from center (or y
, yError
, and yError2
). If x/yError2
is omitted, error bars have symmetric error values.
Error bar with symmetric error values:
Error bar with asymmetric error values:
Note if error is pre-aggregated with asymmetric error values one of x/yError
and x/yError2
has to be positive value and other has to be negative value
Dimension & Orientation
Vega-Lite supports both 1D and 2D error bars:
{:#1d} A 1D error bar shows the error range of a continuous field.
The orientation of an error bar is automatically determined by the continuous field axis. For example, you can create a vertical 1D error bar by encoding a continuous field on the y axis.
{:#2d} A 2D error bar shows the error range of a continuous field, broken down by categories.
For 2D error bars with one continuous field and one discrete field, the error bars will be horizontal if the continuous field is on the x axis.
Alternatively, if the continuous field is on the y axis, the error bar will be vertical.
The Parts of Error Bars
Under the hood, the errorbar
mark is a composite mark that expands into a layered plot. For example, a basic 1D error bar shown above is expanded to:
We can customize different parts of the error bar mark definition or config.
For example, we can add the error bar’s end ticks and customize it by setting ticks
to true
or adding a mark property to ticks
, such as setting color
to "teal"
:
Color, and Opacity Encoding Channels
You can customize the color, size, and opacity of the bar in the errorbar
by using the color
, and opacity
encoding channels, which applied to the whole errorbar
.
Here is an example of a errorbar
with the color
encoding channel set to {"value": "#4682b4"}
.
Tooltip Encoding Channels
You can add custom tooltips to error bars. The custom tooltip will override the default error bar’s tooltips.
Mark Config
{
"errorbar": {
"extent": ...,
"rule": ...,
"ticks": ...
}
}
The errorbar
config object sets the default properties for errorbar
marks.
The error bar config can contain all error bar mark properties but currently does not support color
, opacity
, and orient
. Please see issue #3934 for details.