71 lines
3.7 KiB
Plaintext
71 lines
3.7 KiB
Plaintext
[[line-chart]]
|
|
=== Line Charts
|
|
|
|
This chart's Y axis is the _metrics_ axis. The following aggregations are available for this axis:
|
|
|
|
include::y-axis-aggs.asciidoc[]
|
|
|
|
Before you choose a buckets aggregation, specify if you are splitting slices within a single chart or splitting into
|
|
multiple charts. A multiple chart split must run before any other aggregations. When you split a chart, you can change
|
|
if the splits are displayed in a row or a column by clicking the *Rows | Columns* selector.
|
|
|
|
include::x-axis-aggs.asciidoc[]
|
|
|
|
include::color-picker.asciidoc[]
|
|
|
|
You can click the *Advanced* link to display more customization options for your metrics or bucket aggregation:
|
|
|
|
*Exclude Pattern*:: Specify a pattern in this field to exclude from the results.
|
|
*Exclude Pattern Flags*:: A standard set of Java flags for the exclusion pattern.
|
|
*Include Pattern*:: Specify a pattern in this field to include in the results.
|
|
*Include Pattern Flags*:: A standard set of Java flags for the inclusion pattern.
|
|
*JSON Input*:: A text field where you can add specific JSON-formatted properties to merge with the aggregation
|
|
definition, as in the following example:
|
|
|
|
[source,shell]
|
|
{ "script" : "doc['grade'].value * 1.2" }
|
|
|
|
NOTE: In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable
|
|
{ref}/modules-scripting.html[dynamic Groovy scripting].
|
|
|
|
The availability of these options varies depending on the aggregation you choose.
|
|
|
|
Select the *Options* tab to change the following aspects of the chart:
|
|
|
|
*Y-Axis Scale*:: You can select *linear*, *log*, or *square root* scales for the chart's Y axis. You can use a log
|
|
scale to display data that varies exponentially, such as a compounding interest chart, or a square root scale to
|
|
regularize the display of data sets with variabilities that are themselves highly variable. This kind of data, where
|
|
the variability is itself variable over the domain being examined, is known as _heteroscedastic_ data. For example, if
|
|
a data set of height versus weight has a relatively narrow range of variability at the short end of height, but a wider
|
|
range at the taller end, the data set is heteroscedastic.
|
|
*Smooth Lines*:: Check this box to curve the line from point to point. Bear in mind that smoothed lines necessarily
|
|
affect the representation of your data and create a potential for ambiguity.
|
|
*Show Connecting Lines*:: Check this box to draw lines between the points on the chart.
|
|
*Show Circles*:: Check this box to draw each data point on the chart as a small circle.
|
|
*Current time marker*:: For charts of time-series data, check this box to draw a red line on the current time.
|
|
*Set Y-Axis Extents*:: Check this box and enter values in the *y-max* and *y-min* fields to set the Y axis to specific
|
|
values.
|
|
*Show Tooltip*:: Check this box to enable the display of tooltips.
|
|
*Show Legend*:: Check this box to enable the display of a legend next to the chart.
|
|
*Scale Y-Axis to Data Bounds*:: The default Y-axis bounds are zero and the maximum value returned in the data. Check
|
|
this box to change both upper and lower bounds to match the values returned in the data.
|
|
|
|
After changing options, click the *Apply changes* button to update your visualization, or the grey *Discard
|
|
changes* button to keep your visualization in its current state.
|
|
|
|
[float]
|
|
[[bubble-chart]]
|
|
==== Bubble Charts
|
|
You can convert a line chart visualization to a bubble chart by performing the following steps:
|
|
|
|
. Click *Add Metrics* for the visualization's Y axis, then select *Dot Size*.
|
|
. Select a metric aggregation from the drop-down list.
|
|
. In the *Options* tab, uncheck the *Show Connecting Lines* box.
|
|
. Click the *Apply changes* button.
|
|
|
|
[float]
|
|
[[line-viewing-detailed-information]]
|
|
==== Viewing Detailed Information
|
|
|
|
include::visualization-raw-data.asciidoc[]
|