Column chart

Applies to: ✅ Microsoft FabricAzure Data ExplorerAzure MonitorMicrosoft Sentinel

The column chart visual needs a minimum of two columns in the query result. By default, the first column is used as the x-axis. This column can contain text, datetime, or numeric data types. The other columns are used as the y-axis and contain numeric data types to be displayed as vertical lines. Column charts are used for comparing specific sub category items in a main category range, where the length of each line represents its value.

Note

This visualization can only be used in the context of the render operator.

Syntax

T | render columnchart [with (propertyName = propertyValue [, ...])]

Learn more about syntax conventions.

Parameters

Name Type Required Description
T string ✔️ Input table name.
propertyName, propertyValue string A comma-separated list of key-value property pairs. See supported properties.

Supported properties

All properties are optional.

PropertyName PropertyValue
accumulate Whether the value of each measure gets added to all its predecessors. (true or false)
kind Further elaboration of the visualization kind. For more information, see kind property.
legend Whether to display a legend or not (visible or hidden).
series Comma-delimited list of columns whose combined per-record values define the series that record belongs to.
ymin The minimum value to be displayed on Y-axis.
ymax The maximum value to be displayed on Y-axis.
title The title of the visualization (of type string).
xaxis How to scale the x-axis (linear or log).
xcolumn Which column in the result is used for the x-axis.
xtitle The title of the x-axis (of type string).
yaxis How to scale the y-axis (linear or log).
ycolumns Comma-delimited list of columns that consist of the values provided per value of the x column.
ytitle The title of the y-axis (of type string).
ysplit How to split the visualization into multiple y-axis values. For more information, see ysplit property.

ysplit property

This visualization supports splitting into multiple y-axis values:

ysplit Description
none A single y-axis is displayed for all series data. This is the default.
axes A single chart is displayed with multiple y-axes (one per series).
panels One chart is rendered for each ycolumn value.

Supported properties

All properties are optional.

PropertyName PropertyValue
kind Further elaboration of the visualization kind. For more information, see kind property.
series Comma-delimited list of columns whose combined per-record values define the series that record belongs to.
title The title of the visualization (of type string).

kind property

This visualization can be further elaborated by providing the kind property. The supported values of this property are:

kind value Definition
default Each "column" stands on its own.
unstacked Same as default.
stacked Stack "columns" one atop the other.
stacked100 Stack "columns" and stretch each one to the same height as the others.

Examples

Render a column chart

StormEvents
| summarize event_count=count() by State
| where event_count > 10
| project State, event_count
| render columnchart

Screenshot of column chart visualization.

Use the ysplit property

StormEvents
| summarize
    TotalInjuries = sum(InjuriesDirect) + sum(InjuriesIndirect),
    TotalDeaths = sum(DeathsDirect) + sum(DeathsIndirect)
    by bin(StartTime, 1d)
| project StartTime, TotalInjuries, TotalDeaths
| render columnchart with (ysplit=axes)

Screenshot of column chart using ysplit axes property.

To split the view into separate panels, specify panels instead of axes:

StormEvents
| summarize
    TotalInjuries = sum(InjuriesDirect) + sum(InjuriesIndirect),
    TotalDeaths = sum(DeathsDirect) + sum(DeathsIndirect)
    by bin(StartTime, 1d)
| project StartTime, TotalInjuries, TotalDeaths
| render columnchart with (ysplit=panels)

Screenshot of column chart using ysplit panels property.

Example

StormEvents
| summarize event_count=count() by State
| where event_count > 10
| project State, event_count
| render columnchart

Screenshot of column chart visualization.