Bar chart

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel

The bar chart visual needs a minimum of two columns in the query result. By default, the first column is used as the y-axis. This column can contain text, datetime, or numeric data types. The other columns are used as the x-axis and contain numeric data types to be displayed as horizontal lines. Bar charts are used mainly for comparing numeric and nominal discrete values, 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 barchart [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.

kind property

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

kind value	Description
default	Each "bar" stands on its own.
unstacked	Same as default.
stacked	Stack "bars".
stacked100	Stack "bars" and stretch each one to the same width as the others.

Examples

Render a bar chart

The following query creates a bar chart displaying the number of storm events for each state, filtering only those states with more than 10 events. The chart provides a visual representation of the event distribution across different states.

StormEvents
| summarize event_count=count() by State
| project State, event_count
| render barchart
    with (
    title="Storm count by state",
    ytitle="Storm count",
    xtitle="State",
    legend=hidden
    )

Render a stacked bar chart

The following query creates a stacked bar chart that shows the total count of storm events by their type for selected states of Texas, California, and Florida. Each bar represents a storm event type, and the stacked bars show the breakdown of storm events by state within each type.

StormEvents
| where State in ("TEXAS", "CALIFORNIA", "FLORIDA")
| summarize EventCount = count() by EventType, State
| order by EventType asc, State desc
| render barchart with (kind=stacked)

Render a stacked100 bar chart

The following query creates a stacked100 bar chart that shows the total count of storm events by their type for selected states of Texas, California, and Florida. The chart shows the distribution of storm events across states within each type. Although the stacks visually sum up to 100, the values actually represent the number of events, not percentages. This visualization is helpful for understanding both the percentages and the actual event counts.

StormEvents
| where State in ("TEXAS", "CALIFORNIA", "FLORIDA")
| summarize EventCount = count() by EventType, State
| order by EventType asc, State desc
| render barchart with (kind=stacked100)

Use the ysplit property

Run the query

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

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

Run the query

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