Column chart
Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft 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. Maximum five panels. |
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
The example in this section shows how to use the syntax to help you get started.
The examples in this article use publicly available tables in the help cluster, such as the
StormEvents
table in the Samples database.
The examples in this article use publicly available tables, such as the
StormEvents
table in the Weather analytics sample data.
Render a column chart
This query provides a visual representation of states with a high frequency of storm events, specifically those with more than 10 events, using a column chart.
StormEvents
| summarize event_count=count() by State
| where event_count > 10
| project State, event_count
| render columnchart
Use the ysplit
property
This query provides a daily summary of storm-related injuries and deaths, visualized as a column chart with split axes/panels for better comparison.
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)
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)
Example
This query helps you identify states with a significant number of storm events and presents the information in a clear, visual format.
StormEvents
| summarize event_count=count() by State
| where event_count > 10
| project State, event_count
| render columnchart