A histogram displays the frequency distribution of continuous data, revealing characteristics such as central tendency, dispersion, skewness, and kurtosis. You can add data to a histogram and configure its style to suit your analysis needs.
Prerequisites
You have created a dashboard. For more information, see Create a dashboard.
Chart Overview
A histogram divides a data range into a series of continuous intervals and uses rectangular bars to show the number of data points in each interval, providing a visual representation of the data distribution and the differences between data groups.
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Bin: A continuous, non-overlapping interval used to divide a data range.
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Frequency: The number of data points within each bin.
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Bar: Each rectangular bar represents the number of data points in a bin. The width of the bar indicates the size of the bin, and the height represents the frequency of values in that bin.
Use cases
Common use cases for histograms include:
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Analyze central tendency, such as the average customer satisfaction with a product or service.
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Analyze data distribution, such as student scores to assess teaching effectiveness.
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Analyze data dispersion, such as the temperature variation in a geographic area to understand climate stability.
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Analyze data skewness, such as the product preferences of consumers at different income levels.
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Identify outliers, such as monitoring the stability of product quality and detecting products that fall outside the normal quality range.
Benefits
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Visualization: Supports adjusting chart styles for more intuitive display and adding supplementary configurations such as legends and tooltips.
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Annotation: Supports adding custom notes and endnotes, and configuring navigation to external links for interaction between your data and other systems.
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Interactivity: Supports drill down, interaction, navigation (only when a color legend is present), dimension/measure filtering, and in-table filtering.
Example

You can analyze the following from a histogram:
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Skewness: An asymmetrical histogram shape indicates a skewed data distribution.
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When the long tail of the histogram is on the right, it is called right-skewed (positive skew). In this case, most of the data is concentrated on the left side of the histogram.
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When the long tail of the histogram is on the left, it is called left-skewed (negative skew). In this case, most of the data is concentrated on the right side of the histogram.
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Central tendency: Central tendency is typically described by the mean, median, and mode. By observing the overall distribution shape, you can estimate their positions and understand the dataset's central tendency.
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When a histogram has a symmetrical distribution, the mean, median, and mode are approximately equal and located at the center of the histogram.
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When a histogram has a long tail on the right, most of the data is concentrated on the left with fewer data points on the right. In this case, the mean is greater than the median, and the mode is on the left side of the histogram.
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When a histogram has a long tail on the left, most of the data is concentrated on the right with fewer data points on the left. In this case, the mean is less than the median, and the mode is on the right side of the histogram.
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Dispersion: Assess the dispersion of data by observing the overall width and the height differences between bars.
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Outliers: Bars located far from other data points may indicate outliers.
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Kurtosis: The sharpness or flatness of the peak reflects the kurtosis of the dataset. A sharp peak indicates more concentrated data, while a flat shape indicates a more uniform distribution.
Configure Chart Fields
The following example uses an analysis of order quantity for different product types to show how to configure fields.
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In the Data panel, select the fields you need. Double-click or drag the fields to the corresponding sections on the Fields tab.

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In the value axis/measure section, add the primary measure for the chart.
For this example, drag the order_quantity field to serve as the primary measure.
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Click Update. The system automatically updates the chart.

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(Optional) To analyze data by dimension, add a dimension field to the color legend/dimension section. The chart then divides the bars based on the dimension values. For example, you can break down the order quantity by product type.
In this example, drag the product_type field to break down the order quantity by product type.

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(Optional) To perform multi-dimensional analysis, add a dimension field to the split by/dimension section to view data for different dimension values in facet mode.
In this example, drag the report_date(year) field to view order quantities for different years.
NoteYou can add only one dimension to split by. Facet mode has the following limitations:
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Style: The overview axis is not supported in Auxiliary Display.
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Analysis: Only data interaction is supported. Advanced Settings, Analysis & Alerts, Annotation, and Smart Insights are not supported.
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(Optional) To view data for a specific measure in the tooltip, add the measure to tooltip/measure.

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(Optional) To filter the displayed data, drag the field you want to filter by to the filter area. For example, to filter out data from certain regions, drag the Region field to the filter area, then click the
icon to select the required data in the Set Filter window.
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(Optional) Auto Refresh
If you enable this option, the system automatically refreshes the chart data. For example, if you select this option, set the duration to 5, and select Minute(s) as the unit, the system refreshes the chart data every 5 minutes.

Configure Chart Style
Configure the style settings for the chart. For general Title and Card settings, see Configure the chart title area.

Chart Area
On the Style tab, in the Chart Area section, configure the style of the bars in the histogram.

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Parameter |
Description |
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Bar color |
Sets the color scheme for the bars. You can also enable a gradient effect. |
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Bin calculation |
Bins are the intervals created by grouping data. The number of bars is the group count, and the width of each bar is the bin width. You can set the bin calculation method to Default, Custom bin width, or Custom bin count.
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Show bin range |
Shows or hides the bin range and sets its position. You can display it next to the X-axis title or above the chart. |
Facet
In facet mode, configure the layout and style of the charts in the Facet section.
Facet mode is enabled only when a field is configured in the split by/dimension section.

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Parameter |
Description |
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Layout style |
Sets the chart arrangement. Single column comparison and Grid layouts are supported. |
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Share axis |
Enables or disables axis sharing.
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Show split line |
Shows or hides a split line between charts. If enabled, you can also configure the split line's color and style. |
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Number of columns |
When the layout style is set to Grid, this sets the number of columns for the chart arrangement. The default is Auto, but you can also customize the number of columns. Note
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Min facet block width/height |
Sets the minimum width and height for each chart. The available options vary by layout style.
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Row/column spacing |
Sets the spacing between rows and columns of charts. The available options vary by layout style.
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Split label |
Position |
Sets the display position of the dimension value label. You can place it above the chart or below the chart. |
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Text |
Sets the font color and style of the dimension value label. |
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Align |
Sets the alignment of the dimension value label. |
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Axes
On the Style tab, in the Axes section, configure the axis styles. By default, axes are shown.

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Axis |
Option |
Description |
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X-axis |
Show X-axis |
Shows or hides the X-axis. |
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Show title and unit |
Shows or hides the Title and Unit on the X-axis. You can customize the title, the unit, and the text style. |
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Show axis label |
Shows or hides labels on the X-axis. If enabled, you can configure the Axis label display format and Text style. The axis label format can be set to Auto or Custom.
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Show tick marks |
Shows or hides tick marks on the X-axis. |
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Show axis line |
Shows or hides the X-axis line. If enabled, you can customize the axis style, including line type, width, and color. |
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Show gridlines |
Shows or hides gridlines for the X-axis. If enabled, you can customize the gridline style, including line type, width, and color. |
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Left Y-axis |
Show left Y-axis |
Shows or hides the left Y-axis. |
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Invert Y-axis |
Inverts the Y-axis. |
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Show title and unit |
Shows or hides the left Y-axis Title and Unit. You can customize the title and configure the text style. |
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Show axis label |
Shows or hides labels on the left Y-axis. If enabled, you can configure the Axis label display format and Text style. The axis label format can be set to Auto or Custom.
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Show tick marks |
Shows or hides tick marks on the left Y-axis. |
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Show axis line |
Shows or hides the left Y-axis line. If enabled, you can customize the axis style, including line type, width, and color. |
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Show gridlines |
Shows or hides gridlines for the left Y-axis. If enabled, you can customize the gridline style, including line type, width, and color. |
Legend
In the Legend section, click the
icon to enable the chart legend and configure its style.
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Parameter |
Description |
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Position |
Sets the position and alignment of the legend.
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Text |
Sets the legend text style, including font color, size, weight, and italicization. |
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Mobile legend |
Legend settings for PC and mobile views are independent. You can switch to the mobile editing view by using the PC/Mobile toggle button ( |
Data Labels
In the Data Labels section, configure whether to show data labels and their style.
The Position and Text settings here apply to all data labels. You can configure data labels and their formats for individual measures or dimension values in Series Settings.

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Parameter |
Description |
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Show all |
When you enable this option, the system intelligently adjusts label positions to prevent them from overlapping. If there are too many data labels, some may not be displayed if they extend beyond the axis area. With this option enabled, you can also select Allow Data Labels to Overlap. |
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Content |
Sets the data content to be displayed in the chart. You can choose to display measures, percentages, or statistics. When displaying percentage data, you can also set the Percentage Decimal Places to 0, 1, or 2. |
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Position |
Sets the display position of the data labels. Options include Auto, Outside End, Inside End, Inside Base, Center, and Inside Left. |
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Text |
Sets the text format for the data labels. |
Tooltip
In the Tooltip section, click the
icon to enable tooltips and configure their style.

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Parameter |
Description |
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Display mode |
Sets how tooltip content is displayed. You can choose By Single Data Point or By Dimension Value.
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Content |
Selects the data content to display in the tooltip. The available options vary by configuration: When the display mode is By Single Data Point, Percentage is supported. When the display mode is By Dimension Value, Total and Percentage are supported.
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Background color |
Sets the background fill color of the tooltip. |
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Text |
Sets the style of the text in the tooltip, including font color, size, weight, and italicization. |
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Mobile tooltip |
Tooltips can be enabled or disabled independently for PC and mobile views. You can switch to the mobile editing view by using the PC/Mobile toggle button ( |
Series Settings
In the Series Settings section, configure the series style.
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If a color legend field is configured in the Fields panel:

Parameter
Description
Select field
Selects the measure or dimension value whose label format you want to configure.
Alias
Sets a field name that aligns with your business scenario.
Show data labels
Shows or hides data labels and configures their position and text format.
Series value display format
Configures the display format for series values. You can select Auto or Custom.
NoteThe series value display format configured here applies only to frequency.
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Auto: This is the default option. The series value inherits the display format of the Y-axis label.
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Custom: Click the
icon to configure the data format in the Data Display Format Settings dialog box. For information about the options, see Data display format > Custom.
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If no color legend field is configured in the Fields panel:

Parameter
Description
Select field
Selects the measure or dimension value whose label format you want to configure.
Show data labels
Shows or hides data labels and configures their position and text format.
Show extrema
Shows or hides labels for the maximum and minimum values in the chart. If enabled, you can set the label Position, the Display Content (Maximum/Minimum), the label Background Color, and the label Text Style.
Auxiliary Display
On the Style tab, in the Auxiliary Display section, configure the in-chart metric filter and view controls.
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Parameter |
Description |
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Enable metric filter display |
Enables or disables the in-chart metric filter. If enabled, you can also set the default selected metric field. |
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View controls |
When there is a large amount of dense data on an axis that cannot be fully displayed within the current container size, you can click the You can control the visible range on the chart axis using two types of controls: overview axis and scroll bar.
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If no view control is configured for the chart and the chart size is too small, the system automatically enables view controls, selects overview axis, and displays it only when the data volume exceeds the chart container's display width. |
Configure Chart Analysis
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Parameter |
Option |
Description |
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Data interaction |
Drill Down |
After you configure drill down fields in the Fields panel, you can set the display style for the drill-down levels here. For more information, see Drill Down. |
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Interaction |
When the data you need to analyze resides in different charts, you can link multiple charts through interactions. For more information, see Interaction. |
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Navigation |
When the data that you want to analyze resides on multiple dashboards, you can use navigation to link them together. This feature supports three navigation types: in-product navigation, in-page components, and external links. For more information, see Navigation. |
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Analysis and alerts |
Reference Line |
Use a reference line to compare the current measure value with a set value. The reference line value can be a fixed value or a calculated value. Calculated values include average, maximum, minimum, and median. For more information, see Analysis & Alerts. |
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Annotation |
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When data in a chart is anomalous or requires special attention, you can use color highlights, icons, comments, or data points to create an annotation, helping you identify anomalies and take appropriate action. For more information, see Annotation. |
Next Steps
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To let others view the dashboard, share it with them. For more information, see Share a dashboard.
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To create a topic-based analysis with a navigation menu, integrate your dashboards into a data portal. For more information, see Data Portal.
















) at the top of the dashboard editing page to configure a suitable legend for mobile devices, including its position and text style.



icon to enable chart view controls. This allows viewers to dynamically adjust the chart's visible range by scrolling, providing an interactive experience while maintaining data integrity and readability.
By default, the overview axis is shown only when the amount of data exceeds the display width of the chart container. To always show the overview axis, select Always Show. The overview axis will then always be displayed, even if the chart data does not fill the screen.
You can set a minimum category width for the scroll bar to limit the amount of data in the current window. This ensures that the chart content is clearly scaled and avoids visual clutter from overlapping data labels or overly dense data points. The minimum category width is 32px by default, with a range of 16-100px.