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Update from source repository (workflow run: 19479844342) (PR #15530) (commit: 75c77fb980043e096b1a7d638be7fc6f0fd15ba8) (branch: 10.15.0.cl)
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= New chart settings experience
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:last_updated: 11/18/2025
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:linkattrs:
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:experimental:
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:page-layout: default-cloud-early-access
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:page-aliases:
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:description: Charts display your search answer in a visual way.
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:jira: SCAL-229394, SCAL-217624, SCAL-235858, SCAL-240479, SCAL-261671, SCAL-277691
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The new chart settings experience provides a more intuitive layout organized by chart objects like axis, tooltips and legends, where properties for a component are listed with the component. Settings inheritance allows commonly used properties to be inherited across similar chart elements. This means you won't have to configure the same settings multiple times. For example, if you apply number formatting to one column, it will be applied to multiple columns, though you can change it later if you want.
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By default, chart settings load in _basic_ mode, which provides the most common settings. However, you can change to _advanced_ mode to display additional settings. This setting is saved individually, so each time you return to the new chart settings experience, it will remember your setting from the last time you used it.
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== About chart types
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To change the chart type of your Answer:
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. Select the *Change visualization* icon image:icon-chart-type-10px.png[Chart type icon image] to get a palette of chart types you can choose from (scroll down to see more.)
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image::chartconfig-choosevisualization.png[Click 'change visualization' to choose a different chart type.]
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. Select a different chart or visualization type.
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[#control-default]
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== Control default and available chart types [.badge.badge-beta]#Beta#
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You can now control the default display mode for Answers (table or chart). You can also decide which chart types are available and default for your cluster. For example, you can set the default chart type for an Answer as a bar chart. You could also decide to remove pie charts from your cluster. To enable this feature, contact {support-url} with details about which charts you want to designate as available, or which chart you want to designate as default.
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[#choosing-a-chart]
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== Choosing a chart
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NOTE: Some chart types may not be available, depending on the columns in your search.
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For example, if your search does not contain at least one geographical column, then you will not be able to select any of the geo chart types.
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ThoughtSpot shows unavailable chart types as grayed out.
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Hovering over a chart type icon tell you what columns you require before you can use it.
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* *xref:chart-column.adoc[Column charts]* +
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The column chart is one of ThoughtSpot's simplest, yet most versatile chart types.
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The column chart is often the chosen default chart type, and displays data as vertical columns.
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* *xref:chart-column-stacked.adoc[Stacked columns]* +
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The stacked column combines the different secondary dimensions into a single column, stacking them.
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Note that the dimensions retain their relative size and color.
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* *xref:chart-bar.adoc[Bar charts]* +
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The bar chart is nearly identical to the column chart.
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The primary difference is that it displays data as horizontal bars.
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* *xref:chart-bar-stacked.adoc[Stacked bar charts]* +
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Just like stacked columns, stacked bars combine the different secondary dimensions into a single stacked bar.
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* *xref:chart-line.adoc[Line charts]* +
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Like the column chart, the line chart is one of ThoughtSpot's simplest, yet most versatile chart types.
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More often than not the line chart will be chosen as your default chart type.
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* *xref:chart-kpi.adoc[KPI charts]* +
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When you search a single measure, such as `Sales`, ThoughtSpot automatically creates a KPI chart displaying the topmost value of that column.
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Add a time-related keyword to your Search to view a sparkline visualization of your key performance indicator.
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* *xref:chart-donut.adoc[Donut charts]* +
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The donut chart is a classic chart type that displays your search in a circular ring.
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* *xref:chart-area.adoc[Area charts]* +
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The area chart is based on the line chart, but has filled in regions.
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* *xref:chart-area-stacked.adoc[Stacked area charts]* +
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This option stacks the values of one dimension on top of the other, enabling you to clearly see the relative volume of data under the line.
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Contrast this with the presentation in the area chart, where data for different overlaps.
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* *xref:chart-scatter.adoc[Scatter charts]* +
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The scatter chart is useful for finding correlations or outliers in your data.
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* *xref:chart-bubble.adoc[Bubble charts]* +
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The bubble chart displays three dimensions of data with each containing a set of values.
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* *xref:chart-pareto.adoc[Pareto charts]* +
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The pareto chart is a type of chart that contains both columns and a special type of line chart.
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* *xref:chart-waterfall.adoc[Waterfall charts]* +
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The waterfall chart is used to show how an initial value is affected by a series of intermediate positive or negative values.
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* *xref:chart-treemap.adoc[Treemap charts]* +
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The treemap chart displays hierarchical data as a set of nested rectangles.
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* *xref:chart-heatmap.adoc[Heatmap charts]* +
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The heatmap chart displays individual data values in a matrix following a color scale.
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* *xref:chart-line-column.adoc[Line column charts]* +
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The line column chart combines the column and line charts.
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* *xref:chart-line-column-stacked.adoc[Stacked line column charts]* +
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The line stacked column chart combines xref:chart-column-stacked.adoc[stacked column] and xref:chart-line.adoc[line] charts.
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There are two y-axes, one for each measure.
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* *xref:chart-funnel.adoc[Funnel charts]* +
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The funnel chart shows a process with progressively decreasing proportions amounting to 100 percent in total.
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* *xref:chart-geo.adoc[Geo charts]* +
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There are three geo charts that let you visualize geographical data in ThoughtSpot: xref:chart-geo-area.adoc[Area], xref:chart-geo-bubble.adoc[Bubble], and xref:chart-geo-heatmap.adoc[Heatmap].
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* *xref:chart-pivot-table.adoc[Pivot tables]* +
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Pivot tables in ThoughtSpot use the well known drag-and-drop interface.
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Creating a pivot table enables exploring alternate visualization of data in a wide table.
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The basic idea is that some data is easier to consume when laid out horizontally, while others, vertically.
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* *xref:chart-sankey.adoc[Sankey charts]* +
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Sankey charts show a flow from one set of values to another, usually with visual emphasis (brighter colors or larger bandwidths) for comparison of the values (for example, top cities in terms of sales might be emphasized).
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* *xref:chart-radar.adoc[Radar charts]* +
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Radar charts display multivariate data on a two-dimensional chart of three or more quantitative variables that plot on axes (spokes) that originate at the same point.
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* *xref:chart-candlestick.adoc[Candlestick charts]* +
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Candlestick charts efficiently collapse financial information, such as price movements on a single day, into a unified representation.
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A single 'candlestick' shows the _open_, _high_, _low_, and _close_ prices for the same day.
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[#charts-with-multiple-measures-on-the-y-axis]
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== Charts with multiple measures on the y-axis
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You can have multiple measures on the y-axis of many charts, which is a great additional way of presenting information in a chart.
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A stacked column chart displays the measures stacked in the same column, while a column chart displays the measures side by side.
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image::chartconfig-multiplemeasures.png[Stacked column chart example: multiple measures on the y axis]
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The following charts support multiple measures on the y-axis:
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* Column
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* Stacked Column
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* Bar
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* Stacked Bar
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* Line
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* Area
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* Stacked Area
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* Waterfall
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* Line Column
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* Line Stacked Column
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To learn more, see xref:chart-column-configure.adoc[Configure columns for the x and y axes].
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[#charts-with-gradients]
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== Change chart gradient
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You can now choose multiple colors to define a gradient in charts that support gradients -- geo heatmap, geo area, heatmap, and treemap charts. You can control the low, mid, and high values, and numerical value points to customize the gradient.
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To define the gradient in a geo heatmap, geo area, heatmap, or treemap chart, follow these steps:
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. Open your chart, click the gear icon, and select the measure tile under *Value*. In a search by sales, item type, and city, the value would be sales.
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. Select *Edit* under *Gradient*.
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. In the Gradient pop-up, define the colors for the *Low*, *Midpoint*, and *High* values using the color selector dropdowns.
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[.bordered]
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image:color-gradient.png[Edit the color gradient]
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. In the text boxes below the color selectors, you can define the low, midpoint, and high points numerically. You can define the low point, high point and midpoint as a narrow range if you would rather only see gradients for the top values of your measure.
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. (Optional) Select *Flip Color* to switch the high and low value colors.
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. Select *Save*.
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== Query SQL
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You can view the SQL query used to generate the chart by doing the following:
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- Click the Query visualizer button image:icon-query-visualizer.png[width="30px"].
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- Click the *Query SQL* button.
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[.bordered]
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image::query-sql-chart.png[Query SQL]
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= Coming soon
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:last_updated: 12/14/2023
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:last_updated: 11/18/2025
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:author: Mark Plummer
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:linkattrs:
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:experimental:
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:page-layout: default-cloud
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:page-role: -toc
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:description: Coming soon in ThoughtSpot Cloud 10.15.0.cl
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:description: Coming soon in ThoughtSpot Cloud 26.02.0.cl
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The following features are coming in the next release of ThoughtSpot Cloud
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// include::partial$whats-new-9-1-0-cl.adoc[]
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// include::partial$whats-new-26-02-0-cl.adoc[]
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TBD

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