Unlock the full potential of your data visualizations with Databrain’s powerful chart actions. From interactive click behaviors and intelligent drill-downs to advanced forecasting and security controls, these features transform static charts into dynamic analytical tools. This guide walks you through essential chart actions that will help you create more engaging, interactive, and secure data experiences.
  1. Access Chart Actions:
  • Navigate to your metric card.
  • Click on the “Settings” icon in the top-right corner of the chart area.
  • Head to the “Actions” tab to begin customizing.
  1. Card Click Actions:
  • Click on the card in your dashboard to redirect to a specific page. Toggle to activate or deactivate.
  • Redirect Type: Define the type of redirection.
  • Identifier Type: Choose the identifier for redirection.
  • Destination Base URL: Specify the URL to direct users.
For more details, kindly refer the below link

Card Click Action

This card links to the full documentation on configuring card click actions in your dashboard.

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3. Chart Click Actions

  • Enable the toggle to set up actions when you click on the chart.
  • Redirect Type: Choose how you want to redirect.
  • Value Column: Select the data column for redirection.
  • Destination Base URL: Enter the URL for redirection.
For more details, kindly refer to the link below:

Chart Click Action

Learn how to configure redirection logic when clicking on chart elements including internal route types, value column mapping, and dynamic URL targets.

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4. Group X-Axis

Enable grouping to group your data along the x-axis to streamline visualization.

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Use Case:

Let us take a combo chart with dual scales showing quantity sold (purple bars) and profit (blue line) by store name and client name. When you toggle on Group X-Axis:
  • The detailed view automatically consolidates into four main store name groups
  • Both quantity sold and profit values are aggregated within each group
  • The result is a clearer visualization showing consolidated performance by store

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5. Sort on Metric Card

Sort the data directly on the metric card for better insights.

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6. Switch X axis, Switch Y axis

You can add Metric Filters for each card just like “Dashboard Filters”. For an in-depth guide on adding metric filters, refer to the below link.

Switch X axis and Switch Y axis

Learn how to toggle between axis dimensions to change your chart’s view dynamically.

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7. End user measures & dimensions

To configure dimensions and measures for charts and adjust them as needed, enhancing interactive data exploration capabilities. Use Case: Let us take a line chart with multiple metrics – quantity sold, unit price, and profit across stores. When you toggle ON “End user measures & dimensions” and select:
  • Dimension: store name
  • Measure: quantity sold
The chart immediately simplifies to show only quantity sold across stores, making it easier to analyze this specific metric.

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8. Drill Down

  • For charts with multiple dimensions, toggle the Drill down option.
  • Cross Filter: Adjust the entire dashboard based on your selected dimensions.
For more details, kindly refer the below links:

Drill Down

Learn how to enable and use drill-down functionality on metric cards.

Cross Dashboard Drill Down

Configure and apply cross-filters across dashboards using drill-down context.

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9. Forecasting

Enable or disable forecasting to predict future trends. Use Case:
Let us take a line chart showing quantity over time (2022–2024). When you toggle ON “Forecast” and configure:
  • Time Grain: Choose the relevant time intervals: Day, Week, Month, Quarter, Year
  • ARIMA Model Options: Choose from linear, constant, or constant plus linear trends
  • Prophet Model Options: Select linear or flat trends
  • Adjust Hyperparameters: Fine-tune your forecasting models as needed
The chart extends beyond current data (purple line) to show predicted future values (blue line) for the next 10 quarters, helping in business planning and decision-making.

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10. Security Actions

  • Hide Columns: Conceal specific columns from view.
  • Hide columns from CSV data: Prevent certain columns from being included in CSV exports.
By tailoring these chart actions, you can ensure a customized and secure data visualization experience in Databrain.