From ad5f7dad81bc1e46f330ab7fe3923efc608b7a69 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Fri, 24 Oct 2025 15:27:52 +0200 Subject: [PATCH 01/25] Draft page for Metric charts --- .gitignore | 5 +- explore-analyze/toc.yml | 1 + explore-analyze/visualize/metric-charts.md | 267 +++++++++++++++++++++ 3 files changed, 272 insertions(+), 1 deletion(-) create mode 100644 explore-analyze/visualize/metric-charts.md diff --git a/.gitignore b/.gitignore index 011dd3465d..102aa91b50 100644 --- a/.gitignore +++ b/.gitignore @@ -12,4 +12,7 @@ AGENTS.md .github/instructions/**.instructions.md CLAUDE.md GEMINI.md -.cursor \ No newline at end of file +.cursor + +# VS code settings +.vscode \ No newline at end of file diff --git a/explore-analyze/toc.yml b/explore-analyze/toc.yml index 461ce6107c..d3db3d22bf 100644 --- a/explore-analyze/toc.yml +++ b/explore-analyze/toc.yml @@ -188,6 +188,7 @@ toc: - file: visualize/visualize-library.md - file: visualize/manage-panels.md - file: visualize/lens.md + - file: visualize/metric-charts.md - file: visualize/esorql.md - file: visualize/custom-visualizations-with-vega.md - file: visualize/text-panels.md diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/metric-charts.md new file mode 100644 index 0000000000..6a9a9d0604 --- /dev/null +++ b/explore-analyze/visualize/metric-charts.md @@ -0,0 +1,267 @@ +--- +navigation_title: Metric charts +applies_to: + stack: ga + serverless: ga +description: Instructions and best practices for building metric charts with Kibana Lens in Elastic. +--- + +# Build metric charts with {{kib}} + +Metric charts display key performance indicators (KPIs) as large, prominent numbers that are easy to read at a glance. They excel at highlighting the most important values on your dashboards—whether that's total sales, active users, system uptime, or error rates. Use metric charts when you need to communicate status quickly, show progress toward goals, or compare current performance against historical trends. + +% + +The best way to create metric charts in {{kib}} is to use **Lens**. + +## Requirements + +Metric charts work with any data that can be aggregated into numeric values. You can use: + +* Numeric fields (integers, floats, longs, doubles) +* Count aggregations on any document set +* Percentiles and other statistical aggregations +* Calculated values using formulas +* Time-shifted values for trend comparisons + +If you want to show trends, you also need a date field so you can compare values across different time periods. + +## Build a metric chart + +Create a basic metric chart in a few steps. + +1. Open **Lens** from the navigation menu or from a dashboard. +2. Select the {{data-source}} that contains your data. +3. From the **Visualization type** dropdown, select **Metric**. +4. Drag a numeric field from the fields list to the **Metric** dimension in the layer pane. + + {{kib}} automatically selects an appropriate aggregation function like Sum, Average, or Count based on your field type. + +5. Configure the metric display options using the appearance settings in the editor toolbar. +6. Save your visualization by selecting **Save and return** to add it to a dashboard, or **Save to library** to reuse it across multiple dashboards. + +For a more advanced metric chart, you can add secondary metrics for comparisons, break down metrics by categories, or configure trend indicators to show whether your metrics are improving or declining. + +## Metric chart settings + +Customize your metric chart to display exactly the information you need, formatted the way you want. + +### Data configuration + +Define what data to display in your metric visualization. + +**Primary metric** +: The main numeric value that appears prominently in your chart. This is required. You can use aggregation functions like Sum, Average, Count, Median, or create custom calculations with formulas. Select the metric dimension in the layer pane to configure the aggregation function, add filters, or adjust the display name. + +**Secondary metric** +: An optional additional value that provides context or enables comparisons. Common uses include: + * Time-shifted values to show trends (for example, last week's sales compared to this week) + * Different aggregations on the same data (for example, showing both average and median response times) + * Related metrics for context (for example, showing total count alongside an average) + + When you add a secondary metric, you can configure it to display as a [trend indicator](#trend-indicators) with colors and directional arrows. + +**Maximum** +: An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can use percent-based color coding to show how close your metric is to this target. This is useful for showing progress toward goals or capacity limits. + +**Break down by** +: Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, making it easy to compare metrics across regions, products, time periods, or any other dimension. You can assign [consistent colors](lens.md#assign-colors-to-terms) to each breakdown value for better recognition across your dashboards. + +### Trend indicators +```{applies_to} +stack: ga 9.1 +serverless: ga +``` + +When you have both primary and secondary metrics, you can add trend indicators that compare them visually. This feature helps you spot improvements or declines at a glance. + +% + +To configure trend indicators: + +1. Add a secondary metric to your chart. +2. Select the secondary metric dimension in the layer pane. +3. Look for the **Color by value** option and configure the following settings: + +**Color by value** +: Controls whether and how your secondary metric displays trend indicators: + * **None**: No special formatting (default) + * **Static**: Displays the secondary metric in a colored badge with a single color you choose + * **Dynamic**: Enables trend indicators with colors and directional icons that change based on the comparison + +**Color palette** (when Dynamic is selected) +: Choose a palette that matches how you interpret changes: + * Green-to-red palettes work well when increases are positive + * Red-to-green palettes work well when decreases are positive + * Consider your users' expectations—green typically signals improvement while red signals issues + +**Display** (when Dynamic is selected) +: Choose what to show in the trend indicator: + * **Icon**: Shows only directional arrows: ↑ for increases, ↓ for decreases, = for no change + * **Value**: Shows only the numeric value of the secondary metric + * **Both**: Shows both the icon and value (default and most informative) + +**Compare to** (when Dynamic is selected) +: Define the baseline for your comparison: + * **Static value**: Compare against a fixed number you specify. Use this when you have a specific target or threshold. + * **Primary metric**: Compare the secondary metric directly against the primary metric. When you select this option, {{kib}} automatically updates the secondary metric to show the difference, and changes its label to "Difference." You can customize this label using the **Prefix** field in the metric configuration. + +::::{tip} +Use the `shift` parameter in formulas to create time-based comparisons. For example, if your primary metric uses `count()` to show this week's orders, use `count(shift='1w')` as your secondary metric to compare against last week. +:::: + +### Appearance options +```{applies_to} +stack: ga 9.2 +``` + +Control how your metric chart looks by selecting the {icon}`brush` **Appearance** button in the editor toolbar. + +**Primary metric** +: Customize how the main number appears: + * **Position**: Where to place the metric within its tile + * **Alignment**: Left, center, or right alignment + * **Font size**: Make the number larger for emphasis or smaller to fit more content + +**Title and subtitle** +: Add descriptive text above your metrics: + * Enter a title and optional subtitle + * Choose the **Alignment** (left, center, or right) + * Adjust the **Font weight** to make titles more or less prominent + +**Secondary metric** +: Control how the secondary value displays: + * **Alignment**: Position relative to the primary metric + +**Icon position** +: When using trend indicators with icons, choose where the icon appears relative to the metric values. + +### Value formatting + +Format your metric values so they're easy to understand at a glance. Select a metric dimension in the layer pane to access these options: + +**Value format** +: Choose how numbers display: + * **Number**: Standard numeric formatting with customizable decimal places + * **Percent**: Display as a percentage (multiply by 100 and add %) + * **Bytes**: Format as file sizes (B, KB, MB, GB, TB) + * **Currency**: Display with currency symbols + * **Duration**: Show as time periods (seconds, minutes, hours) + * **Custom**: Define your own number format pattern + +**Decimals** +: Specify how many decimal places to show. Use 0 for whole numbers, or increase for more precision. + +**Compact values** +: Turn this on to abbreviate large numbers. For example, 1,500,000 becomes 1.5M. + +**Prefix and Suffix** +: Add text before or after the metric value for additional context. For example, add "$" as a prefix for currency, or "ms" as a suffix for milliseconds. + +### Color customization + +Control the colors of your metrics to create visually meaningful dashboards. + +**Color by value** (for primary metric) +: Apply colors based on the metric's value using thresholds: + * Set threshold values that trigger color changes + * Choose colors for each threshold range + * Use this to highlight when metrics enter warning or critical ranges + +**Color mapping** (for breakdown metrics) +: When you break down metrics by a categorical field, you can assign specific colors to each category. This maintains color consistency when the same categories appear across multiple visualizations. For detailed information, refer to [Assign colors to terms](lens.md#assign-colors-to-terms). + +## Best practices + +Follow these guidelines to create effective metric charts: + +**Keep it focused** +: Show only the most important numbers. If a value doesn't drive decisions, leave it off the dashboard. + +**Choose the right aggregation** +: Think about what the number represents. Use Sum for totals, Average for typical values, Median when outliers skew averages, and Percentiles for understanding distribution. + +**Make trends meaningful** +: When showing trends, compare similar time periods. Compare week-over-week, month-over-month, or year-over-year. Avoid comparing a Monday to a Saturday if they have different patterns. + +**Use color wisely** +: Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context—for costs, lower might be better (green), while for revenue, higher is better (green). + +**Format for readability** +: Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. + +**Provide context** +: Use titles and subtitles to explain what the metric means. "45,234" is a number, but "Active Users" gives it meaning, and adding "Last 24 Hours" as a subtitle makes it actionable. + +**Limit breakdowns** +: When breaking down metrics, show 5-10 categories at most. More than that becomes hard to scan. Consider filtering to top values or creating a different visualization type. + +## Examples + +Here are common patterns you can adapt for your own data. + +### Executive dashboard KPI + +Display total revenue as a prominent number on an executive dashboard: + +* **Primary metric**: `sum(sales.revenue)` +* **Value format**: Currency with 1 decimal place +* **Title**: "Total Revenue" +* **Subtitle**: "Current Quarter" +* **Color by value**: Green when above target, red when below + +### Website traffic with trend + +Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: + +* **Primary metric**: `count()` (current week's page views) +* **Secondary metric**: `count(shift='1w')` (previous week's page views) +* **Trend indicator**: Dynamic coloring enabled +* **Compare to**: Primary metric +* **Display**: Both icon and value +* **Color palette**: Green for increases (more traffic is positive) +* **Title**: "Weekly Page Views" + +### System performance by service + +Compare response times across multiple services using breakdown: + +* **Primary metric**: `average(response_time_ms)` +* **Break down by**: `service.name` +* **Value format**: Number with suffix "ms" +* **Title**: "Average Response Time" +* **Color mapping**: Assign consistent colors to each service name +* **Color by value**: Red above 500ms, yellow between 200-500ms, green below 200ms + +### Error rate with formula + +Calculate and display error percentage using a formula: + +* **Primary metric formula**: `count(kql='status_code >= 400') / count() * 100` +* **Value format**: Percent with 2 decimals +* **Title**: "Error Rate" +* **Color by value**: Green below 1%, yellow between 1-5%, red above 5% + +### Capacity utilization + +Show current usage against maximum capacity: + +* **Primary metric**: `average(system.memory.used.bytes)` +* **Maximum**: `average(system.memory.total.bytes)` +* **Value format**: Bytes +* **Title**: "Memory Usage" +* **Color by value** (Percent mode): Green 0-70%, yellow 70-90%, red above 90% + +### Multi-service comparison + +Create a comprehensive view with multiple services side-by-side: + +* **Primary metric**: `count()` +* **Break down by**: `service.name` +* **Value format**: Number, compact values enabled +* **Title**: "Request Volume by Service" +* **Subtitle**: "Last Hour" +* **Color mapping**: Assign brand colors to each service for consistency + +% + From 721629078009fa8aefcb5aca01a790a04854b811 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Mon, 27 Oct 2025 18:45:12 +0100 Subject: [PATCH 02/25] metric chart better --- explore-analyze/images/metric-chart.png | Bin 0 -> 49113 bytes explore-analyze/visualize/lens.md | 2 + explore-analyze/visualize/metric-charts.md | 383 ++++++++++----------- 3 files changed, 191 insertions(+), 194 deletions(-) create mode 100644 explore-analyze/images/metric-chart.png diff --git a/explore-analyze/images/metric-chart.png 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db16b6f02f..b2dd70a42f 100644 --- a/explore-analyze/visualize/lens.md +++ b/explore-analyze/visualize/lens.md @@ -535,6 +535,8 @@ These options can vary depending on the type of chart. ```{applies_to} stack: ga 9.2 ``` +When creating or editing a visualization, you can customize several appearance options. To do that, look for the {icon}`brush` icon. + **Primary metric** : Define the formatting of the primary metric in terms of **Position**, **Alignment**, and **Font size**. diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/metric-charts.md index 6a9a9d0604..441e19be41 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/metric-charts.md @@ -8,260 +8,255 @@ description: Instructions and best practices for building metric charts with Kib # Build metric charts with {{kib}} -Metric charts display key performance indicators (KPIs) as large, prominent numbers that are easy to read at a glance. They excel at highlighting the most important values on your dashboards—whether that's total sales, active users, system uptime, or error rates. Use metric charts when you need to communicate status quickly, show progress toward goals, or compare current performance against historical trends. +Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs like total sales, active users, or error rates. They can show a plain number, a percentage, or a calculation like a count, sum, or average. -% +Metric charts are the best visualization when you need to show a single, important value and make it visible. -The best way to create metric charts in {{kib}} is to use **Lens**. +The best way to create metric charts in {{kib}} is with **Lens**. -## Requirements - -Metric charts work with any data that can be aggregated into numeric values. You can use: +![Metric chart representing an SLO](../images/metric-chart.png "=30%") -* Numeric fields (integers, floats, longs, doubles) -* Count aggregations on any document set -* Percentiles and other statistical aggregations -* Calculated values using formulas -* Time-shifted values for trend comparisons +## Requirements -If you want to show trends, you also need a date field so you can compare values across different time periods. +Metric charts work with any numeric data. That data can directly come from numeric fields in your data, or be the result of aggregations or formulas. ## Build a metric chart -Create a basic metric chart in a few steps. - -1. Open **Lens** from the navigation menu or from a dashboard. -2. Select the {{data-source}} that contains your data. -3. From the **Visualization type** dropdown, select **Metric**. -4. Drag a numeric field from the fields list to the **Metric** dimension in the layer pane. - - {{kib}} automatically selects an appropriate aggregation function like Sum, Average, or Count based on your field type. +To build a metric chart: -5. Configure the metric display options using the appearance settings in the editor toolbar. -6. Save your visualization by selecting **Save and return** to add it to a dashboard, or **Save to library** to reuse it across multiple dashboards. - -For a more advanced metric chart, you can add secondary metrics for comparisons, break down metrics by categories, or configure trend indicators to show whether your metrics are improving or declining. - -## Metric chart settings - -Customize your metric chart to display exactly the information you need, formatted the way you want. +:::::{stepper} -### Data configuration - -Define what data to display in your metric visualization. +::::{step} Access Lens +**Lens** is {{kib}}'s main visualization editor. You can access it: +- By adding a new visualization to a dashboard. To do that, go to the **Dashboards** page and open or create the dashboard where you'd like to add a metric chart. +- By creating a visualization from the **Visualize library** page. +:::: -**Primary metric** -: The main numeric value that appears prominently in your chart. This is required. You can use aggregation functions like Sum, Average, Count, Median, or create custom calculations with formulas. Select the metric dimension in the layer pane to configure the aggregation function, add filters, or adjust the display name. +::::{step} Set the visualization to Metric +New visualizations suggest to create **Bar** charts by default. -**Secondary metric** -: An optional additional value that provides context or enables comparisons. Common uses include: - * Time-shifted values to show trends (for example, last week's sales compared to this week) - * Different aggregations on the same data (for example, showing both average and median response times) - * Related metrics for context (for example, showing total count alongside an average) - - When you add a secondary metric, you can configure it to display as a [trend indicator](#trend-indicators) with colors and directional arrows. - -**Maximum** -: An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can use percent-based color coding to show how close your metric is to this target. This is useful for showing progress toward goals or capacity limits. +Using the dropdown indicating **Bar**, select **Metric**. +:::: -**Break down by** -: Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, making it easy to compare metrics across regions, products, time periods, or any other dimension. You can assign [consistent colors](lens.md#assign-colors-to-terms) to each breakdown value for better recognition across your dashboards. +::::{step} Define the data to show +1. Select the {{data-source}} that contains your data. +2. Define the **Primary metric** by dragging a field from the fields list to the chart. {{kib}} automatically selects an appropriate aggregation function like Sum, Average, or Count based on the field type. This is the only setting that your metric chart requires to display something. +3. Optionally, add a secondary metric. You can use this secondary metric as a comparison value or as a trend indicator to show how the primary metric evolves over time. -### Trend indicators -```{applies_to} -stack: ga 9.1 -serverless: ga -``` +Refer to [](#settings) to find all data configuration options for your metric chart. +:::: -When you have both primary and secondary metrics, you can add trend indicators that compare them visually. This feature helps you spot improvements or declines at a glance. +::::{step} Customize the appearance of the chart +Tweak the appearance of the chart to your needs. Consider the following best practices: -% +**Use color wisely** +: Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context: for costs, lower might be better (green), while for revenue, higher is better (green). -To configure trend indicators: +**Format for readability** +: Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. -1. Add a secondary metric to your chart. -2. Select the secondary metric dimension in the layer pane. -3. Look for the **Color by value** option and configure the following settings: +**Provide context** +: Use titles and subtitles to explain what the metric means. "45,234" is a number, but "Active Users" as a title gives it meaning, and "Last 24 hours" as a subtitle makes it unambiguous. -**Color by value** -: Controls whether and how your secondary metric displays trend indicators: - * **None**: No special formatting (default) - * **Static**: Displays the secondary metric in a colored badge with a single color you choose - * **Dynamic**: Enables trend indicators with colors and directional icons that change based on the comparison +Refer to [](#settings) for a complete list of options. +:::: -**Color palette** (when Dynamic is selected) -: Choose a palette that matches how you interpret changes: - * Green-to-red palettes work well when increases are positive - * Red-to-green palettes work well when decreases are positive - * Consider your users' expectations—green typically signals improvement while red signals issues +::::{step} Save the chart +Save your visualization by selecting **Save and return** if you're adding it from a dashboard, or **Save to library** to use it later. +:::: -**Display** (when Dynamic is selected) -: Choose what to show in the trend indicator: - * **Icon**: Shows only directional arrows: ↑ for increases, ↓ for decreases, = for no change - * **Value**: Shows only the numeric value of the secondary metric - * **Both**: Shows both the icon and value (default and most informative) +::::: -**Compare to** (when Dynamic is selected) -: Define the baseline for your comparison: - * **Static value**: Compare against a fixed number you specify. Use this when you have a specific target or threshold. - * **Primary metric**: Compare the secondary metric directly against the primary metric. When you select this option, {{kib}} automatically updates the secondary metric to show the difference, and changes its label to "Difference." You can customize this label using the **Prefix** field in the metric configuration. +## Examples -::::{tip} -Use the `shift` parameter in formulas to create time-based comparisons. For example, if your primary metric uses `count()` to show this week's orders, use `count(shift='1w')` as your secondary metric to compare against last week. -:::: +Here are common patterns you can adapt for your own data. -### Appearance options +**Executive dashboard KPI** +: Display total revenue as a prominent number on an executive dashboard: + + * **Primary metric**: `sum(sales.revenue)` + * **Value format**: Currency with 1 decimal place + * **Title**: "Total Revenue" + * **Subtitle**: "Current Quarter" + * **Color by value**: Green when above target, red when below + +**Website traffic with trend** +: Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: + + * **Primary metric**: `count()` (current week's page views) + * **Secondary metric**: `count(shift='1w')` (previous week's page views) + * **Trend indicator**: Dynamic coloring enabled + * **Compare to**: Primary metric + * **Display**: Both icon and value + * **Color palette**: Green for increases (more traffic is positive) + * **Title**: "Weekly Page Views" + +**System performance by service** +: Compare response times across multiple services using breakdown: + + * **Primary metric**: `average(response_time_ms)` + * **Break down by**: `service.name` + * **Value format**: Number with suffix "ms" + * **Title**: "Average Response Time" + * **Color mapping**: Assign consistent colors to each service name + * **Color by value**: Red above 500ms, yellow between 200-500ms, green below 200ms + +**Error rate with formula** +: Calculate and display error percentage using a formula: + + * **Primary metric formula**: `count(kql='status_code >= 400') / count() * 100` + * **Value format**: Percent with 2 decimals + * **Title**: "Error Rate" + * **Color by value**: Green below 1%, yellow between 1-5%, red above 5% + +**Capacity utilization** +: Show current usage against maximum capacity: + + * **Primary metric**: `average(system.memory.used.bytes)` + * **Maximum**: `average(system.memory.total.bytes)` + * **Value format**: Bytes + * **Title**: "Memory Usage" + * **Color by value** (Percent mode): Green 0-70%, yellow 70-90%, red above 90% + +**Multi-service comparison** +: Create a comprehensive view with multiple services side-by-side: + + * **Primary metric**: `count()` + * **Break down by**: `service.name` + * **Value format**: Number, compact values enabled + * **Title**: "Request Volume by Service" + * **Subtitle**: "Last Hour" + * **Color mapping**: Assign brand colors to each service for consistency + +## Advanced configurations + +### Show trends in Metric charts [metric-trends] ```{applies_to} -stack: ga 9.2 +stack: ga 9.1 +serverless: ga ``` -Control how your metric chart looks by selecting the {icon}`brush` **Appearance** button in the editor toolbar. - -**Primary metric** -: Customize how the main number appears: - * **Position**: Where to place the metric within its tile - * **Alignment**: Left, center, or right alignment - * **Font size**: Make the number larger for emphasis or smaller to fit more content - -**Title and subtitle** -: Add descriptive text above your metrics: - * Enter a title and optional subtitle - * Choose the **Alignment** (left, center, or right) - * Adjust the **Font weight** to make titles more or less prominent - -**Secondary metric** -: Control how the secondary value displays: - * **Alignment**: Position relative to the primary metric - -**Icon position** -: When using trend indicators with icons, choose where the icon appears relative to the metric values. - -### Value formatting - -Format your metric values so they're easy to understand at a glance. Select a metric dimension in the layer pane to access these options: +When creating **Metric** visualizations with numeric data, you can add trend indicators that compare your primary metric to a secondary value. This feature displays colored badges with directional arrows to help you quickly identify whether values are increasing, decreasing, or staying the same. -**Value format** -: Choose how numbers display: - * **Number**: Standard numeric formatting with customizable decimal places - * **Percent**: Display as a percentage (multiply by 100 and add %) - * **Bytes**: Format as file sizes (B, KB, MB, GB, TB) - * **Currency**: Display with currency symbols - * **Duration**: Show as time periods (seconds, minutes, hours) - * **Custom**: Define your own number format pattern +| Without trend | With trend | +|--------|-------| +| ![Secondary metric before comparison](../images/secondary_metric_before_compare.png "title =70%") | ![Secondary metric after comparison](../images/secondary_metric_after_compare.png "title =70%") | -**Decimals** -: Specify how many decimal places to show. Use 0 for whole numbers, or increase for more precision. +To add trend indicators to your metric visualization: -**Compact values** -: Turn this on to abbreviate large numbers. For example, 1,500,000 becomes 1.5M. +1. Create a **Metric** visualization with a numeric primary metric. +2. Add a secondary metric that represents the comparison value. -**Prefix and Suffix** -: Add text before or after the metric value for additional context. For example, add "$" as a prefix for currency, or "ms" as a suffix for milliseconds. + ::::{tip} + Use the `shift` parameter in formulas to compare current values against historical data. For example, if your primary metric is counting orders (based on an `order_id` field) for the current week, you can use the `count(order_id, shift='1w')` formula to compare this week's count of orders to last week's count. + :::: -### Color customization +3. In the secondary metric configuration, look for the **Color by value** option. The possible choices are: + * **None**: No trend indicators (default) + * **Static**: Shows the secondary metric as a badge with a single color that you select + * **Dynamic**: Enables both color coding and directional icons based on the comparison -Control the colors of your metrics to create visually meaningful dashboards. +4. Select **Dynamic** coloring. More options appear. -**Color by value** (for primary metric) -: Apply colors based on the metric's value using thresholds: - * Set threshold values that trigger color changes - * Choose colors for each threshold range - * Use this to highlight when metrics enter warning or critical ranges +5. Choose a **Color palette** that matches how you'd like to represent the comparison. -**Color mapping** (for breakdown metrics) -: When you break down metrics by a categorical field, you can assign specific colors to each category. This maintains color consistency when the same categories appear across multiple visualizations. For detailed information, refer to [Assign colors to terms](lens.md#assign-colors-to-terms). +6. Configure the **Display** option: + * **Icon**: Shows only directional arrows: ↑ for increase, ↓ for decrease, = for no change + * **Value**: Shows only the secondary metric value + * **Both**: Shows both the icon and value (default) -## Best practices +7. The secondary metric does not automatically compare with the primary metric. Define the value to **Compare to**: + * **Static value**: Compares against a fixed baseline value that you specify + * **Primary metric**: Compares the secondary metric directly against the primary metric. This option is only available when the primary metric is numeric. + + When you select this option, the secondary metric is automatically updated: -Follow these guidelines to create effective metric charts: + * The secondary metric label changes to **Difference**. You can change this by editing the **Prefix** option of the metric. + * If you chose a **Display** option that shows a value, the secondary metric value is automatically updated to show the difference compared to the primary metric. -**Keep it focused** -: Show only the most important numbers. If a value doesn't drive decisions, leave it off the dashboard. - -**Choose the right aggregation** -: Think about what the number represents. Use Sum for totals, Average for typical values, Median when outliers skew averages, and Percentiles for understanding distribution. - -**Make trends meaningful** -: When showing trends, compare similar time periods. Compare week-over-week, month-over-month, or year-over-year. Avoid comparing a Monday to a Saturday if they have different patterns. - -**Use color wisely** -: Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context—for costs, lower might be better (green), while for revenue, higher is better (green). +7. Apply your changes. -**Format for readability** -: Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. +The metric visualization is updated and now shows the secondary metric as a comparison with a trend indicator. -**Provide context** -: Use titles and subtitles to explain what the metric means. "45,234" is a number, but "Active Users" gives it meaning, and adding "Last 24 Hours" as a subtitle makes it actionable. +## Metric chart settings [settings] -**Limit breakdowns** -: When breaking down metrics, show 5-10 categories at most. More than that becomes hard to scan. Consider filtering to top values or creating a different visualization type. +Customize your metric chart to display exactly the information you need, formatted the way you want. -## Examples +### Primary metric settings [primary-metric-options] -Here are common patterns you can adapt for your own data. +**Value** +: The main numeric value that appears prominently in your chart. When you drag a field onto the chart, {{kib}} suggests a function based on the field type. You can change it and use aggregation functions like `Sum`, `Average`, `Count`, `Median`, and more, or create custom calculations with formulas. Refer to [](/explore-analyze/visualize/lens.md#lens-formulas) for examples, or to the {icon}`documentation` **Formula reference** available from Lens. -### Executive dashboard KPI +% todo: advanced options -Display total revenue as a prominent number on an executive dashboard: +**Appearance** +: Define the formatting of the primary metric, including: + - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. + - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. + - **Color by value**: Apply colors to the chart. Choose between **Static** for a unique color and **Dynamic** for using different colors based on the metric's value. By default, the color applies to the chart's background. + - **Static**: Pick a color and its opacity. That color always remains the same and is independent from the metric's value. + - **Dynamic**: Define colors to apply to the chart based on the value of the primary metric. + - **Supporting visualization**: Display a visualization as background or on the side of the metric. + - **Type**: Select **Panel** for a unified background, **Line** for showing a light line chart in the background, or **Bar** for showing a progress bar that represents the current value of the chart measured against the [Maximum value](#max-value-options) defined for the chart. + - **Apply color to**: This option is available when **Panel** is selected as supporting visualization type. Choose to apply the color defined to the background, or to the primary metric's value. + - **Icon decoration**: Add an icon to the top right corner of the chart. -* **Primary metric**: `sum(sales.revenue)` -* **Value format**: Currency with 1 decimal place -* **Title**: "Total Revenue" -* **Subtitle**: "Current Quarter" -* **Color by value**: Green when above target, red when below +### Secondary metric settings [secondary-metric-options] -### Website traffic with trend +**Value** +: An optional additional value that provides context or enables comparisons. Common uses include: + * Time-shifted values to show trends (for example, last week's sales compared to this week) + * Different aggregations on the same data (for example, showing both average and median response times) + * Related metrics for context (for example, showing total count alongside an average) -Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: +% todo: advanced options -* **Primary metric**: `count()` (current week's page views) -* **Secondary metric**: `count(shift='1w')` (previous week's page views) -* **Trend indicator**: Dynamic coloring enabled -* **Compare to**: Primary metric -* **Display**: Both icon and value -* **Color palette**: Green for increases (more traffic is positive) -* **Title**: "Weekly Page Views" +**Appearance** +: Define the formatting of the secondary metric, including: + - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. + - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. + - **Label**: Define the label displayed next to the secondary metric. By default, the **Name** shows. You can instead show a **Custom** value or hide it by selecting **None**. + - **Label position**: Choose to show the label **Before** or **After** the metric. + - **Color by value**: Apply colors to the chart. Choose between **None**, **Static** for a unique color and **Dynamic** for using different colors based on the metric's value. This option allows you to use the secondary metric as a comparison point to highlight trends. Refer to [](#metric-trends) for more details. -### System performance by service +### Maximum value settings [max-value-options] -Compare response times across multiple services using breakdown: +**Value** +: An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can show a progress bar by setting the primary metric's **Supporting visualization** option to **Bar**. This is useful for showing progress toward goals or capacity limits. -* **Primary metric**: `average(response_time_ms)` -* **Break down by**: `service.name` -* **Value format**: Number with suffix "ms" -* **Title**: "Average Response Time" -* **Color mapping**: Assign consistent colors to each service name -* **Color by value**: Red above 500ms, yellow between 200-500ms, green below 200ms +% todo: advanced options -### Error rate with formula +**Appearance** +: Define the formatting of the secondary metric, including: + - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. -Calculate and display error percentage using a formula: +### Breakdown settings [breakdown-options] -* **Primary metric formula**: `count(kql='status_code >= 400') / count() * 100` -* **Value format**: Percent with 2 decimals -* **Title**: "Error Rate" -* **Color by value**: Green below 1%, yellow between 1-5%, red above 5% +**Data** +: Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, allowing you to compare metrics across regions, products, time periods, or any other dimensions. You can assign [consistent colors](lens.md#assign-colors-to-terms) to each breakdown value for better recognition across your dashboards. -### Capacity utilization +% todo: basic and advanced options -Show current usage against maximum capacity: +**Appearance** +: Define the formatting of the secondary metric, including: + - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. + - **Layout columns**: The number of columns used to lay out the various tiles of your metric chart. -* **Primary metric**: `average(system.memory.used.bytes)` -* **Maximum**: `average(system.memory.total.bytes)` -* **Value format**: Bytes -* **Title**: "Memory Usage" -* **Color by value** (Percent mode): Green 0-70%, yellow 70-90%, red above 90% -### Multi-service comparison +### General layout settings [appearance-options] +```{applies_to} +stack: ga 9.2 +``` +When creating or editing a visualization, you can customize several appearance options. To do that, look for the {icon}`brush` icon. -Create a comprehensive view with multiple services side-by-side: +**Primary metric** +: Define the formatting of the primary metric in terms of **Position**, **Alignment**, and **Font size**. -* **Primary metric**: `count()` -* **Break down by**: `service.name` -* **Value format**: Number, compact values enabled -* **Title**: "Request Volume by Service" -* **Subtitle**: "Last Hour" -* **Color mapping**: Assign brand colors to each service for consistency +**Title and subtitle** +: Enter a subtitle and define the relevant **Alignment** and **Font weight**. -% +**Secondary metric** +: Define the **Alignment** of the secondary metric. +**Other** +: Choose the **Icon** position. \ No newline at end of file From f60dc088acaca13324a956e94ca00930b6bdde0b Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Mon, 27 Oct 2025 19:02:58 +0100 Subject: [PATCH 03/25] more data options --- explore-analyze/visualize/metric-charts.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/metric-charts.md index 441e19be41..92bc771568 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/metric-charts.md @@ -41,7 +41,10 @@ Using the dropdown indicating **Bar**, select **Metric**. ::::{step} Define the data to show 1. Select the {{data-source}} that contains your data. 2. Define the **Primary metric** by dragging a field from the fields list to the chart. {{kib}} automatically selects an appropriate aggregation function like Sum, Average, or Count based on the field type. This is the only setting that your metric chart requires to display something. -3. Optionally, add a secondary metric. You can use this secondary metric as a comparison value or as a trend indicator to show how the primary metric evolves over time. +3. Optionally: + - Add a secondary metric. You can use this secondary metric as a comparison value or as a trend indicator to show how the primary metric evolves over time. + - Specify a maximum value. + - Break down the metric into multiple tiles based on another dimension. Refer to [](#settings) to find all data configuration options for your metric chart. :::: From 9d62b82c6c013482745ae947201747d018c66ad3 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Mon, 27 Oct 2025 19:04:41 +0100 Subject: [PATCH 04/25] styling --- explore-analyze/visualize/metric-charts.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/metric-charts.md index 92bc771568..782754feb2 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/metric-charts.md @@ -179,7 +179,7 @@ To add trend indicators to your metric visualization: 7. Apply your changes. -The metric visualization is updated and now shows the secondary metric as a comparison with a trend indicator. +The metric visualization now shows the secondary metric as a comparison with a trend indicator. ## Metric chart settings [settings] @@ -201,7 +201,7 @@ Customize your metric chart to display exactly the information you need, formatt - **Dynamic**: Define colors to apply to the chart based on the value of the primary metric. - **Supporting visualization**: Display a visualization as background or on the side of the metric. - **Type**: Select **Panel** for a unified background, **Line** for showing a light line chart in the background, or **Bar** for showing a progress bar that represents the current value of the chart measured against the [Maximum value](#max-value-options) defined for the chart. - - **Apply color to**: This option is available when **Panel** is selected as supporting visualization type. Choose to apply the color defined to the background, or to the primary metric's value. + - **Apply color to**: This option is available when you have selected **Panel** as supporting visualization type. Choose to apply the color defined to the background, or to the primary metric's value. - **Icon decoration**: Add an icon to the top right corner of the chart. ### Secondary metric settings [secondary-metric-options] From 95cd17956c6310bd6668731ab6e844533355c087 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Wed, 29 Oct 2025 12:32:58 +0100 Subject: [PATCH 05/25] advanced options for main data configs --- .../lens-breakdown-advanced-settings.md | 9 +++++++++ .../_snippets/lens-value-advanced-settings.md | 9 +++++++++ explore-analyze/visualize/metric-charts.md | 19 ++++++++++++++----- 3 files changed, 32 insertions(+), 5 deletions(-) create mode 100644 explore-analyze/_snippets/lens-breakdown-advanced-settings.md create mode 100644 explore-analyze/_snippets/lens-value-advanced-settings.md diff --git a/explore-analyze/_snippets/lens-breakdown-advanced-settings.md b/explore-analyze/_snippets/lens-breakdown-advanced-settings.md new file mode 100644 index 0000000000..2614ac05d4 --- /dev/null +++ b/explore-analyze/_snippets/lens-breakdown-advanced-settings.md @@ -0,0 +1,9 @@ +:::{dropdown} Advanced settings +Several advanced options allow you to refine the behavior of the breakdown: + +- **Include documents without the selected field**: Off by default. +- **Group remaining values as "Other"**: On by default. +- **Enable accuracy mode**: This option improves results for high-cardinality data, but increases the load on the {{es}} cluster. +- **Include values**: Values from the breakdown dimension to always show a tile for. +- **Exclude values**: Values from the breakdown dimension to always exclude from the displayed tiles. +::: \ No newline at end of file diff --git a/explore-analyze/_snippets/lens-value-advanced-settings.md b/explore-analyze/_snippets/lens-value-advanced-settings.md new file mode 100644 index 0000000000..276399df6d --- /dev/null +++ b/explore-analyze/_snippets/lens-value-advanced-settings.md @@ -0,0 +1,9 @@ +:::{dropdown} Advanced settings +Depending on the data you defined, several options allow you to apply additional filtering to the data taken into account to compute the metric's value: + +- **Normalize by unit**: Normalize the metric values to show per unit of time. +- **Filter by**: Specify a query. +- **Reduced time range**: Reduce the time range specified on the dashboard's time filter by the specified duration. +- **Time shift**: Shift the time range by the specified duration. +- **Hide zero values**: Don't show values equal to zero. This option is on by default. +::: \ No newline at end of file diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/metric-charts.md index 782754feb2..93c8556f70 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/metric-charts.md @@ -190,7 +190,8 @@ Customize your metric chart to display exactly the information you need, formatt **Value** : The main numeric value that appears prominently in your chart. When you drag a field onto the chart, {{kib}} suggests a function based on the field type. You can change it and use aggregation functions like `Sum`, `Average`, `Count`, `Median`, and more, or create custom calculations with formulas. Refer to [](/explore-analyze/visualize/lens.md#lens-formulas) for examples, or to the {icon}`documentation` **Formula reference** available from Lens. -% todo: advanced options + :::{include} ../_snippets/lens-value-advanced-settings.md + ::: **Appearance** : Define the formatting of the primary metric, including: @@ -212,7 +213,8 @@ Customize your metric chart to display exactly the information you need, formatt * Different aggregations on the same data (for example, showing both average and median response times) * Related metrics for context (for example, showing total count alongside an average) -% todo: advanced options + :::{include} ../_snippets/lens-value-advanced-settings.md + ::: **Appearance** : Define the formatting of the secondary metric, including: @@ -227,7 +229,8 @@ Customize your metric chart to display exactly the information you need, formatt **Value** : An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can show a progress bar by setting the primary metric's **Supporting visualization** option to **Bar**. This is useful for showing progress toward goals or capacity limits. -% todo: advanced options + :::{include} ../_snippets/lens-value-advanced-settings.md + ::: **Appearance** : Define the formatting of the secondary metric, including: @@ -236,9 +239,15 @@ Customize your metric chart to display exactly the information you need, formatt ### Breakdown settings [breakdown-options] **Data** -: Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, allowing you to compare metrics across regions, products, time periods, or any other dimensions. You can assign [consistent colors](lens.md#assign-colors-to-terms) to each breakdown value for better recognition across your dashboards. +: Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, allowing you to compare metrics across regions, products, time periods, or any other dimensions. You can optionally specify the following options: -% todo: basic and advanced options + - **Number of values**: The number of tiles to show. If more values are available for the selected breakdown field, an additional tile named **Other** shows if the **Group remaining values as "Other"** advanced option is on. + - **Rank by**: The dimension top values are ranked by. + - **Rank direction**: The direction to use for the ranking. + - **Collapse by**: Aggregate values of the various tiles into a single number. Possible aggregation options are `None` (default), `Sum`, `Average`, `Min`, and `Max`. + + :::{include} ../_snippets/lens-breakdown-advanced-settings.md + ::: **Appearance** : Define the formatting of the secondary metric, including: From a5728fa69bb19f7f0a10105e0f82d308ba4463c7 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Wed, 29 Oct 2025 16:30:40 +0100 Subject: [PATCH 06/25] refinement and examples --- .../metric-revenue-breakdown-example.png | Bin 0 -> 201158 bytes .../images/metric-total-revenue-example.png | Bin 0 -> 132474 bytes ...ric-website-views-weekly-trend-example.png | Bin 0 -> 126372 bytes explore-analyze/visualize/metric-charts.md | 136 ++++++++---------- 4 files changed, 60 insertions(+), 76 deletions(-) create mode 100644 explore-analyze/images/metric-revenue-breakdown-example.png create mode 100644 explore-analyze/images/metric-total-revenue-example.png create mode 100644 explore-analyze/images/metric-website-views-weekly-trend-example.png diff --git 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b/explore-analyze/visualize/metric-charts.md index 93c8556f70..60316bc95e 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/metric-charts.md @@ -8,17 +8,17 @@ description: Instructions and best practices for building metric charts with Kib # Build metric charts with {{kib}} -Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs like total sales, active users, or error rates. They can show a plain number, a percentage, or a calculation like a count, sum, or average. +Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs like total sales, active users, or error rates. -Metric charts are the best visualization when you need to show a single, important value and make it visible. +They work with any numeric data: plain numbers, percentages, or calculations like a count, sum, or average. You can get this numeric data from numeric fields stored in your {{es}} documents, or from aggregation functions and formulas that you can apply to any type of field. The best way to create metric charts in {{kib}} is with **Lens**. ![Metric chart representing an SLO](../images/metric-chart.png "=30%") -## Requirements +## When to use metric charts -Metric charts work with any numeric data. That data can directly come from numeric fields in your data, or be the result of aggregations or formulas. +Metric charts are the best visualization when you need to show a single, important value and make it visible. ## Build a metric chart @@ -33,7 +33,7 @@ To build a metric chart: :::: ::::{step} Set the visualization to Metric -New visualizations suggest to create **Bar** charts by default. +New visualizations default to creating **Bar** charts. Using the dropdown indicating **Bar**, select **Metric**. :::: @@ -49,7 +49,7 @@ Using the dropdown indicating **Bar**, select **Metric**. Refer to [](#settings) to find all data configuration options for your metric chart. :::: -::::{step} Customize the appearance of the chart +::::{step} Customize the chart with best practices Tweak the appearance of the chart to your needs. Consider the following best practices: **Use color wisely** @@ -70,67 +70,6 @@ Save your visualization by selecting **Save and return** if you're adding it fro ::::: -## Examples - -Here are common patterns you can adapt for your own data. - -**Executive dashboard KPI** -: Display total revenue as a prominent number on an executive dashboard: - - * **Primary metric**: `sum(sales.revenue)` - * **Value format**: Currency with 1 decimal place - * **Title**: "Total Revenue" - * **Subtitle**: "Current Quarter" - * **Color by value**: Green when above target, red when below - -**Website traffic with trend** -: Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: - - * **Primary metric**: `count()` (current week's page views) - * **Secondary metric**: `count(shift='1w')` (previous week's page views) - * **Trend indicator**: Dynamic coloring enabled - * **Compare to**: Primary metric - * **Display**: Both icon and value - * **Color palette**: Green for increases (more traffic is positive) - * **Title**: "Weekly Page Views" - -**System performance by service** -: Compare response times across multiple services using breakdown: - - * **Primary metric**: `average(response_time_ms)` - * **Break down by**: `service.name` - * **Value format**: Number with suffix "ms" - * **Title**: "Average Response Time" - * **Color mapping**: Assign consistent colors to each service name - * **Color by value**: Red above 500ms, yellow between 200-500ms, green below 200ms - -**Error rate with formula** -: Calculate and display error percentage using a formula: - - * **Primary metric formula**: `count(kql='status_code >= 400') / count() * 100` - * **Value format**: Percent with 2 decimals - * **Title**: "Error Rate" - * **Color by value**: Green below 1%, yellow between 1-5%, red above 5% - -**Capacity utilization** -: Show current usage against maximum capacity: - - * **Primary metric**: `average(system.memory.used.bytes)` - * **Maximum**: `average(system.memory.total.bytes)` - * **Value format**: Bytes - * **Title**: "Memory Usage" - * **Color by value** (Percent mode): Green 0-70%, yellow 70-90%, red above 90% - -**Multi-service comparison** -: Create a comprehensive view with multiple services side-by-side: - - * **Primary metric**: `count()` - * **Break down by**: `service.name` - * **Value format**: Number, compact values enabled - * **Title**: "Request Volume by Service" - * **Subtitle**: "Last Hour" - * **Color mapping**: Assign brand colors to each service for consistency - ## Advanced configurations ### Show trends in Metric charts [metric-trends] @@ -177,7 +116,7 @@ To add trend indicators to your metric visualization: * The secondary metric label changes to **Difference**. You can change this by editing the **Prefix** option of the metric. * If you chose a **Display** option that shows a value, the secondary metric value is automatically updated to show the difference compared to the primary metric. -7. Apply your changes. +8. Apply your changes. The metric visualization now shows the secondary metric as a comparison with a trend indicator. @@ -195,7 +134,7 @@ Customize your metric chart to display exactly the information you need, formatt **Appearance** : Define the formatting of the primary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. + - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a readable title. - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. - **Color by value**: Apply colors to the chart. Choose between **Static** for a unique color and **Dynamic** for using different colors based on the metric's value. By default, the color applies to the chart's background. - **Static**: Pick a color and its opacity. That color always remains the same and is independent from the metric's value. @@ -218,7 +157,7 @@ Customize your metric chart to display exactly the information you need, formatt **Appearance** : Define the formatting of the secondary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. + - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a readable title. - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. - **Label**: Define the label displayed next to the secondary metric. By default, the **Name** shows. You can instead show a **Custom** value or hide it by selecting **None**. - **Label position**: Choose to show the label **Before** or **After** the metric. @@ -233,8 +172,8 @@ Customize your metric chart to display exactly the information you need, formatt ::: **Appearance** -: Define the formatting of the secondary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. +: Define the formatting of the maximum value, including: + - **Name**: It's a best practice to customize this with a readable title. ### Breakdown settings [breakdown-options] @@ -242,7 +181,7 @@ Customize your metric chart to display exactly the information you need, formatt : Split your metric into multiple tiles based on a categorical field. Each unique value creates its own tile, allowing you to compare metrics across regions, products, time periods, or any other dimensions. You can optionally specify the following options: - **Number of values**: The number of tiles to show. If more values are available for the selected breakdown field, an additional tile named **Other** shows if the **Group remaining values as "Other"** advanced option is on. - - **Rank by**: The dimension top values are ranked by. + - **Rank by**: The dimension by which top values are ranked. - **Rank direction**: The direction to use for the ranking. - **Collapse by**: Aggregate values of the various tiles into a single number. Possible aggregation options are `None` (default), `Sum`, `Average`, `Min`, and `Max`. @@ -250,8 +189,8 @@ Customize your metric chart to display exactly the information you need, formatt ::: **Appearance** -: Define the formatting of the secondary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It is a best practice to customize this with a readable title. +: Define the formatting of the broken down view of the metric, including: + - **Name**: It's a best practice to customize this with a readable title. - **Layout columns**: The number of columns used to lay out the various tiles of your metric chart. @@ -271,4 +210,49 @@ When creating or editing a visualization, you can customize several appearance o : Define the **Alignment** of the secondary metric. **Other** -: Choose the **Icon** position. \ No newline at end of file +: Choose the **Icon** position. + + +## Metric chart examples + +The following examples show various configuration options that you can use for building impactful metrics. + +**Executive dashboard KPI** +: Display total revenue as a prominent number on an executive dashboard: + + * **Title**: "Total Revenue" + * **Primary metric**: `sum(sales.revenue)` + * **Value format**: Currency with no decimal. You can use a custom format to add symbols such as `$` + * **Subtitle**: "Current Quarter" + * **Color by value**: Green when above $250,000 target, red when below + * **Supporting visualization:** "Line" to show revenue evolution throughout the quarter + + ![Metric with a total revenue below the target](../images/metric-total-revenue-example.png "=70%") + +**Website traffic with trend** +: Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: + + * **Title**: "Weekly page views" + * **Subtitle**: "This week" + * **Primary metric**: `count()` (current week's page views) + * **Secondary metric**: `count(shift='1w')` (previous week's page views) + * **Color by value**: Dynamic coloring + * **Compare to**: Primary metric + * **Display**: Both icon and value + * **Label**: "Compared to last week" + * **Color palette**: Green for increases (more traffic is positive) + + ![Metric showing weekly visits with weekly comparison trend](../images/metric-website-views-weekly-trend-example.png "=70%") + +**Sales per day of the week** +: Compare revenue across days of the week using breakdown: + + * **Title**: "Revenue per weekday" + * **Primary metric**: `sum(sales.total)` + * **Value format**: Currency with no decimal. You can use a custom format to add symbols such as `$` + * **Color by value**: Red below $30,000, yellow between $30,000-$35,000, green above $35,000 + * **Break down by**: `day_of_week` + * **Number of values**: `7` + * **Layout columns**: `4` + + ![Metric showing revenue broken down per day of the week](../images/metric-revenue-breakdown-example.png "=70%") \ No newline at end of file From f40320cd75bb409988ac76b1e187113ead8742da Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Wed, 29 Oct 2025 16:39:46 +0100 Subject: [PATCH 07/25] move chart page under Lens --- explore-analyze/toc.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/explore-analyze/toc.yml b/explore-analyze/toc.yml index e32d3c1969..947008afe0 100644 --- a/explore-analyze/toc.yml +++ b/explore-analyze/toc.yml @@ -188,7 +188,8 @@ toc: - file: visualize/visualize-library.md - file: visualize/manage-panels.md - file: visualize/lens.md - - file: visualize/metric-charts.md + children: + - file: visualize/metric-charts.md - file: visualize/esorql.md - file: visualize/custom-visualizations-with-vega.md - file: visualize/text-panels.md From 180e811c2adf4c066214fc9fc7e9df4c90773597 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Thu, 6 Nov 2025 14:34:44 +0100 Subject: [PATCH 08/25] properly organize files + minor content tweaks --- explore-analyze/toc.yml | 2 +- .../visualize/{ => charts}/metric-charts.md | 26 ++++++++----------- 2 files changed, 12 insertions(+), 16 deletions(-) rename explore-analyze/visualize/{ => charts}/metric-charts.md (92%) diff --git a/explore-analyze/toc.yml b/explore-analyze/toc.yml index 947008afe0..eaa98811cf 100644 --- a/explore-analyze/toc.yml +++ b/explore-analyze/toc.yml @@ -189,7 +189,7 @@ toc: - file: visualize/manage-panels.md - file: visualize/lens.md children: - - file: visualize/metric-charts.md + - file: visualize/charts/metric-charts.md - file: visualize/esorql.md - file: visualize/custom-visualizations-with-vega.md - file: visualize/text-panels.md diff --git a/explore-analyze/visualize/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md similarity index 92% rename from explore-analyze/visualize/metric-charts.md rename to explore-analyze/visualize/charts/metric-charts.md index 60316bc95e..d016c7b468 100644 --- a/explore-analyze/visualize/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -8,17 +8,13 @@ description: Instructions and best practices for building metric charts with Kib # Build metric charts with {{kib}} -Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs like total sales, active users, or error rates. +Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs such as error rates or SLOs for example, and for making them understandable at a glance with dynamic coloring or trend indicators. They work with any numeric data: plain numbers, percentages, or calculations like a count, sum, or average. You can get this numeric data from numeric fields stored in your {{es}} documents, or from aggregation functions and formulas that you can apply to any type of field. The best way to create metric charts in {{kib}} is with **Lens**. -![Metric chart representing an SLO](../images/metric-chart.png "=30%") - -## When to use metric charts - -Metric charts are the best visualization when you need to show a single, important value and make it visible. +![Metric chart representing an SLO](../../images/metric-chart.png "=30%") ## Build a metric chart @@ -52,7 +48,7 @@ Refer to [](#settings) to find all data configuration options for your metric ch ::::{step} Customize the chart with best practices Tweak the appearance of the chart to your needs. Consider the following best practices: -**Use color wisely** +**Use color wisely** {applies_to}`stack: preview 9.1, ga 9.3` : Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context: for costs, lower might be better (green), while for revenue, higher is better (green). **Format for readability** @@ -82,7 +78,7 @@ When creating **Metric** visualizations with numeric data, you can add trend ind | Without trend | With trend | |--------|-------| -| ![Secondary metric before comparison](../images/secondary_metric_before_compare.png "title =70%") | ![Secondary metric after comparison](../images/secondary_metric_after_compare.png "title =70%") | +| ![Secondary metric before comparison](../../images/secondary_metric_before_compare.png "title =70%") | ![Secondary metric after comparison](../../images/secondary_metric_after_compare.png "title =70%") | To add trend indicators to your metric visualization: @@ -129,7 +125,7 @@ Customize your metric chart to display exactly the information you need, formatt **Value** : The main numeric value that appears prominently in your chart. When you drag a field onto the chart, {{kib}} suggests a function based on the field type. You can change it and use aggregation functions like `Sum`, `Average`, `Count`, `Median`, and more, or create custom calculations with formulas. Refer to [](/explore-analyze/visualize/lens.md#lens-formulas) for examples, or to the {icon}`documentation` **Formula reference** available from Lens. - :::{include} ../_snippets/lens-value-advanced-settings.md + :::{include} ../../_snippets/lens-value-advanced-settings.md ::: **Appearance** @@ -152,7 +148,7 @@ Customize your metric chart to display exactly the information you need, formatt * Different aggregations on the same data (for example, showing both average and median response times) * Related metrics for context (for example, showing total count alongside an average) - :::{include} ../_snippets/lens-value-advanced-settings.md + :::{include} ../../_snippets/lens-value-advanced-settings.md ::: **Appearance** @@ -168,7 +164,7 @@ Customize your metric chart to display exactly the information you need, formatt **Value** : An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can show a progress bar by setting the primary metric's **Supporting visualization** option to **Bar**. This is useful for showing progress toward goals or capacity limits. - :::{include} ../_snippets/lens-value-advanced-settings.md + :::{include} ../../_snippets/lens-value-advanced-settings.md ::: **Appearance** @@ -185,7 +181,7 @@ Customize your metric chart to display exactly the information you need, formatt - **Rank direction**: The direction to use for the ranking. - **Collapse by**: Aggregate values of the various tiles into a single number. Possible aggregation options are `None` (default), `Sum`, `Average`, `Min`, and `Max`. - :::{include} ../_snippets/lens-breakdown-advanced-settings.md + :::{include} ../../_snippets/lens-breakdown-advanced-settings.md ::: **Appearance** @@ -227,7 +223,7 @@ The following examples show various configuration options that you can use for b * **Color by value**: Green when above $250,000 target, red when below * **Supporting visualization:** "Line" to show revenue evolution throughout the quarter - ![Metric with a total revenue below the target](../images/metric-total-revenue-example.png "=70%") + ![Metric with a total revenue below the target](../../images/metric-total-revenue-example.png "=70%") **Website traffic with trend** : Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: @@ -242,7 +238,7 @@ The following examples show various configuration options that you can use for b * **Label**: "Compared to last week" * **Color palette**: Green for increases (more traffic is positive) - ![Metric showing weekly visits with weekly comparison trend](../images/metric-website-views-weekly-trend-example.png "=70%") + ![Metric showing weekly visits with weekly comparison trend](../../images/metric-website-views-weekly-trend-example.png "=70%") **Sales per day of the week** : Compare revenue across days of the week using breakdown: @@ -255,4 +251,4 @@ The following examples show various configuration options that you can use for b * **Number of values**: `7` * **Layout columns**: `4` - ![Metric showing revenue broken down per day of the week](../images/metric-revenue-breakdown-example.png "=70%") \ No newline at end of file + ![Metric showing revenue broken down per day of the week](../../images/metric-revenue-breakdown-example.png "=70%") \ No newline at end of file From 9d00500b747ab41f2aabc0c1e816b3dfd272b53c Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Fri, 7 Nov 2025 17:16:10 +0100 Subject: [PATCH 09/25] better 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Select **Dynamic** coloring. More options appear. + ![Dynamic coloring options for secondary metrics](../../images/metric-secondary-dynamic-coloring.png "=70%") + 5. Choose a **Color palette** that matches how you'd like to represent the comparison. 6. 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Currency with no decimal. You can use a custom format to add symbols such as `$` - * **Subtitle**: "Current Quarter" - * **Color by value**: Green when above $250,000 target, red when below - * **Supporting visualization:** "Line" to show revenue evolution throughout the quarter - - ![Metric with a total revenue below the target](../../images/metric-total-revenue-example.png "=70%") +**Ratio of successful requests** +: Display the percentage of successful requests on a monitoring dashboard: + + * **Title**: "Successful requests (2xx)" + * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` + * **Value format**: `Percent` + * **Color by value**: Green when above 95%, yellow between 75% and 95%, red when below + * **Supporting visualization:** "Line" to show evolution over time + * **Secondary metric**: `0.95` formula + * **Name**: `Target:` + * **Value format**: `Percent` + + ![Metric with below target successful request percentage](../../images/metric-example-successful-requests-rate.png "=70%") **Website traffic with trend** : Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: From 56d52a6258a6a3a4d3059f801eb6263bb385ad3e Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Fri, 7 Nov 2025 19:09:20 +0100 Subject: [PATCH 12/25] replace other revenue example with more o11y oriented example for break down by option --- ...successful-requests-rate-top-countries.png | Bin 0 -> 395034 bytes .../metric-revenue-breakdown-example.png | Bin 201158 -> 0 bytes .../visualize/charts/metric-charts.md | 32 ++++++++++-------- 3 files changed, 18 insertions(+), 14 deletions(-) create mode 100644 explore-analyze/images/metric-example-successful-requests-rate-top-countries.png delete mode 100644 explore-analyze/images/metric-revenue-breakdown-example.png diff --git a/explore-analyze/images/metric-example-successful-requests-rate-top-countries.png 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(2xx)" + * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` + * **Value format**: `Percent` + * **Color by value**: Green when above 95%, yellow between 75% and 95%, red when below + * **Supporting visualization:** "Line" to show evolution over time + * **Secondary metric**: `0.95` formula + * **Name**: `Target:` + * **Value format**: `Percent` + * **Break down by**: `geo.dest` + * **Number of values**: `10` + * **Rank by**: `Custom` > `Count` > `Records` to get countries generating most requests + + ![Metric with below target successful request percentage](../../images/metric-example-successful-requests-rate-top-countries.png "=70%") + **Website traffic with trend** : Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: @@ -242,17 +259,4 @@ The following examples show various configuration options that you can use for b * **Label**: "Compared to last week" * **Color palette**: Green for increases (more traffic is positive) - ![Metric showing weekly visits with weekly comparison trend](../../images/metric-website-views-weekly-trend-example.png "=70%") - -**Sales per day of the week** -: Compare revenue across days of the week using breakdown: - - * **Title**: "Revenue per weekday" - * **Primary metric**: `sum(sales.total)` - * **Value format**: Currency with no decimal. You can use a custom format to add symbols such as `$` - * **Color by value**: Red below $30,000, yellow between $30,000-$35,000, green above $35,000 - * **Break down by**: `day_of_week` - * **Number of values**: `7` - * **Layout columns**: `4` - - ![Metric showing revenue broken down per day of the week](../../images/metric-revenue-breakdown-example.png "=70%") \ No newline at end of file + ![Metric showing weekly visits with weekly comparison trend](../../images/metric-website-views-weekly-trend-example.png "=70%") \ No newline at end of file From c3f8ad0ecacc0ed8d3111892e5b7e118c21bc3c4 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Fri, 7 Nov 2025 20:00:26 +0100 Subject: [PATCH 13/25] advanced scenario for progress bar and maximum value --- explore-analyze/images/metric-max.png | Bin 0 -> 43294 bytes .../images/metric-maximum-value.png | Bin 0 -> 126103 bytes explore-analyze/images/metric-no-max.png | Bin 0 -> 42398 bytes .../visualize/charts/metric-charts.md | 33 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representing an SLO](../../images/metric-chart.png "=30%") +![Metric chart representing an SLO with different layouts](../../images/metric-chart.png) ## Build a metric chart @@ -48,7 +48,7 @@ Refer to [](#settings) to find all data configuration options for your metric ch ::::{step} Customize the chart with best practices Tweak the appearance of the chart to your needs. Consider the following best practices: -**Use color wisely** {applies_to}`stack: preview 9.1, ga 9.3` +**Use color wisely** : Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context: for costs, lower might be better (green), while for revenue, higher is better (green). **Format for readability** @@ -111,7 +111,7 @@ To add trend indicators to your metric visualization: When you select this option, the secondary metric is automatically updated: - * The secondary metric label changes to **Difference**. You can change this by editing the **Prefix** option of the metric. + * The secondary metric label changes to **Difference**. You can edit this label. * If you chose a **Display** option that shows a value, the secondary metric value is automatically updated to show the difference compared to the primary metric. 8. Apply your changes. @@ -252,11 +252,11 @@ The following examples show various configuration options that you can use for b * **Title**: "Successful requests (2xx)" * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` * **Value format**: `Percent` - * **Color by value**: Green when above 95%, yellow between 75% and 95%, red when below + * **Color by value**: `Dynamic`. Green when above 95%, yellow between 75% and 95%, red when below * **Supporting visualization:** "Line" to show evolution over time * **Secondary metric**: `0.95` formula - * **Name**: `Target:` * **Value format**: `Percent` + * **Label**: Custom, set to `Target:` ![Metric with below target successful request percentage](../../images/metric-example-successful-requests-rate.png "=70%") @@ -266,7 +266,7 @@ The following examples show various configuration options that you can use for b * **Title**: "Successful requests (2xx)" * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` * **Value format**: `Percent` - * **Color by value**: Green when above 95%, yellow between 75% and 95%, red when below + * **Color by value**: `Dynamic`. Green when above 95%, yellow between 75% and 95%, red when below * **Supporting visualization:** "Line" to show evolution over time * **Secondary metric**: `0.95` formula * **Name**: `Target:` @@ -281,13 +281,12 @@ The following examples show various configuration options that you can use for b : Monitor current traffic and show whether it's increasing or decreasing compared to the previous period: * **Title**: "Weekly page views" - * **Subtitle**: "This week" * **Primary metric**: `count()` (current week's page views) * **Secondary metric**: `count(shift='1w')` (previous week's page views) * **Color by value**: Dynamic coloring * **Compare to**: Primary metric * **Display**: Both icon and value - * **Label**: "Compared to last week" + * **Label**: "Compared to previous week" * **Color palette**: Green for increases (more traffic is positive) ![Metric showing weekly visits with weekly comparison trend](../../images/metric-website-views-weekly-trend-example.png "=70%") \ No newline at end of file From 5e844f25ad1a7dfb61926fa44d8d66db7c0c3453 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Wed, 12 Nov 2025 11:25:57 +0100 Subject: [PATCH 15/25] hide page from toc for now --- explore-analyze/toc.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/toc.yml b/explore-analyze/toc.yml index d35aaf6579..ffbbbaa120 100644 --- a/explore-analyze/toc.yml +++ b/explore-analyze/toc.yml @@ -203,7 +203,7 @@ toc: - file: visualize/manage-panels.md - file: visualize/lens.md children: - - file: visualize/charts/metric-charts.md + - hidden: visualize/charts/metric-charts.md - file: visualize/esorql.md - file: visualize/custom-visualizations-with-vega.md - file: visualize/text-panels.md From 9dd35c4bafb79f12e84f2ae78c9b68ca287b623a Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Tue, 18 Nov 2025 15:31:23 +0100 Subject: [PATCH 16/25] take Marco's feedback into account --- .../visualize/charts/metric-charts.md | 20 ++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index be53c8c73f..0f60f3b1e7 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -10,9 +10,11 @@ description: Instructions and best practices for building metric charts with Kib Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs such as error rates or SLOs for example, and for making them understandable at a glance with dynamic coloring or trend indicators. -They work with any numeric data: plain numbers, percentages, or calculations like a count, sum, or average. You can get this numeric data from numeric fields stored in your {{es}} documents, or from aggregation functions and formulas that you can apply to any type of field. +They work with any numeric data: plain numbers, percentages, or calculations like a count, sum, or average. You can get this numeric data from numeric fields stored in your {{es}} documents, or from aggregation functions and formulas that you can apply to any type of field.
      +You can also display strings by using the `Last value` aggregation function that picks up the last document, sorted by timestamp, in the current tine frame. -The best way to create metric charts in {{kib}} is with **Lens**. + +To create metric charts in {{kib}}, you must use **Lens**. ![Metric chart representing an SLO with different layouts](../../images/metric-chart.png) @@ -38,9 +40,9 @@ Using the dropdown indicating **Bar**, select **Metric**. 1. Select the {{data-source}} that contains your data. 2. Define the **Primary metric** by dragging a field from the fields list to the chart. {{kib}} automatically selects an appropriate aggregation function like Sum, Average, or Count based on the field type. This is the only setting that your metric chart requires to display something. 3. Optionally: - - Add a secondary metric. You can use this secondary metric as a comparison value or as a trend indicator to show how the primary metric evolves over time. - - Specify a maximum value. - - Break down the metric into multiple tiles based on another dimension. + - Add a [secondary metric](#secondary-metric-options). You can use this secondary metric as a comparison value or as a trend indicator to show how the primary metric evolves over time. + - Specify a [maximum value](#max-value-options). + - [Break down](#breakdown-options) the metric into multiple tiles based on another dimension. Refer to [](#settings) to find all data configuration options for your metric chart. :::: @@ -49,7 +51,7 @@ Refer to [](#settings) to find all data configuration options for your metric ch Tweak the appearance of the chart to your needs. Consider the following best practices: **Use color wisely** -: Assign colors that match your users' expectations. Red typically means problems, yellow means caution, and green means good. But consider your specific context: for costs, lower might be better (green), while for revenue, higher is better (green). +: Assign colors that match your users' expectations and consider your specific context: for costs, lower might be better, while for revenue, higher is better. **Format for readability** : Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. @@ -91,7 +93,7 @@ To add trend indicators to your metric visualization: 3. In the secondary metric configuration, look for the **Color by value** option. The possible choices are: * **None**: No trend indicators (default) - * **Static**: Shows the secondary metric as a badge with a single color that you select + * **Static**: Shows the secondary metric as a badge with a fixed color that you select * **Dynamic**: Enables both color coding and directional icons based on the comparison 4. Select **Dynamic** coloring. More options appear. @@ -107,7 +109,7 @@ To add trend indicators to your metric visualization: 7. The secondary metric does not automatically compare with the primary metric. Define the value to **Compare to**: * **Static value**: Compares against a fixed baseline value that you specify - * **Primary metric**: Compares the secondary metric directly against the primary metric. This option is only available when the primary metric is numeric. + * **Primary metric**: Compares the secondary metric directly against the primary metric by displaying the result of `Primary metric - Secondary metric`. This option is only available when the primary metric is numeric. When you select this option, the secondary metric is automatically updated: @@ -264,7 +266,7 @@ The following examples show various configuration options that you can use for b : This example builds on the previous one to display the percentage of successful requests for the 10 countries with the most incoming requests on a monitoring dashboard: * **Title**: "Successful requests (2xx)" - * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` + * **Primary metric**: `count(kql='response.code >= 200 and response.code < 300') / count(response.code)` * **Value format**: `Percent` * **Color by value**: `Dynamic`. Green when above 95%, yellow between 75% and 95%, red when below * **Supporting visualization:** "Line" to show evolution over time From 4cc19482c29c3b2c0894b43276bac5eb923b5403 Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 09:42:28 +0100 Subject: [PATCH 17/25] Update explore-analyze/visualize/charts/metric-charts.md Co-authored-by: Nastasha Solomon <79124755+nastasha-solomon@users.noreply.github.com> --- explore-analyze/visualize/charts/metric-charts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index 0f60f3b1e7..f6661051cb 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -14,7 +14,7 @@ They work with any numeric data: plain numbers, percentages, or calculations lik You can also display strings by using the `Last value` aggregation function that picks up the last document, sorted by timestamp, in the current tine frame. -To create metric charts in {{kib}}, you must use **Lens**. +To create metric charts in {{kib}}, you must use [**Lens**](../lens.md) ![Metric chart representing an SLO with different layouts](../../images/metric-chart.png) From b67cbe54efff17c96476adaeea50de7db34b7c26 Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 09:59:48 +0100 Subject: [PATCH 18/25] Apply suggestions from code review Co-authored-by: Brandon Morelli Co-authored-by: Nastasha Solomon <79124755+nastasha-solomon@users.noreply.github.com> --- .../visualize/charts/metric-charts.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index f6661051cb..41edaf1b22 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -8,10 +8,10 @@ description: Instructions and best practices for building metric charts with Kib # Build metric charts with {{kib}} -Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs such as error rates or SLOs for example, and for making them understandable at a glance with dynamic coloring or trend indicators. +Metric charts make important single values stand out on a dashboard. They're perfect for highlighting KPIs such as error rates or SLOs, and for making them understandable at a glance with dynamic coloring or trend indicators. They work with any numeric data: plain numbers, percentages, or calculations like a count, sum, or average. You can get this numeric data from numeric fields stored in your {{es}} documents, or from aggregation functions and formulas that you can apply to any type of field.
      -You can also display strings by using the `Last value` aggregation function that picks up the last document, sorted by timestamp, in the current tine frame. +You can also display strings by using the `Last value` aggregation function that picks up the last document, sorted by timestamp, in the current time frame. To create metric charts in {{kib}}, you must use [**Lens**](../lens.md) @@ -47,7 +47,7 @@ Using the dropdown indicating **Bar**, select **Metric**. Refer to [](#settings) to find all data configuration options for your metric chart. :::: -::::{step} Customize the chart with best practices +::::{step} Customize the chart to follow best practices Tweak the appearance of the chart to your needs. Consider the following best practices: **Use color wisely** @@ -57,7 +57,7 @@ Tweak the appearance of the chart to your needs. Consider the following best pra : Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. **Provide context** -: Use titles and subtitles to explain what the metric means. "45,234" is a number, but "Active Users" as a title gives it meaning, and "Last 24 hours" as a subtitle makes it unambiguous. +: Use titles and subtitles to explain what the metric shows. "45,234" is a number, but "Active Users" as a title gives it meaning, and "Last 24 hours" as a subtitle makes it unambiguous. Refer to [](#settings) for a complete list of options. :::: @@ -107,7 +107,7 @@ To add trend indicators to your metric visualization: * **Value**: Shows only the secondary metric value * **Both**: Shows both the icon and value (default) -7. The secondary metric does not automatically compare with the primary metric. Define the value to **Compare to**: +7. The secondary metric does not automatically compare with the primary metric. Define the value for **Compare to**: * **Static value**: Compares against a fixed baseline value that you specify * **Primary metric**: Compares the secondary metric directly against the primary metric by displaying the result of `Primary metric - Secondary metric`. This option is only available when the primary metric is numeric. @@ -165,7 +165,7 @@ Customize your metric chart to display exactly the information you need, formatt **Appearance** : Define the formatting of the primary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a readable title. + - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a meaningful title. - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. - **Color by value**: Apply colors to the chart. Choose between **Static** for a unique color and **Dynamic** for using different colors based on the metric's value. By default, the color applies to the chart's background. - **Static**: Pick a color and its opacity. That color always remains the same and is independent from the metric's value. @@ -188,7 +188,7 @@ Customize your metric chart to display exactly the information you need, formatt **Appearance** : Define the formatting of the secondary metric, including: - - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a readable title. + - **Name**: By default, the chart uses the function or formula as title. It's a best practice to customize this with a meaningful title. - **Value format**: Choose to display the metric as number, percent, bytes, bits, duration, or with a custom format that you can define. - **Label**: Define the label displayed next to the secondary metric. By default, the **Name** shows. You can instead show a **Custom** value or hide it by selecting **None**. - **Label position**: Choose to show the label **Before** or **After** the metric. @@ -221,7 +221,7 @@ Customize your metric chart to display exactly the information you need, formatt **Appearance** : Define the formatting of the broken down view of the metric, including: - - **Name**: It's a best practice to customize this with a readable title. + - **Name**: It's a best practice to customize this with a meaningful title. - **Layout columns**: The number of columns used to lay out the various tiles of your metric chart. @@ -254,7 +254,7 @@ The following examples show various configuration options that you can use for b * **Title**: "Successful requests (2xx)" * **Primary metric**: `count(kql='response.code >= "200" and response.code < "300"') / count(response.code)` * **Value format**: `Percent` - * **Color by value**: `Dynamic`. Green when above 95%, yellow between 75% and 95%, red when below + * **Color by value**: `Dynamic` (green when above 95%, yellow between 75% and 95%, red when below) * **Supporting visualization:** "Line" to show evolution over time * **Secondary metric**: `0.95` formula * **Value format**: `Percent` From 2102876f3c65e7bf615b08322a9d606b7129f6a7 Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:02:11 +0100 Subject: [PATCH 19/25] Update explore-analyze/_snippets/lens-value-advanced-settings.md --- explore-analyze/_snippets/lens-value-advanced-settings.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/_snippets/lens-value-advanced-settings.md b/explore-analyze/_snippets/lens-value-advanced-settings.md index 276399df6d..6fe4dfaa76 100644 --- a/explore-analyze/_snippets/lens-value-advanced-settings.md +++ b/explore-analyze/_snippets/lens-value-advanced-settings.md @@ -4,6 +4,6 @@ Depending on the data you defined, several options allow you to apply additional - **Normalize by unit**: Normalize the metric values to show per unit of time. - **Filter by**: Specify a query. - **Reduced time range**: Reduce the time range specified on the dashboard's time filter by the specified duration. -- **Time shift**: Shift the time range by the specified duration. +- **Time shift**: Shift the time range by the specified duration. This is useful if the value should use a different time range than the one selected on the dashboard. - **Hide zero values**: Don't show values equal to zero. This option is on by default. ::: \ No newline at end of file From 9f9c7ea0ae238e1b7c4e95c6cc446128f84ed593 Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:07:43 +0100 Subject: [PATCH 20/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index 41edaf1b22..954d07b6a5 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -26,8 +26,8 @@ To build a metric chart: ::::{step} Access Lens **Lens** is {{kib}}'s main visualization editor. You can access it: -- By adding a new visualization to a dashboard. To do that, go to the **Dashboards** page and open or create the dashboard where you'd like to add a metric chart. -- By creating a visualization from the **Visualize library** page. +- From a dashboard: On the **Dashboards** page, open or create the dashboard where you want to add a metric chart, then add a new visualization. +- From the **Visualize library** page by creating a new visualization.. :::: ::::{step} Set the visualization to Metric From 1cec9212c4922a8adfb146e42241ab4b9efdaa3e Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:09:31 +0100 Subject: [PATCH 21/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index 954d07b6a5..cf2c45cee5 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -54,7 +54,7 @@ Tweak the appearance of the chart to your needs. Consider the following best pra : Assign colors that match your users' expectations and consider your specific context: for costs, lower might be better, while for revenue, higher is better. **Format for readability** -: Round to appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics. But show more precision when small changes matter. +: Round to an appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics, but use more precision when small changes matter. **Provide context** : Use titles and subtitles to explain what the metric shows. "45,234" is a number, but "Active Users" as a title gives it meaning, and "Last 24 hours" as a subtitle makes it unambiguous. From b1b0d66bb0314c4ec45ab8c7a1deb27fcf88d465 Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:13:15 +0100 Subject: [PATCH 22/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index cf2c45cee5..73f0caad8a 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -51,7 +51,7 @@ Refer to [](#settings) to find all data configuration options for your metric ch Tweak the appearance of the chart to your needs. Consider the following best practices: **Use color wisely** -: Assign colors that match your users' expectations and consider your specific context: for costs, lower might be better, while for revenue, higher is better. +: Assign colors that match your users' expectations and consider your specific context. **Format for readability** : Round to an appropriate precision. Showing 1.2M is clearer than 1,234,567.89 for high-level metrics, but use more precision when small changes matter. From bc23ebcd8f97b9dad0cbf084ee407b65a7f79a9a Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:31:18 +0100 Subject: [PATCH 23/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index 73f0caad8a..c2c68d4a08 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -63,7 +63,8 @@ Refer to [](#settings) for a complete list of options. :::: ::::{step} Save the chart -Save your visualization by selecting **Save and return** if you're adding it from a dashboard, or **Save to library** to use it later. +- If you accessed Lens from a dashboard, select **Save and return** to save the visualization and add it to that dashboard, or select **Save to library** to add the visualization to the Visualize library and be able to add it to other dashboards later. +- If you accessed Lens from the Visualize library, select **Save**. A menu opens and offers you to add the visualization to a dashboard and to the Visualize library. :::: ::::: From fade68f66d904e9a343fd43860e8050f7686835b Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 10:50:12 +0100 Subject: [PATCH 24/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index c2c68d4a08..f685898922 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -198,7 +198,11 @@ Customize your metric chart to display exactly the information you need, formatt ### Maximum value settings [max-value-options] **Value** -: An optional reference value that defines the upper bound for your metric. When you specify a maximum, you can show a progress bar by setting the primary metric's **Supporting visualization** option to **Bar**. This is useful for showing progress toward goals or capacity limits. +: An optional reference value that defines the upper bound for your metric. Specifying a maximum lets you show a progress bar in your metric chart. The progress is represented by your primary metric's value on a scale of 0 to the defined maximum value. This option is useful for showing progress toward goals or capacity limits. + + :::{note} + If a progress bar doesn't show after setting a maximum value, manually set the primary metric's **Supporting visualization** option to **Bar**. + ::: :::{include} ../../_snippets/lens-value-advanced-settings.md ::: From 2a5a69209b11bc70c245abeb30e006ef066b570e Mon Sep 17 00:00:00 2001 From: florent-leborgne Date: Wed, 19 Nov 2025 13:39:43 +0100 Subject: [PATCH 25/25] Update explore-analyze/visualize/charts/metric-charts.md --- explore-analyze/visualize/charts/metric-charts.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/explore-analyze/visualize/charts/metric-charts.md b/explore-analyze/visualize/charts/metric-charts.md index f685898922..d61752143c 100644 --- a/explore-analyze/visualize/charts/metric-charts.md +++ b/explore-analyze/visualize/charts/metric-charts.md @@ -14,7 +14,7 @@ They work with any numeric data: plain numbers, percentages, or calculations lik You can also display strings by using the `Last value` aggregation function that picks up the last document, sorted by timestamp, in the current time frame. -To create metric charts in {{kib}}, you must use [**Lens**](../lens.md) +You can create metric charts in {{kib}} using [**Lens**](../lens.md). ![Metric chart representing an SLO with different layouts](../../images/metric-chart.png)

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