From c4236ce1e2af474ac3f60408efdd2890ee4846d6 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Tue, 16 Dec 2025 14:23:59 +0000 Subject: [PATCH 1/3] Update references/chart-types.mdx Co-Authored-By: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- references/chart-types.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/references/chart-types.mdx b/references/chart-types.mdx index b51afea2..02668bec 100644 --- a/references/chart-types.mdx +++ b/references/chart-types.mdx @@ -17,6 +17,7 @@ In Lightdash, the data in your results tables can be visualized in a bunch of di - [Table](#table) - [Big value](#big-value) - [Gauge](#gauge) +- [Map](#map) - [Custom chart](/references/custom-charts) The visualization type that you pick determines how Lightdash shows the data series in your chart. To change how your data is displayed, click **Configure** when you're querying from a table. You have the option to change the chart type in the drop-down: From 1b32aefe7070c4d944aadc180d9ad085df8a6836 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Tue, 16 Dec 2025 14:24:14 +0000 Subject: [PATCH 2/3] Update references/chart-types.mdx Co-Authored-By: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- references/chart-types.mdx | 58 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/references/chart-types.mdx b/references/chart-types.mdx index 02668bec..c881a500 100644 --- a/references/chart-types.mdx +++ b/references/chart-types.mdx @@ -414,6 +414,64 @@ To use color ranges for your rules, select **Range** under **Conditional Formatt The color range will use a set of 5 colors mapped across the min and max colors selected in your rule. +### Map + +Maps display geographic data on an interactive map. They support three visualization modes: + +**Map types:** + +- **Scatter** - Plot individual points using latitude/longitude coordinates +- **Heatmap** - Show density of points as a heat overlay +- **Area (Choropleth)** - Color regions based on values + +Maps are useful when: + +- Visualizing geographic distribution of data +- Showing regional performance or metrics +- Displaying location-based patterns + +#### Layout options + +**Map type** - Choose between Scatter, Heatmap, or Area modes. + +**For Scatter/Heatmap:** + +- **Latitude field** - Field containing latitude coordinates +- **Longitude field** - Field containing longitude coordinates + +**For Area (Choropleth):** + +- **Map region** - World, Europe, US, or Custom +- **Custom region** - Toggle to use a custom GeoJSON URL +- **Region field** - Field containing region names to match + +**Value field** (optional) - Metric to determine color intensity. + +#### Display options + +**Color range:** + +- Configure gradient colors (2-5 colors) +- Low to high color mapping + +**Legend:** + +- Show/hide legend + +**Background map:** + +- None, Light, OpenStreetMap, Dark, Satellite +- Custom background color (when None selected) + +**Bubbles (Scatter mode only):** + +- Size based on field (optional) +- Size range slider (min/max bubble size) + +**Map extent:** + +- Save current map extent - Preserves zoom/pan position + ### Big value From 18f3f69af3ebb86fe3504bf7054ce567b86cc3a0 Mon Sep 17 00:00:00 2001 From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com> Date: Tue, 16 Dec 2025 18:05:23 +0000 Subject: [PATCH 3/3] Update references/chart-types.mdx Co-Authored-By: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com> --- references/chart-types.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/references/chart-types.mdx b/references/chart-types.mdx index c881a500..517d33e3 100644 --- a/references/chart-types.mdx +++ b/references/chart-types.mdx @@ -414,7 +414,7 @@ To use color ranges for your rules, select **Range** under **Conditional Formatt The color range will use a set of 5 colors mapped across the min and max colors selected in your rule. -### Map +### Map (Beta) Maps display geographic data on an interactive map. They support three visualization modes: