
Dive Gallery
Explore interactive data apps built with MotherDuck Dives. Get inspired, learn from the community, and share your own.

KPI Dashboard using Tableau Superstore Data
Royal Blue Analytics branded Superstore KPI dashboard with 5 KPI cards, sales per customer gauge, regional sales area chart, state-wise Voronoi treemap, order distribution bars and chord diagram, customer segmentation radar with RFM scores, and sub-category analysis with multi-line chart.

Night Sky Atlas
Interactive star map showing the visible night sky from 54 cities worldwide. Uses ESA Gaia DR3 data with real-time stereographic projection, constellation overlays, draggable Earth globe, and yearly timeline animation.

Dive into Pivoting!
Interactive pivot table experience. Browse databases/schemas/tables, drag columns into Filters, Columns, Rows, and Values quadrants to dynamically build pivot queries using the pivot_table_functions database (build_column_names and pivot_table). Requires the pivot_table_functions shared database to be attached.

Financial Reporting Briefing Book
Financial briefing book (Income Statement, Balance Sheet, Cash Flow, Equity) for Dow Jones companies, powered by Yahoo Finance data and build with Claude.

NBA Game Quality Explorer — 2025-26
Interactive NBA Game Quality explorer with Datadog-style key:value filter bar (Tab autocomplete, auto-close quotes, IN lists with bracket syntax, numeric comparisons, date part filters), edit/SQL toggle, 20x20 heatmap with contour edges and anchored axes, clickable axis label dropdowns, GQ box plot with player tick marks, orange dot overlay via player filter or dots:true directive, heatmap:true to apply filters to heatmap, sortable paginated table with click-to-filter rows.

Queens Puzzle
LinkedIn-style Queens puzzle game with 4 difficulty levels, drag-to-mark, smart coaching hints, and unlimited replay

Best Practices for Dives
A ~20-minute customer training, delivered as a Dive. The slide deck you're watching is the demo — React running in your browser, querying MotherDuck. The thesis: AI dashboards aren't the shift. The shift is that the data engineering work you already know how to do — clean schemas, views, macros, COMMENT ON for the confusing stuff — is what makes agents accurate. We ran DABstep on 352 hard payment-processing questions. Same model. Same prompt. Just the tables: ~30%. Add column comments: +0.3pp. Add views: 86.6%. Add macros: 93.2%. We didn't make the AI smarter. We made the data better. Two threads: it's just code (read it, edit it, version it), and the data layer is the leverage point.

This Is a Talk About SQL... and AI (Data Engineer Things remix)
Remix of Jacob Matson's DABstep talk for the Data Engineer Things meetup.

Global Earthquake Explorer
Interactive globe and flat-map visualization of 28,579 USGS seismic events (Mar 2025–Mar 2026). Three tabs: draggable orthographic globe with zoom, Natural Earth flat map with zoom and pan, and continent dashboard with 7 KPIs and 6 charts. Sequential pulse animation, client-side filters, hover tooltips, and high-res land polygons from land_geojson. Dashboard aggregations run client-side for instant continent tab switching.