Sample Dataset Gallery
Free, ready-to-use CSV datasets — the same ones we chart in our Dataset de jour series. Download one, drop it into Power BI, and point LLM AI Charts at it to see what plain-English prompts can do.
Fitness Tracker — Daily Steps, Sleep & Heart Rate
Daily wearable-device activity for a cohort of users: step counts, calories burned, average heart rate and sleep hours, with weekday and per-user grain. A rich mix of a date, a category (user), and several measures — good for time-series, per-category comparison, and tabular scorecards.
Airline Flight Delays
Flight-level delay minutes by origin, destination and airline, plus distance, departure hour and a cancelled flag. Route-and-carrier structure that suits flow/network views, delay heatmaps, and hour-of-day distributions.
Business Locations Directory
A multi-national retail chain's store directory — one row per location with a full mailing address (address line, city, state/province, country, postal code) plus sales region, store format, annual revenue, headcount, floor area and an opened date. Real, coherent geography across 30 cities and 11 countries — built for maps, revenue-by-country/region rollups, store-format breakdowns, and address-level tables.
City 311 Service Complaints
Municipal 311 service requests by complaint type and neighborhood, with days-to-resolve, resolution cost, priority and a same-week-resolved flag. Categorical-heavy with an ordinal priority — a natural fit for ranked bars, heatmaps, and resolution-rate breakdowns.
Consulting Engagement Billings
Six years of individual consulting billing events — a plain date column (sparse, business days with gaps), a two-level Practice → Service Line hierarchy, and a billing amount per engagement. One practice launches mid-series and another spikes every Q4, so time-grain choices matter: raw dates demand aggregation to weeks, months or quarters before charting. Built for date-bucketing exercises: animated treemaps, calendar heatmaps, small multiples and seasonal breakdowns.
COVID Cases & Hospitalizations by State
Daily new COVID cases and hospitalizations by U.S. state. A date + geographic category + two measures across many states — a classic small-multiple time series and state-comparison set.
Daily Stock Prices (OHLCV)
Daily open/high/low/close and volume for multiple tickers. Textbook OHLCV time series — for candlestick and line charts, volume overlays, and multi-ticker comparison.
Divisional Revenue by Year
Twelve years of revenue for four divisions, each split into four product categories — a 2-level hierarchy observed annually, with realistic growth, decline and shock patterns (a digital boom, a 2020 retail slump, print's slow fade). Built for hierarchy-over-time views: animated treemaps, streamgraphs, stacked areas and bump charts.
Earthquake Locations & Magnitude
Point events with latitude, longitude, magnitude and depth. A compact lat/long + measure set for map scatter, magnitude-vs-depth relationships, and density views.
Global Revenue Expansion — 20 Years of Country Rollout
Twenty years (2006–2025) of revenue and customer counts for a company opening one market at a time: the United States alone for two years, then Canada, then Mexico / the UK / Japan, then western and northern Europe, then the rest of Asia and Australia, and finally New Zealand and three African markets — 1 country on the map in 2006, 35 by 2022. Countries contribute no rows at all before they open, and each one starts small and compounds from its own entry year, so an animated choropleth genuinely fills in over time rather than just changing shade. Country names and ISO-3 codes both resolve; grain is Year × Country × product line with revenue and customer count, left unaggregated so the engine picks the summarization.
Household Expense Breakdown
Monthly household spend by category. A clean date + category + measure triple — the simplest starting shape for stacked area, part-of-whole, and category trend charts.
Loan Default Predictors
Loan records with credit score, annual income, debt-to-income, purpose, amount and an outcome (defaulted) flag. Several continuous measures plus a binary target — ideal for scatter/bubble, distribution, and default-rate-by-segment analysis.
NBA Player Season Stats
Per-player season averages — points, rebounds, assists, field-goal and three-point percentages, with team, position and age. A wide sports stat line for player comparison, position breakdowns, and shooting-efficiency scatter. Pairs with the NBA Shot Locations dataset.
NBA Shot Locations
Individual basketball shot attempts with court X/Y coordinates, made/missed outcome, quarter and team. Point data with a spatial x/y and a binary outcome — ideal for shot-chart scatter, hexbin density, and make-rate-by-zone heatmaps.
North America City Metrics — 21 Cities with Coordinates
Twenty-one cities spanning the United States, Canada, Mexico and Central America — deliberately wider than the lower 48, so a North America basemap actually earns its shape. Each row carries explicit latitude/longitude (the one gallery sample with raw coordinates rather than resolvable names), a sales segment, population and revenue. Population against revenue is the interesting pair: size bubbles by one, colour by the other, or derive revenue-per-capita and see which small markets punch above their weight. This is the dataset behind the article's North America bubble map — and its star-marker variant.
Ocean Shipping Container Manifest
Container-level ocean freight bookings — revenue, weight, sail/arrival dates, voyage, vessel, load and discharge ports, carrier, commodity, customer tier and status. Very wide, high-volume logistics data for lane/route maps, on-time analysis, and revenue-by-lane breakdowns.
Patient Vital Signs
Per-visit clinical vitals — temperature, systolic/diastolic blood pressure, heart rate and oxygen saturation, keyed by patient and visit. Wide, multi-measure health data for per-patient trends, distribution/box plots, and vitals correlation.
Real Estate Listings
Property listings by neighborhood and type — square footage, bedrooms, bathrooms, age and list price. A wide mix of categoricals and measures — good for price-vs-size scatter, price-by-neighborhood, and bed/bath breakdowns.
Restaurant Orders & Tips
Individual restaurant orders by date, weekday, party size and meal period, with subtotal, tip percent and tip amount. High row count with a date and several measures — good for tip-rate trends, weekday/meal-period seasonality, and party-size effects.
Retail Store Daily Sales (2 Years)
Two years of daily store sales by region, store and channel — units sold, revenue and returns. A large date + multi-category + measures set — great for trend lines, region/channel breakdowns, and return-rate analysis.
Ride-Hailing Demand by Hour
Hourly ride demand by neighborhood — rides requested vs completed, with weekday and hour-of-day. A date/time + category + paired measures — good for demand heatmaps, fulfillment-rate trends, and peak-hour analysis.
Solar Panel Energy Output
Daily per-panel solar generation — energy produced, peak sun hours and temperature. A date + panel id + measures — ideal for output trends, sun-hours-vs-energy relationships, and per-panel comparison.
U.S. Orders by ZIP Code
Ten thousand order rows keyed by 5-digit U.S. ZIP, with city, state, sales channel, order count and revenue. The 8,354 distinct ZIPs roll up to 853 ZIP-3 prefixes across all 51 state codes — enough coverage to actually fill a USA-by-ZIP-3 choropleth rather than leave it mostly blank. Three separate place columns (ZIP, city, state) and two measures make it the one sample that drives every U.S. map type: a ZIP-3 choropleth, a by-state choropleth, and a North America bubble map with orders sizing the bubbles and revenue colouring them. ZIPs keep their leading zeros here; if your import strips them (Excel and Power BI both will, given the chance), the visual pads them back rather than misplacing the 0xxxx block.
Urban Air-Quality Monitoring
Daily pollutant concentrations across several cities with an AQI category label. A date + two categoricals (city, pollutant) + a measure — built for small-multiple time series, city comparisons, and category-banded trends.
Wine Chemistry & Ratings
Physicochemical wine attributes — alcohol, acidity, residual sugar, sulfates, pH, tannins and density — with variety, region and a quality rating. A very wide numeric feature set for correlation heatmaps, scatter matrices, and rating-driver analysis.
World City Sales — 117 Cities Across 55 Countries
One row per city — 117 of them across 55 countries, each with its country name AND ISO-2 code, world region, a city tier (Capital / Primary / Secondary), order count, revenue, and average order value. The city names alone resolve to real coordinates — no latitude/longitude columns anywhere — which is exactly the lookup a world bubble map needs, and the country columns roll the same rows up into a world choropleth. Orders and revenue give the bubbles independent size and colour; AvgOrderValue is a per-row rate, so treat it as an average, not a sum.