StratumStores dataset
A small store dimension table — the lookup side of a key-based join with the Retail Sales orders.
↓ Download stores.csv All datasets
At a glance
- Rows
- 20 stores
- Columns
- 7 (2 numeric, 4 categorical/ID, 1 year)
- Format
- CSV (UTF-8, comma-delimited, header row)
- Size
- ~1 KB
- License
- CC0 1.0 — public domain, synthetic data
- Best for
- Joins / merge keys · lookup dimension
Columns
| Column | Type | Description |
|---|---|---|
StoreID | ID | Store key — joins to Retail Sales. |
StoreName | Categorical | Display name. |
Region | Categorical | West/Central/East etc. |
City | Categorical | City. |
StoreType | Categorical | Outlet/Standard/Flagship etc. |
SqFt | Integer | Store floor area. |
OpenedYear | Integer | Year the store opened. |
Things to try
- Use it as a lookup table. Run a Merge/join with Retail Sales on
StoreID. → Reshaping data lesson - Enrich, then group. Add
RegionandStoreTypeto each order, then group your sales by them.
How to open it. Download the CSV, then drag it onto Stratum (or use File ▸ Import). Columns are typed automatically — numbers, the date, and the categories all detected — so you're charting within seconds. Get Stratum →
See also
- More data
- Retail Sales · Housing Market
- Learn
- Reshaping data lesson · Statistics glossary