Practice Datasets
Sunshine Grocers is a fictional Florida grocery chain with two years of realistic sales (2024–2025). Use it to practice Excel, Power BI, Tableau, SQL and Python — every Academy mission uses it.
Tables
| Table | What's inside | Columns | |
|---|---|---|---|
stores | 12 stores across 4 Florida regions | store_id, store_name, city, state, region, store_type, open_date, square_feet | CSV |
products | 27 products in 6 categories | product_id, product_name, category, brand, unit_cost, unit_price | CSV |
customers | 1,200 customers with segment and loyalty flag | customer_id, first_name, last_name, city, state, segment, signup_date, loyalty_member | CSV |
orders | 9,665 orders (2024–2025) | order_id, order_date, customer_id, store_id, channel, payment_method | CSV |
order_items | 28,742 order lines with quantity, price and discount | order_item_id, order_id, product_id, quantity, unit_price, discount | CSV |
inventory | Stock on hand and reorder points | store_id, product_id, snapshot_date, on_hand, reorder_point | CSV |
employees | 102 employees with roles, managers and pay rates | employee_id, first_name, last_name, store_id, role, hire_date, manager_id, hourly_rate | CSV |
campaigns | 48 marketing campaigns with spend and results | campaign_id, campaign_name, channel, start_date, end_date, budget, impressions, clicks, conversions, revenue | CSV |
budget | Monthly revenue and expense budget per store | month, store_id, revenue_budget, expense_budget | CSV |
Net sales formula:
quantity × unit_price × (1 − discount). Relationships: order_items → orders → customers/stores; order_items → products; inventory and budget link by store_id.All names, stores and figures are fictional. Free to use for learning.