ORIGINAL FICTIONAL TEACHING DATA — NOT CLIENT OR EMPLOYER RECORDS
Currency EUR; money uses integer cents. Convert for display only.
retail-orders.csv: one row per order_id, unique; period YYYY-MM; channel Web/Store; status completed/cancelled; net_cents >=0 excludes tax. Only completed orders enter sales KPI.
retail-orders-messy.csv: duplicate R01, missing R05 status, inconsistent R02 channel. Confirm R05 status from clean control source; do not infer missing means completed.
inventory-counts.csv: one row per SKU; opening+receipts-shipped-damaged = expected closing; closing_count is independent physical count. Difference = counted-expected.
campaign-performance.csv: one row per campaign and period; spend_cents >=0, clicks>=0, conversions>=0. Conversion attribution is a fictional platform definition; not incremental business impact.
No personal data. Created by DataCareerHub for teaching; you may use and adapt these fictional fixtures in your own learning and portfolio with source acknowledgement. Do not claim these were commercial client projects.