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LDS Pandas Merge 25 — 25 Curated Python Problems
A 5-stage progression on pandas merge: 2-table inner merges, chained 2-3-4 table pipelines, anti-merges with `indicator=True`, and the 4-5 merge feature-matrix pipelines that stitch a production DataFrame together. Twenty-five problems on 15 industry-grade schemas — the pandas equivalent of getting SQL joins right.
Problems included in LDS Pandas Merge 25
- Accounts With Customer Names
- Charges With Merchant Names
- Listings With Property Details
- Posts With Author Names
- Subscriptions with Plan Names
- Click Path with Advertiser
- Claim Details With Provider and Plan
- Order Details With Restaurant and Customer
- Inquiry-to-Tour Pipeline
- Usage with Plan Info
- Position Details With Full Hierarchy
- Full Reservation Hierarchy
- Full Order Line Detail
- Subscription Full Hierarchy
- Session Full Hierarchy
- Creative Assets Not Used in Ads
- Procedures Without Any Claims
- Menu Items Without Orders
- Drivers Without Trips
- Products Without Orders
- Campaign Health Classification System
- Cross-Provider Claims Analysis
- Buyer Journey Analysis
- Revenue Pipeline Analysis
- User Feature Matrix