$ cd ../
Merge & Join — Combining Datasets — bash

user@devops:~$ cat README.md

Merge & Join — Combining Datasets

# Description

Dataset combination project with pandas simulating a real e-commerce environment where data comes from multiple sources: CRM customer data, sales system, product catalog, and reviews. Learn the 4 join types (INNER, LEFT, RIGHT, OUTER), chained joins to combine 3+ tables, CONCAT for stacking data vertically, and using the indicator parameter for debugging. Includes conceptual diagrams and business analysis.

# Key features

$ INNER JOIN: only records that exist in both tables

$ LEFT JOIN: all records from the main table enriched

$ OUTER JOIN with indicator to see missing data in each table

$ Multiple chained joins: 4+ table combination like real ML

$ CONCAT for vertical data stacking

$ Cardinality detection and duplicate key verification

# Gallery

Desktop view
Merge & Join — Combining Datasets - Desktop view
Mobile view
Merge & Join — Combining Datasets - Mobile view

# Technologies used

Python pandas numpy matplotlib seaborn
Hermes Agent