Smart File Merger

Pro v1.0.0 2 views

Merge CSV and Excel files intelligently with schema analysis, optimal join logic, and comprehensive quality reporting - no VLOOKUP or programming needed.

What You Get

Merge CSV and Excel files with automated schema analysis and comprehensive quality reporting

The Problem

You need to combine data from multiple CSV and Excel files - reconciling CRM and billing systems, consolidating monthly exports, or enriching sales data with customer information - but manual VLOOKUP formulas and copy-paste operations are tedious, error-prone, and time-consuming.

The Solution

This skill analyzes the structure of your 2-5 files, identifies potential join keys like customer IDs or product codes, and recommends the optimal merge strategy. It supports multiple join types - inner joins for strict matching, left joins to preserve all base records, right joins for completeness, and outer joins for full reconciliation. The skill executes the merges using Python and pandas, tracking match statistics and identifying data quality issues like duplicate keys, missing values, and anomalies throughout the process. You receive a merged dataset ready for immediate analysis in CSV format, plus a detailed merge report showing match percentages for each operation, data quality findings, clear explanations of what data matched and what didn't (and why), and recommendations for data cleanup or further investigation.

How It Works

  1. 1 Provide 2-5 data files (CSV or Excel) with a brief description of what each contains
  2. 2 Skill analyzes file schemas - column names, data types, row counts, and potential join keys
  3. 3 Skill suggests merge strategy including join order, join keys, and join types with plain language explanation
  4. 4 Confirm or adjust the suggested strategy based on your needs
  5. 5 Skill executes merges with Python, tracking statistics and identifying quality issues
  6. 6 Receive merged CSV file and comprehensive report with match statistics, quality findings, and recommendations

What You'll Need

  • Python 3 with pandas library
  • 2-5 CSV or Excel files to merge
  • Files should have common key columns like IDs or dates
  • Each file under 100MB

Get This Skill

Requires Pro subscription ($9/month)

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