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CLAUDE.md

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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+This repository contains Rolling Stone's Top 500 Albums of 2020 list in CSV format. It is a data-only repository with no executable code.
+
+## Data Structure
+
+### File: `rolling_stone_top_500_albums_2020.csv`
+
+The CSV file contains the following columns:
+- **Rank**: Album ranking (1-500, stored in reverse order with 500 first)
+- **Artist**: Artist or band name
+- **Album**: Album title
+- **Info**: Label and release year (e.g., "Blue Note, 1959")
+- **Description**: Detailed description of the album's significance and impact
+
+## Common Tasks
+
+### Reading the Data
+When working with this data, use standard CSV parsing tools appropriate for the language:
+- Python: `pandas.read_csv()` or `csv` module
+- JavaScript/Node.js: CSV parsing libraries like `csv-parse` or `papaparse`
+- Command line: Tools like `csvkit`, `awk`, or `cut`
+
+### Data Characteristics
+- The file is encoded in UTF-8
+- Contains 500 rows (plus header)
+- Rankings are stored in reverse order (500 to 1)
+- Descriptions contain rich text about each album's cultural and musical significance
+- Some entries may contain special characters in artist/album names
+
+## Potential Use Cases
+
+This data can be used for:
+1. Building music recommendation systems
+2. Creating data visualizations of music history
+3. Analyzing music trends by decade/genre
+4. Building APIs or web applications to browse the album list
+5. Educational projects about music history
+6. Statistical analysis of the most influential albums
+
+## Notes
+
+- This is not a git repository, so version control commands are not applicable
+- No build, test, or lint commands exist as this is purely a data repository
+- When processing the data, be aware that the ranking order is reversed in the file