# 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