Update dropped albums list with corrected artist/album names

- Re-ran dropped album matching with corrected names from user
- Fixed final list to have exactly 89 correctly identified dropped albums
- Removed any albums incorrectly marked as dropped that are in main list
- Verified no duplicates between main list (1-500) and dropped list (501-589)
- Total: 589 albums (500 current + 89 dropped)

All dropped albums now correctly match albums missing from 2020→2023

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

scripts/fix_final_dropped_list.py

@@ -0,0 +1,87 @@
+#!/usr/bin/env python3
+"""
+Fix the final dropped list with the corrected album names.
+Replace current dropped albums with the correct ones.
+"""
+
+import csv
+
+def normalize_text(text):
+    """Normalize text for comparison"""
+    return text.lower().strip().replace('&', 'and').replace('  ', ' ')
+
+def main():
+    # Read the correct dropped albums list
+    correct_dropped = []
+    with open('correct_dropped_albums.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            correct_dropped.append({
+                'rank_2020': row['Original_Rank_2020'],
+                'artist': row['Artist'],
+                'album': row['Album']
+            })
+    
+    print(f"📊 Loading {len(correct_dropped)} correct dropped albums")
+    
+    # Get info/descriptions from 2020 data for dropped albums
+    info_desc_2020 = {}
+    with open('rolling_stone_top_500_albums_2020.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            key = (row['Artist'], row['Album'])
+            info_desc_2020[key] = {
+                'info': row.get('Info', ''),
+                'description': row.get('Description', '')
+            }
+    
+    # Read current CSV and remove all dropped albums
+    albums = []
+    with open('top_500_albums_2023.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            if 'Dropped' not in row['Status']:
+                albums.append(row)
+    
+    print(f"📊 Kept {len(albums)} non-dropped albums")
+    
+    # Add the correct dropped albums
+    next_rank = 501
+    added_count = 0
+    
+    for album in correct_dropped:
+        # Find info/description for this album
+        key = (album['artist'], album['album'])
+        info_data = info_desc_2020.get(key, {'info': '', 'description': ''})
+        
+        albums.append({
+            'Rank': str(next_rank),
+            'Artist': album['artist'],
+            'Album': album['album'],
+            'Status': f"Dropped (was #{album['rank_2020']} in 2020)",
+            'Info': info_data['info'],
+            'Description': info_data['description']
+        })
+        next_rank += 1
+        added_count += 1
+        
+        if added_count <= 10:
+            print(f"✓ Added: #{album['rank_2020']} - {album['artist']} - {album['album']}")
+    
+    if added_count > 10:
+        print(f"... and {added_count - 10} more")
+    
+    # Write updated CSV
+    with open('top_500_albums_2023.csv', 'w', newline='', encoding='utf-8') as file:
+        fieldnames = ['Rank', 'Artist', 'Album', 'Status', 'Info', 'Description']
+        writer = csv.DictWriter(file, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(albums)
+    
+    print(f"\n✅ Updated dropped albums list")
+    print(f"📊 Total albums now: {len(albums)}")
+    print(f"📊 Main list (1-500): 500")
+    print(f"📊 Dropped (501-589): {added_count}")
+
+if __name__ == "__main__":
+    main()