Complete dropped albums list with all 89 truly dropped albums from 2020

- Added all 89 albums that were genuinely dropped from 2020 to 2023
- Fixed incorrect status markings (many albums marked "New in 2023" were not new)
- Removed duplicates and albums incorrectly marked as dropped
- Final count: 589 total (500 main list + 89 dropped)
- Updated JavaScript validation for extended range
- Created comprehensive analysis scripts to verify data

Math now adds up correctly: 89 albums dropped to make room for new additions

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

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

scripts/final_cleanup_dropped.py

@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""
+Final cleanup - remove any dropped albums that are actually in the main Top 500 list.
+"""
+
+import csv
+
+def normalize_name(text):
+    """Normalize for comparison"""
+    return text.lower().strip().replace('  ', ' ')
+
+def main():
+    # Read current CSV
+    albums = []
+    with open('top_500_albums_2023.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            albums.append(row)
+    
+    print(f"📊 Total albums before final cleanup: {len(albums)}")
+    
+    # Get all albums in main list (ranks 1-500)
+    main_list_albums = set()
+    for album in albums:
+        if int(album['Rank']) <= 500:
+            key = (normalize_name(album['Artist']), normalize_name(album['Album']))
+            main_list_albums.add(key)
+    
+    print(f"📊 Albums in main Top 500 list: {len(main_list_albums)}")
+    
+    # Find dropped albums that are actually in the main list
+    to_remove = []
+    for i, album in enumerate(albums):
+        if 'Dropped' in album['Status']:
+            key = (normalize_name(album['Artist']), normalize_name(album['Album']))
+            if key in main_list_albums:
+                print(f"❌ Found incorrectly dropped album that's in main list:")
+                print(f"   Rank {album['Rank']} - {album['Artist']} - {album['Album']}")
+                to_remove.append(i)
+    
+    # Remove incorrect entries
+    if to_remove:
+        print(f"\n🗑️  Removing {len(to_remove)} incorrect entries...")
+        for i in reversed(to_remove):
+            del albums[i]
+        
+        # Renumber albums after 500
+        current_rank = 501
+        for album in albums:
+            if int(album['Rank']) > 500:
+                album['Rank'] = str(current_rank)
+                current_rank += 1
+    
+    # Write final 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✅ Final cleanup complete!")
+    print(f"📊 Total albums now: {len(albums)}")
+    print(f"📊 Total dropped albums: {len([a for a in albums if 'Dropped' in a['Status']])}")
+    
+    # Verify the math
+    new_albums = len([a for a in albums if a['Status'] == 'New in 2023' and int(a['Rank']) <= 500])
+    dropped_albums = len([a for a in albums if 'Dropped' in a['Status']])
+    print(f"\n🔍 Verification:")
+    print(f"   New albums in 2023: {new_albums}")
+    print(f"   Dropped albums: {dropped_albums}")
+    print(f"   Should both equal: {'✅ YES' if new_albums == dropped_albums else '❌ NO'}")
+
+if __name__ == "__main__":
+    main()