Finalize dropped albums list with correct 8 albums and balance new albums

- Corrected dropped albums to exactly 8 albums through detailed comparison analysis
- Updated dropped albums list (ranks 501-508) with proper albums that were truly removed
- Fixed "New in 2023" markings to show only 8 albums (balancing the 8 dropped)
- Downloaded cover art for all 8 dropped albums
- Removed incorrect cover art files for albums that weren't actually dropped
- Updated data files with corrected artist/album name formatting for accurate matching

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

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

scripts/fix_new_albums.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""
+Update the CSV to mark only the correct 8 albums as "New in 2023".
+"""
+
+import csv
+
+def main():
+    # The correct 8 new albums
+    correct_new_albums = {
+        491: ('Harry Styles', "Harry's House"),
+        466: ('Black Uhuru', 'Red'),
+        437: ('Gorillaz', 'Demon Days'),
+        430: ('Bad Bunny', 'Un Verano Sin Ti'),
+        358: ('Olivia Rodrigo', 'Sour'),
+        351: ('SZA', 'SOS'),
+        170: ('Taylor Swift', 'Folklore'),
+        71: ('Beyonce', 'Renaissance')
+    }
+    
+    print(f"✅ Correcting to mark only {len(correct_new_albums)} albums as 'New in 2023'")
+    
+    # Read current data
+    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)
+    
+    # Update statuses
+    updated_count = 0
+    for album in albums:
+        rank = int(album['Rank'])
+        
+        # If this rank should be marked as "New in 2023"
+        if rank in correct_new_albums:
+            expected_artist, expected_album = correct_new_albums[rank]
+            # Verify it matches
+            if album['Artist'] == expected_artist or expected_album.lower() in album['Album'].lower():
+                album['Status'] = 'New in 2023'
+                updated_count += 1
+                print(f"✅ #{rank} - {album['Artist']} - {album['Album']} -> New in 2023")
+            else:
+                print(f"⚠️  Rank {rank} mismatch: expected {expected_artist} - {expected_album}, got {album['Artist']} - {album['Album']}")
+        
+        # If it's currently marked as "New in 2023" but not in our list, change it
+        elif 'New in 2023' in album.get('Status', ''):
+            album['Status'] = 'No change'
+            print(f"❌ #{rank} - {album['Artist']} - {album['Album']} -> Changed to No change")
+    
+    # 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 CSV with {updated_count} albums marked as 'New in 2023'")
+    print(f"📁 Saved to: top_500_albums_2023.csv")
+
+if __name__ == "__main__":
+    main()