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/add_remaining_dropped.py

@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+"""
+Add the remaining dropped albums to complete the list of 89 total dropped albums.
+We already have 7, so we need to add 82 more.
+"""
+
+import csv
+
+# Albums already in our dropped list (501-507)
+already_added = {
+    ("The Rolling Stones", "Exile on Main Street"),
+    ("David Bowie", "The Rise and Fall of Ziggy Stardust and the Spiders From Mars"),
+    ("Prince", "Sign O' the Times"),
+    ("Eric B. and Rakim", "Paid in Full"),
+    ("Metallica", "Metallica (Black Album)"),
+    ("Weezer", "Weezer (Blue Album)"),
+    ("Sonic Youth", "Goo")
+}
+
+def main():
+    # Read the complete dropped albums list
+    all_dropped = []
+    with open('truly_dropped_albums.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            all_dropped.append({
+                'rank_2020': row['Original_Rank_2020'],
+                'artist': row['Artist'],
+                'album': row['Album']
+            })
+    
+    print(f"📊 Total dropped albums from 2020→2023: {len(all_dropped)}")
+    
+    # Filter out the ones we've already added
+    to_add = []
+    for album in all_dropped:
+        key = (album['artist'], album['album'])
+        # Check variations
+        if key not in already_added:
+            # Also check without parentheses for Black Album
+            alt_album = album['album'].replace(' (The Black Album)', '').replace(' (Blue Album)', '')
+            alt_key = (album['artist'], alt_album)
+            if alt_key not in already_added:
+                to_add.append(album)
+    
+    print(f"📊 Already added as dropped: {len(already_added)}")
+    print(f"📊 Need to add: {len(to_add)}")
+    
+    # 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)
+    
+    current_max_rank = max(int(album['Rank']) for album in albums)
+    next_rank = current_max_rank + 1
+    
+    # Get info/descriptions from 2020 data
+    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', '')
+            }
+    
+    # Add remaining dropped albums
+    added_count = 0
+    for album in to_add:
+        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✅ Added {added_count} dropped albums")
+    print(f"📊 Total albums now: {len(albums)}")
+    print(f"📊 Total dropped albums: {len([a for a in albums if 'Dropped' in a['Status']])}")
+
+if __name__ == "__main__":
+    main()