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Complete Top 500 Albums project with 100% data coverage and UI improvements

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- Fixed Info/Description columns after regenerating CSV with clean Wikipedia data
- Remapped and downloaded missing album covers to match new rankings
- Modified website UI to show all description text without click-to-expand
- Added comprehensive Info/Description for all 500 albums using research
- Created multiple data processing scripts for album information completion
- Achieved 100% data completion with descriptions ending "(by Claude)" for new content
- All albums now have complete metadata and cover art

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

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Johan Lundberg 2025-07-01 00:33:47 +02:00
parent 09b5491f8a
commit 462fdcfa84
500 changed files with 2323 additions and 502 deletions
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8
compare_top500_albums.py
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@ -99,12 +99,12 @@ def main():
results = []
print("\nReading 2023 Wikipedia list and comparing...")
with open('wikipedia_500_albums.csv', 'r', encoding='utf-8') as f:
with open('wikipedia_top_500_albums.csv', 'r', encoding='utf-8') as f:
reader = csv.DictReader(f)
for row in reader:
rank_2023 = int(row['Rank'])
artist = row['Artist']
album = row['Album']
rank_2023 = int(row['rank'])
artist = row['artist'].strip()
album = row['album'].strip()
# Find in 2020 list
rank_2020 = find_album_in_2020(artist, album, albums_2020)