{"version":"1.0","type":"rich","title":"Gist a8cdd9d2af62e2b60770ef48abf320d5","description":"The visualization tracks service status records for the MRT-3 rail system, compiling dates, times, descriptions, categories, stations, and bound directions into a tabular dataset. It scrapes paginated pages from the DOTC MRT-3 website using BeautifulSoup and Requests, parsing HTML tables within news items and storing results in a pandas DataFrame with NumPy-allocated space. The script iterates through up to 3,000 records, skipping malformed header rows, and exports the cleaned data to a CSV file via pandas' `to_csv` method.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-a8cdd9d2af62e2b60770ef48abf320d5?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}