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@aldrejota·1 public viz
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.