Railway ticket records with Python and Pandas, covering purchase type, payment, journey times, delays, and refunds. Explores pricing patterns, customer behavior, and delay reasons. Includes visualizations and stats for EDA, time series insights, and improving rail service efficiency.
☆11Apr 24, 2025Updated last year
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