Four ski resort data sources had no shared daily view. Counts did not agree, and a one-time repor...Four ski resort data sources had no shared daily view. Counts did not agree, and a one-time repor...
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Four ski resort data sources had no shared daily view. Counts did not agree, and a one-time report would go stale overnight.
A Python pipeline cleaned a synthetic ski season (45 duplicate downtime rows removed, 30 adjacent events merged) and joined four sources into one daily fact table. A live dashboard reads that table. Scans ran 3.39 times unique visitors, so they cannot be summed as visitation.
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