Road Bikes, BMX & Broken Records: Building Regulatory-Grade Datasets Using SAS and R
Analysis-Ready Bike Intelligence with SAS and R Introduction: When Dirty Data Derails Analytics Imagine a multinational bicycle manufacturer selling Road Bikes, Mountain Bikes, BMX Bikes, Gravel Bikes, Electric Bikes, Hybrid Bikes, Touring Bikes, Folding Bikes, Cyclocross Bikes, Fat Bikes, Track Bikes, Cargo Bikes, Recumbent Bikes, Cruiser Bikes, Kids Bikes, Tandem Bikes, Triathlon Bikes, Commuter Bikes, Dirt Jump Bikes, and Enduro Bikes across multiple countries. A quarterly executive dashboard suddenly reports that electric bike sales declined by 40%. Management prepares a restructuring plan. However, the problem isn't sales. The problem is dirty data. Duplicate Bike IDs were counted twice. Several bike launch dates contained invalid timestamps. Negative revenue values entered during system migration were interpreted as losses. Region codes appeared as: us USA U.S. Usa NULL Customer emails were malformed. Bike categories contained spelling var...