Developer Builds First Independent Power BI Project Using Messy Car Sales Dataset

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A developer completed their first self-guided Power BI project using a car sales dataset called Jcars, which required extensive data cleaning before analysis. Using Power Query, they addressed data quality issues by replacing errors with null values, adjusting data types, and applying formatting functions like TRIM and Proper. The cleaned dataset was duplicated six times and structured into dimension tables and a fact table, a standard star-schema model used for business intelligence reporting. All dimension tables were linked to the central fact table using keys to enable relational modelling. Dashboard analysis revealed that the government sector was the largest buyer of cars, primarily preferring SUVs, while also accounting for the highest number of vehicle returns.

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