Developer Builds Excel Dashboard to Analyse Jumia E-commerce Product Data

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A developer analysed 115 Jumia product records as part of a personal data analysis case study. During the data cleaning phase using Python and Pandas, three records with invalid review values were removed, leaving a final dataset of 112 products. The cleaned data was then loaded into PostgreSQL, where SQL queries were used to explore business questions around product discounts and pricing. Finally, the structured data was imported into Microsoft Excel, where pivot tables and summary charts were built to visualise patterns in discounts, ratings, and review activity. The full project, including code and findings, has been published on GitHub.

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