Analyst Builds Interactive Dashboard to Examine Jumia Product Performance Data

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A data analyst created an interactive Excel dashboard to examine product performance on Jumia, a major African e-commerce platform. The dataset covered 112 products across six fields including price, rating, reviews, and discount, and required cleaning steps such as duplicate removal and formula-based formatting. Additional calculated columns were added to categorize products by discount level, rating quality, and price quartile. Statistical analysis using scatter charts revealed very weak correlations between discount and reviews, price and rating, and rating and reviews, with R-squared values all below 0.02. The complete project, including raw data, PivotTables, and the final dashboard, has been published on GitHub.

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