Analyst Builds Excel Dashboard to Decode Jumia Product Pricing and Review Trends

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A data analytics student used a Jumia products dataset to build an interactive Excel dashboard aimed at uncovering patterns in pricing, discounts, ratings, and customer reviews. The project began with thorough data cleaning, which involved removing duplicates, standardizing price formats, and handling missing values across key columns. Calculated fields such as discount amount were added, and correlation analysis was applied to examine relationships between variables like discount levels and review counts. PivotTables and charts were then created to categorize products by rating, price, and discount tiers, culminating in a filterable dashboard with slicers for dynamic exploration. The project served as a hands-on exercise in core analytics skills including Excel formulas, PivotTables, and dashboard design.

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