This Power BI dashboard provides an insightful analysis of the Wish e-commerce dataset, which was cleaned and pre-processed using Python for accurate results. It highlights key metrics such as product ratings, sales performance, pricing strategies, and shipping options. The dataset underwent cleaning to handle missing values, standardize product variations, and ensure consistency across entries. With the cleaned data, the dashboard offers visualizations that allow users to explore trends in units sold, identify top-performing products, and compare merchants based on ratings and listings. Interactive filters enable deeper analysis of product categories, regional shipping data, and pricing discounts. This dashboard helps users make data-driven decisions, optimize sales strategies, and gain a comprehensive understanding of the Wish platform.
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