138k Shopping Data.txt May 2026

: E-commerce datasets often contain duplicate entries from system errors or scraping artifacts.

Developing a review of the text within the file requires looking at customer feedback: 138K SHOPPING DATA.txt

: Calculate the average rating and the spread (e.g., are most reviews 5-star, or is there a significant "polarization" with many 1-star and 5-star reviews?). : E-commerce datasets often contain duplicate entries from

: If the data shows many negative reviews related to "shipping speed," the recommendation would be to optimize logistics. are most reviews 5-star

A review of 138,000 data points should start with high-level statistics to identify trends:

: Determine which shopping categories (electronics, apparel, home goods) have the highest density of entries.