To help you develop a review or analysis of this data, here is a structured approach based on common e-commerce data practices: 1. Data Sanitization & Cleaning
: Identify frequently mentioned words (e.g., "quality," "delivery," "broken," "recommend") to understand general customer satisfaction or common pain points. 138K SHOPPING DATA.txt
: Convert review text to lowercase and remove special characters if you plan to perform sentiment analysis. 2. Quantitative Review (The Numbers) To help you develop a review or analysis
: Determine which shopping categories (electronics, apparel, home goods) have the highest density of entries. 138K SHOPPING DATA.txt
: Use a tool to categorize reviews as Positive, Neutral, or Negative.