: Convert review text to lowercase and remove special characters if you plan to perform sentiment analysis. 2. Quantitative Review (The Numbers)

: 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?).

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

While there is no single established dataset or file universally known as "" in a public repository like Kaggle or GitHub , this title likely refers to a large collection of consumer reviews or transaction logs. Similar datasets often contain columns for product IDs, customer ratings, review text, and timestamps.

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

Developing a review of the text within the file requires looking at customer feedback:

IKEA * 138K Ratings. 4.8. * 4+ * Category. Shopping. * Inter IKEA Systems B.V. * + 23 More. * Size. 214.

: Identify "star" products that consistently receive high ratings with high volume.