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LG Appliance Feedback Data
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains valuable information compiled from refrigerator reviews, offering insights into consumer opinions and experiences with various refrigerator models. It aims to provide a clear understanding of customer satisfaction and product performance across different designs.
Columns
- Name: Represents the name or model of the refrigerator reviewed, enabling identification of the specific product.
- Location: Indicates the reviewer's location, useful for discerning regional preferences or trends in refrigerator choices.
- Date: Records when each review was posted, allowing for tracking the timeline of consumer feedback and identifying trends over time.
- Review: Contains the actual text of consumer reviews, providing detailed insights into customers' likes and dislikes about their purchased refrigerators.
- Rating: Provides the numerical ratings assigned by reviewers, quantifying overall satisfaction and serving as a key metric for assessing product performance.
Distribution
The dataset is typically provided in a CSV file format. While specific total row or record counts are not explicitly stated, the data indicates a diverse range with unique values such as 2,316 distinct refrigerator names, 2,108 unique reviewer locations, and 3,638 unique review dates. Rating distributions are also available, showing varying counts across different rating ranges, for example, 2,592 entries for ratings between 1.00 and 1.40. The dataset is global in scope.
Usage
This dataset is ideal for a variety of applications, including:
- Market Research: Understanding consumer sentiment and preferences for refrigerator models.
- Product Development: Gaining insights into what customers liked or disliked to inform future product improvements.
- Sentiment Analysis: Analysing the text reviews to gauge overall sentiment towards specific models or brands.
- Trend Analysis: Tracking consumer feedback over time to identify evolving trends in satisfaction and preferences.
- Regional Analysis: Exploring regional preferences and trends in refrigerator choices based on reviewer locations.
Coverage
The dataset's geographic scope is global, as indicated by its region. The inclusion of a 'Date' column allows for analysis of consumer feedback over time, though specific date ranges are not provided. The 'Location' column further supports understanding regional trends.
License
CC-BY-NC
Who Can Use It
- Data Analysts: To perform sentiment analysis, trend analysis, and regional insights.
- Product Managers: To understand customer needs, identify areas for product improvement, and assess product performance.
- Researchers: To study consumer behaviour, market trends, and product satisfaction within the home appliance sector.
- Marketing Professionals: To identify key selling points and understand customer perceptions for targeted campaigns.
Dataset Name Suggestions
- Refrigerator Customer Reviews
- LG Appliance Feedback Data
- Global Refrigerator Ratings
- Consumer Refrigerator Insights
- Home Appliance Review Dataset
Attributes
Original Data Source: LG Refrigerator Reviews dataset
QUALITY