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Consumer Electronics Pricing and Ratings
Data Science and Analytics
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About
Analyse the performance and market dynamics of air conditioning (A/C) products using a dataset focused on key specifications, pricing, and consumer feedback. The data provides insight into the current market scenario for A/C units, covering various tonnage offerings and products from multiple manufacturers competing in the space. The raw data requires initial cleaning due to the presence of missing values and inconsistent formatting, particularly in the power consumption and refrigerant columns. Key metrics included are cooling capacity, energy usage, sound levels, material specifications, and average customer star ratings and the total number of reviews.
Columns
- Brand_name: Indicates the name of the product manufacturer, such as Panasonic or SAMSUNG.
- TOn: Represents the cooling capacity of the unit, measured by how much heat the AC unit can remove from a home in one hour.
- Condenser_Coil (material): Specifies the material used for the condenser coil, which is responsible for removing heat from the refrigerant. Common materials include Copper and Alloy.
- Power_Consumption: Shows the energy consumed by the AC unit. This column contains mixed units (W and kWh) and requires conversion (1 kWh = 1000 W) for standardisation.
- RefrigeranT: Identifies the working fluid used in the refrigeration cycle (e.g., R-32, R410A).
- Noise_level: Indicates the measure of unwanted sound produced by the HVAC equipment (e.g., 45 dB).
- Stars: The average customer rating provided on a scale of 5.
- Ratings: The total number of people who have submitted a rating or feedback for the specific product.
- Price: The selling price of the product.
- Image_url: Provides a direct link to the product's image.
Distribution
The dataset is provided in CSV format and contains 276 samples or records across 10 distinct attributes. The file size is 51.92 kB.
The data reveals dominant trends in the market: 1.5 Ton units account for 55% of the samples, and Copper is the material used for the condenser coil in 99% of the products. While most columns are complete, two records (1%) are missing values in the Power_Consumption attribute.
Usage
This data product is ideal for exploring various market hypotheses, including:
- Determining the demand for different specifications of A/C units.
- Identifying the top five brands currently active in the market.
- Analysing which brand holds the largest product share.
- Investigating correlations between product ratings (Stars) and selling price.
- Calculating the average selling price segmented by product manufacturer.
Coverage
The dataset focuses on market metrics and product specifications for A/C units. There is no explicit geographic or temporal scope defined in the sources. The data reflects current product listings and customer feedback.
License
CC0: Public Domain
Who Can Use It
- Market Researchers: To study competitive pricing, brand performance, and consumer preference shifts based on features like tonnage and noise level.
- Data Scientists/Analysts: To perform exploratory data analysis, data cleaning, and build regression models linking price or ratings to product specifications.
- Product Managers (Electronics/HVAC): To benchmark product features, such as refrigerant type and power consumption, against competitors.
Dataset Name Suggestions
- Air Conditioner Market Specifications and Reviews
- HVAC Unit Performance Metrics (276 Samples)
- Consumer Electronics Pricing and Ratings
Attributes
Original Data Source: Consumer Electronics Pricing and Ratings
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