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Electronics Market Behaviour Dataset
Retail & Consumer Behavior
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About
This dataset offers insights into consumer electronics sales, focusing on understanding customer satisfaction and purchase intent. It features product details such as categories, brands, and prices, alongside customer demographics like age and gender, and behavioural metrics including purchase frequency. The dataset is synthetic and designed for educational purposes, making it ideal for various data science and machine learning projects. It facilitates analysis of consumer behaviour and purchase patterns in the electronics sector, aiding insights into market dynamics and customer preferences.
Columns
- ProductID: A unique identifier for each product.
- ProductCategory: The category of the consumer electronics product (e.g., Smartphones, Laptops).
- ProductBrand: The brand of the product (e.g., Apple, Samsung).
- ProductPrice: The price of the product in USD.
- CustomerAge: The age of the customer.
- CustomerGender: The gender of the customer, represented as 0 for Male and 1 for Female.
- PurchaseFrequency: The average number of purchases made by a customer per year.
- CustomerSatisfaction: A rating of customer satisfaction on a scale of 1 to 5.
- PurchaseIntent (Target Variable): An indicator of the customer's intent to purchase.
Distribution
The dataset is provided as a CSV file named
consumer_electronics_sales_data.csv, with a size of 478.37 kB. It contains 9 columns and 9000 valid records, with no missing values across any of the fields. The data is structured in a tabular format. The dataset is not expected to receive future updates. Product categories include Laptops and Smartphones, with other categories making up 59% of the data. Product brands include Samsung and HP, with other brands making up 59% of the data. Customer ages range from 18 to 69 years, and customer genders are almost equally distributed between male (4,420 records) and female (4,580 records).Usage
This dataset is suitable for various applications, including:
- Analysing factors that influence purchase intent among consumers.
- Investigating drivers of customer satisfaction in the consumer electronics market.
- Developing predictive models for consumer electronics sales.
- Studying market dynamics and customer preferences in the electronics sector.
- Educational data science and machine learning projects.
Coverage
The dataset covers customer demographics including age (ranging from 18 to 69 years) and gender (represented as 0 for male and 1 for female). It also encompasses various product categories and brands within consumer electronics. Specific geographic regions or time ranges for the data collection are not detailed within the available information.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and testing models related to sales prediction, customer segmentation, and satisfaction analysis.
- Market Researchers: To gain insights into consumer behaviour, product preferences, and market trends in the electronics industry.
- Students and Educators: As an original, synthetic dataset for learning and teaching data analysis, statistics, and machine learning concepts.
- Business Analysts: To inform business strategies related to product pricing, marketing, and customer relationship management in consumer electronics.
Dataset Name Suggestions
- Consumer Electronics Purchase & Satisfaction Data
- Electronics Market Behaviour Dataset
- Customer Intent for Electronics Sales
- Product Satisfaction and Purchase Predictor
- Digital Devices Consumer Trends
Attributes
Original Data Source:Electronics Market Behaviour Dataset
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