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Global Laptop Market Features
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About
Detailed specifications for 3,976 laptops from a variety of brands are contained in this dataset. It includes a wide array of features such as brand, processor information, RAM, storage, GPU details, display type, price, and battery life. This data is valuable for exploring and analysing laptop specifications across different price points and configurations.
Columns
- Brand: The manufacturer of the laptop (e.g., HP, Lenovo, Dell).
- Name: The full name or model number of the laptop.
- Price: The price of the laptop in local currency.
- Processor_Name: The full name of the processor (e.g., Intel Core i5, AMD Ryzen 5).
- Processor_Brand: The brand of the processor (e.g., Intel, AMD).
- RAM_Expandable: Indicates if the RAM is expandable and to what size.
- RAM: The installed RAM size (e.g., 8 GB, 16 GB).
- RAM_TYPE: The type of RAM used (e.g., DDR4, LPDDR4X).
- Ghz: The clock speed of the processor in GHz.
- Display_type: The display technology used (e.g., LED, LCD).
- Display: The screen size in inches.
- GPU: The model of the graphics processing unit.
- GPU_Brand: The brand of the GPU (e.g., NVIDIA, Intel).
- SSD: The capacity of the Solid-State Drive storage.
- HDD: The capacity of the Hard Disk Drive storage.
- Adapter: The wattage of the power adapter.
- Battery_Life: The estimated battery life in hours.
Distribution
The dataset is provided in a single CSV file named
laptop.csv, with a size of 1.23 MB. It contains 3,976 records and 18 columns.Usage
Ideal applications for this dataset include market analysis, price prediction modelling, and exploratory data analysis of laptop features. It can be used to understand the relationships between specifications like processor type, RAM, and storage, and their impact on price. It is also suitable for regression tasks and random forest models.
Coverage
The dataset covers a wide range of laptop models and brands. There is no specific geographic, temporal, or demographic scope mentioned in the provided information. The data does not have an expected update frequency.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Analysts: Can perform exploratory data analysis to uncover trends in the laptop market.
- Machine Learning Engineers: Can build regression models to predict laptop prices based on their specifications.
- Market Researchers: Can analyse brand positioning and feature distribution across different price segments.
- Students: Can use this dataset for projects related to data analytics and machine learning.
Dataset Name Suggestions
- Laptop Specifications and Pricing
- Global Laptop Market Features
- Laptop Price Prediction Dataset
- Detailed Laptop Specifications
Attributes
Original Data Source: Global Laptop Market Features
QUALITY