Dark Mode
Laptop Price Prediction Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides up-to-date pricing and specifications data for 1000 laptops, collected in March 2022. It offers a detailed look into various factors influencing laptop computer prices, including brand, processor, memory, storage, operating system, and additional features. The data was obtained by scraping Flipkart.com, making it a valuable resource for understanding market trends within the e-commerce sector and for predictive modelling.
Columns
- brand: Name of the manufacturer company.
- model: Model of the laptop.
- processor_brand: Brand name of the processor (e.g., Intel, AMD).
- processor_name: Specific name of the processor (e.g., Core i5, Core i3, M1).
- processor_gnrtn: Generation of the processor (e.g., 11th).
- ram_gb: RAM installed in the laptop, in gigabytes.
- ram_type: Type of RAM (e.g., DDR4, LPDDR4X).
- ssd: SSD capacity in gigabytes.
- hdd: HDD capacity in gigabytes.
- os: Operating System (e.g., Windows).
- os_bit: Operating system architecture, 32-bit or 64-bit.
- graphic_card_gb: Graphic card memory in gigabytes.
- weight: Classification of laptop weight (e.g., ThinNlight, Casual, Heavy/Gaming).
- display_size: Display size in inches, float value.
- warranty: Warranty period in years.
- Touchscreen: Indicates if the laptop has a touchscreen (Yes/No).
- msoffice: Indicates if Microsoft Office is pre-installed (True/False).
- latest_price: The most recent price of the laptop in Indian Rupees (INR).
- old_price: The actual original price of the laptop in Indian Rupees (INR).
- discount: Discount percentage applied to the laptop.
- star_rating: User star rating out of 5.
- ratings: Number of user ratings.
- reviews: Number of user reviews.
Distribution
The dataset is provided in a CSV data file format, typical for structured data. It contains 1000 records representing individual laptops and comprises 23 distinct columns. The file size is 93.76 kB.
Usage
This dataset is ideal for:
- Data visualisation: Creating high-quality charts to explore laptop market trends.
- Predictive modelling: Building models to forecast laptop prices based on specifications and features.
- Market analysis: Understanding the key factors that influence laptop pricing, such as brand reputation, hardware specifications (memory, processor speed, hard drive space), bundled software, and additional accessories.
- Product comparison: Analysing differences in pricing and offerings between various laptop brands and models, including warranty comparisons.
Coverage
The data was scraped from Flipkart.com, primarily covering the Indian laptop market. The information was collected in March 2022. The dataset captures price and specification details for a substantial number of laptops available during that period.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For developing and testing price prediction algorithms.
- Data Analysts and Researchers: For performing exploratory data analysis, market research, and generating insights into laptop industry dynamics.
- E-commerce Businesses and Retailers: To benchmark pricing strategies, understand competitive landscapes, and optimise product offerings.
- Consumers and Tech Enthusiasts: To make informed purchasing decisions by understanding the value drivers of laptop prices.
Dataset Name Suggestions
- Laptop Pricing and Specifications 2022
- Flipkart Laptop Market Data
- Laptop Price Prediction Dataset
- Indian Laptop Market Snapshot (March 2022)
Attributes
Original Data Source: Laptop Price Prediction Dataset
QUALITY