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Smartphone Price Prediction Data
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About
Contains specifications and pricing information for various mobile phone models available in the Indian market. This data is useful for tasks such as building price prediction models and recommender systems. It includes details on features like processor type, RAM, battery capacity, camera specifications, and customer ratings.
Columns
- model: The name of the mobile phone.
- price: The cost of the mobile phone in Indian Rupees (₹).
- rating: The average user rating given to the phone.
- sim: Details about SIM card support, such as 'Dual Sim', and network compatibility (e.g., 3G, 4G, 5G, VoLTE).
- processor: The brand and model of the phone's processor (e.g., Dimensity 700 5G).
- ram: The amount of Random Access Memory (RAM) and inbuilt storage (e.g., 8 GB RAM, 128 GB inbuilt).
- battery: The battery capacity in mAh and any fast charging capabilities (e.g., 5000 mAh Battery with 33W Fast Charging).
- display: The screen size in inches and its resolution (e.g., 6.67 inches, 1080 x 2400 px).
- camera: Specifications for the rear and front cameras (e.g., 50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera).
- card: Information on external memory card support, including type and maximum capacity.
- os: The operating system of the phone.
Distribution
- Format: CSV
- File Name: smartphones.csv
- Size: 353.56 kB
- Structure: The data consists of 1020 rows and 11 columns.
Usage
Ideal applications for this data include:
- Building a smartphone price prediction model.
- Developing a mobile phone recommender system.
- Performing exploratory data analysis and data visualisation.
- Conducting market analysis of smartphone features and pricing in India.
- Feature engineering to understand what drives phone prices and ratings.
Coverage
- Geographic: The data primarily covers the smartphone market in India, with prices listed in the local currency (₹).
- Time Range: The dataset is a snapshot and is not expected to be updated.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building machine learning models for price prediction or recommendation.
- Market Analysts: To analyse trends in the Indian smartphone market, such as popular features and price points.
- Students and Researchers: For projects related to data cleaning, exploratory data analysis, and feature engineering.
- App Developers: To create applications that help users compare phones or find the best device for their budget.
Dataset Name Suggestions
- Indian Smartphone Specifications and Prices
- India Mobile Phone Features and Cost
- Smartphone Price Prediction Data (India)
- Indian Mobile Phone Market Analysis Dataset
Attributes
Original Data Source: Smartphone Price Prediction Data
QUALITY