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Mobile Price Prediction Dataset

Stock & Market Data

Tags and Keywords

Smartphones

Price

Features

India

Market

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Mobile Price Prediction Dataset Dataset on Opendatabay data marketplace

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Free

About

This dataset provides detailed information on smartphones available in India. It has been carefully curated to assist with exploring, analysing, and modelling smartphone features and pricing trends across leading brands such as Samsung, OnePlus, Realme, and Motorola. Its primary purpose is to support price prediction, feature analysis, and machine learning initiatives.

Columns

  • brand_name: The brand of the smartphone (e.g., Samsung, Xiaomi, Apple).
  • model: The specific model name of the smartphone.
  • price: The price of the smartphone in Indian Rupees (INR), ranging from 3,499 to 650,000.
  • rating: User ratings for the smartphone, with values typically between 60 and 89.
  • has_5g: A boolean indicating whether the phone supports 5G connectivity.
  • has_nfc: A boolean indicating whether the phone supports Near Field Communication (NFC) technology.
  • has_ir_blaster: A boolean indicating if the phone includes an infrared (IR) blaster.
  • processor_brand: The brand of the processor used (e.g., Snapdragon, MediaTek).
  • num_cores: The number of cores in the phone’s processor, predominantly 8 cores.
  • processor_speed: The clock speed of the processor in GHz, ranging from 1.2 GHz to 3.22 GHz.
  • battery_capacity: The battery capacity in mAh, with most phones having between 3,838.9 mAh and 5,856.8 mAh.
  • fast_charging_available: A boolean indicating if fast charging is available.
  • fast_charging: The fast charging wattage, ranging from 10W to 240W.
  • ram_capacity: The RAM capacity in GB, commonly 4GB, 6GB, or 8GB.
  • internal_memory: The internal storage capacity in GB, with common sizes being 64GB, 128GB, and 256GB.
  • screen_size: The screen size in inches, mostly between 6.23 and 6.68 inches.
  • refresh_rate: The screen refresh rate in Hz, with common rates being 60Hz, 90Hz, and 120Hz.
  • num_rear_cameras: The number of rear cameras, often 3.
  • num_front_cameras: The number of front cameras, typically 1.
  • os: The operating system (e.g., Android, iOS), with Android being the most prevalent.
  • primary_camera_rear: The primary rear camera specification in megapixels (MP), ranging from 2 MP to 200 MP.
  • primary_camera_front: The primary front camera specification in megapixels (MP), ranging from 0.3 MP to 60 MP.
  • extended_memory_available: A boolean indicating whether expandable memory is available.
  • extended_upto: The maximum expandable storage capacity in GB, up to 2048 GB (2TB) for some models.
  • resolution_width: The screen resolution width in pixels, commonly 1080 pixels.
  • resolution_height: The screen resolution height in pixels, commonly 2400 pixels.

Distribution

This dataset is provided as a CSV data file, named Smartphones_cleaned_dataset.csv. It has a size of 122.16 kB and contains 980 records across 26 distinct columns. The data is structured in a tabular format, ideal for direct use in analytics and machine learning workflows.

Usage

This dataset is suitable for various applications, including:
  • Exploratory Data Analysis (EDA) to understand smartphone market trends.
  • Building price prediction and regression models.
  • Determining feature importance and ranking for smartphone specifications.
  • Conducting trend analysis in smartphone technology advancements.
  • Developing budget-based recommendation systems for consumers.

Coverage

The dataset focuses on smartphones available in India. It captures current market dynamics relevant to major smartphone brands. A specific time range or demographic scope is not provided within the available information.

License

CC0: Public Domain

Who Can Use It

This dataset is ideal for data analysts, machine learning engineers, and researchers aiming to understand and model the smartphone market. It is also beneficial for businesses looking to develop recommendation systems or perform market research on smartphone features and pricing in India. Anyone interested in building data models or creating visualisations from cleaned smartphone data will find this resource valuable.

Dataset Name Suggestions

  • Indian Smartphone Market Data
  • Smartphone Features and Pricing India
  • India Mobile Phone Specifications
  • Smartphone Trends in India
  • Mobile Price Prediction Dataset

Attributes

Original Data Source:Mobile Price Prediction Dataset

Listing Stats

VIEWS

4

DOWNLOADS

1

LISTED

29/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format