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Used Handheld Device Pricing Data
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About
This dataset provides sample pricing data for analysis of refurbished used handheld devices, including mobile phones and tablets. The market for used and refurbished devices has significantly expanded, offering cost-effective alternatives for both consumers and businesses. It also contributes to environmental sustainability by extending device longevity and reducing waste. The primary objective of this dataset is to facilitate Exploratory Data Analytics and enable the application of Linear Regression models to accurately price such devices. The data includes normalised new and used pricing, alongside various device specifications.
Columns
- device_brand: The name of the manufacturing brand for the device.
- os: The operating system installed on the device.
- screen_size: The physical size of the device's screen, measured in centimetres.
- 4g: A boolean indicator specifying whether the device supports 4G connectivity.
- 5g: A boolean indicator specifying whether the device supports 5G connectivity.
- rear_camera_mp: The resolution of the device's rear camera, expressed in megapixels.
- front_camera_mp: The resolution of the device's front camera, expressed in megapixels.
- internal_memory: The amount of internal storage (ROM) available on the device, in gigabytes.
- ram: The amount of Random Access Memory (RAM) in the device, in gigabytes.
- battery: The energy capacity of the device's battery, measured in milliampere-hours (mAh).
- weight: The weight of the device, in grams.
- release_year: The year when the specific device model was originally released.
- days_used: The number of days the used or refurbished device has been in use.
- normalized_new_price: A normalised price representation of a new device of the same model.
- normalized_used_price (TARGET): The normalised price of the used or refurbished device, serving as the target variable for pricing models.
Distribution
The dataset is provided as a CSV file named
used_device_data.csv. It has a size of 278.31 kB and contains 15 columns. The dataset includes 3454 records (rows) with detailed information across these columns.Usage
This dataset is ideally suited for:
- Performing Exploratory Data Analysis (EDA) to understand the characteristics and relationships within used device pricing data.
- Developing and applying Linear Regression models to predict or estimate the price of used and refurbished handheld devices.
- Analysing factors influencing the pricing of second-hand electronic devices.
- Supporting businesses and consumers in making informed decisions when buying or selling used devices.
- Investigating the market trends and value depreciation of handheld electronics.
Coverage
The dataset covers various device brands and operating systems. Device models included were released between 2013 and 2020. The
days_used attribute ranges from 91 days to 1094 days, providing a spectrum of device usage periods. The dataset represents a sample of normalised pricing data for used and new refurbished devices. Specific geographic or demographic scope is not detailed in the provided information.License
CC0: Public Domain
Who Can Use It
This dataset is beneficial for:
- Data Scientists and Machine Learning Engineers aiming to build predictive pricing models.
- Data Analysts and Researchers interested in market analysis of used electronics.
- Businesses involved in the second-hand device trade, for pricing strategies and inventory management.
- Consumers looking to understand factors affecting used device prices.
- Students and Beginners in data science seeking a practical dataset for learning EDA and regression techniques.
Dataset Name Suggestions
- Used Handheld Device Pricing Data
- Refurbished Mobile Device Valuation
- Second-Hand Phone & Tablet Price Prediction Dataset
- Handheld Device Resale Value Analysis
Attributes
Original Data Source: Used Handheld Device Pricing Data
QUALITY