Sandip2512 / Smartphones_Insights

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Mobile Data README

This repository contains a dataset of mobile phones, which was generated by web scraping and subsequently cleaned. The dataset includes the following columns:

  • brand: The brand of the mobile phone.
  • name: The name or model of the mobile phone.
  • price: The price of the mobile phone.
  • rating: The rating of the mobile phone.
  • has_5g: Indicates whether the mobile phone supports 5G connectivity.
  • has_nfc: Indicates whether the mobile phone has NFC (Near Field Communication) capability.
  • has_ir_blaster: Indicates whether the mobile phone has an infrared (IR) blaster.
  • processor_brand: The brand of the mobile phone's processor.
  • num_cores: The number of cores in the mobile phone's processor.
  • processor_speed: The speed of the mobile phone's processor.
  • Ram (GB): The amount of RAM (Random Access Memory) in gigabytes.
  • Rom (GB): The amount of ROM (Read-Only Memory) in gigabytes.
  • battery_capacity: The capacity of the mobile phone's battery.
  • fast_charging: Indicates whether the mobile phone supports fast charging.
  • fast_charging_available: Indicates whether fast charging is available out of the box or requires additional accessories.
  • display_size: The size of the mobile phone's display.
  • display_width: The width of the mobile phone's display.
  • display_height: The height of the mobile phone's display.
  • refresh_rate: The refresh rate of the mobile phone's display.
  • num_rare_cameras: The number of rear cameras on the mobile phone.
  • num_front_cameras: The number of front cameras on the mobile phone.
  • primary_rare_camera: The primary rear camera specification of the mobile phone.
  • primary_front_camera: The primary front camera specification of the mobile phone.
  • os: The operating system running on the mobile phone.
  • extended_memory (GB): The amount of extended memory available in gigabytes.
  • extended_memory_available: Indicates whether extended memory is available or not.

Usage

To use this dataset, you can download the provided CSV file and import it into your preferred data analysis or machine learning tool. The dataset is ready for analysis or further processing.

Data Source

The data in this repository was obtained by web scraping from various online sources. The scraping process involved extracting relevant information from web pages related to mobile phones. The data was then cleaned to ensure consistency and remove any irrelevant or erroneous entries.

License

The dataset in this repository is made available under the Open Database License (ODbL). You are free to use, share, and modify the dataset, as long as you provide attribution to the original source and make any modifications available under the same license.

Contributing

If you have any suggestions, improvements, or additional data to contribute, please feel free to submit a pull request. Your contributions are greatly appreciated.

Happy analyzing!

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