Flipkart Smartphones Dataset

Context:
This dataset contains information on a variety of smartphone models. The data is scraped from the e-commerce website flipkart.com and has been cleaned and processed for analysis. I used Pandas and BeautifulSoup libraries to scrape the data. I scraped data from a page 1 to 41 which was the maximum number that I was able to scrape.

Content:
The dataset contains information on over 800 smartphone models from various brands including Apple, Samsung, Xiaomi and more. The dataset includes the following attributes:

Attributes -

1. brand: The brand of the smartphone, such as Samsung, Apple, Xiaomi, etc.
2. model: The name and model number of the smartphone, such as iPhone 12, Samsung Galaxy A33, Redmi Note 10, etc.
3. colour: The colour of the smartphone, such as sandy gold, sunrise blue, etc.
4. original_price: The original price of the smartphone in Indian rupees (INR) before any discounts.
5. discounted_price: The discounted price of the smartphone in INR after any discounts or promotions.
6. ratings: The average rating of the smartphone by customers on the Flipkart website, on a scale of 1 to 5 stars.
7. rating count: The number of ratings given by customers on the Flipkart website for the smartphone.
8. reviews: The text reviews given by customers on the Flipkart website for the smartphone.
9. memory: The amount of RAM memory included in the smartphone measured in gigabytes (GB).
10. storage: The amount of internal storage included in the smartphone measured in gigabytes (GB).
11. processor: The type and speed of the processor included in the smartphone, such as Qualcomm Snapdragon 888, Apple A14 Bionic, etc.
12. rear_camera: The number and specifications of the rear cameras included in the smartphone, such as 48 MP + 12 MP + 5 MP, etc.
13. front_camera: The number and specifications of the front camera included in the smartphone, such as 20 MP, etc.
14. display_size: The diagonal size of the smartphone screen measured in centimeters (cm).
15. battery_capacity: The capacity of the smartphone battery measured in milliampere-hours (mAh).
16. battery_type: The type of battery included in the smartphone, such as lithium-ion (Li-Ion), lithium-polymer (Li-Po), etc.

Note: Some attributes may be missing for certain smartphone models, depending on the information available on the Flipkart website.

Potential Uses:
This dataset can be used for a variety of purposes, including market analysis, product development, and pricing strategy. It could also be used to train machine learning models for predicting smartphone prices or classifying smartphones based on technical specifications.

Limitations:
As the data is collected from a single source, it may not include all smartphones in the market. Also, the pricing information may not reflect current market conditions.

Acknowledgment:
I would like to thank the Flipkart website ("https://www.flipkart.com/search?q=smartphones") for providing the data used in this dataset.