Facebook
TwitterBy Tony Paul [source]
This dataset contains detailed information about Apple iPhones that have been sold in India. Each entry includes the product name, brand, sale price, maximum retail price (MRP), universal product code (UPC), number of reviews and ratings obtained from customers, discount percentage offered on various products, as well as the random access memory (RAM) size associated with each product. Dive into this comprehensive collection of Apple products for a better understanding of selling iPhone models in India and accurately capture insights about customer preferences and market trends!
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
Here is how to use this dataset effectively: - Start by exploring the headers of each column to understand the data features available in the dataset; you should be able to identify which columns contain what kind of data. - To get an overview of your data, calculate summary statistics such as means and standard deviations for numerical columns (e.g., Sale Price, Mrp etc.). - Visualize your data using a variety of techniques like histograms, scatter plots and correlation matrices - this will help you look for possible relationships between different variables. You may also consider creating pair plots that allow you to compare and visualize pairs of variables against each other at a glance. - Finally, start building models or perform exploratory analysis such as hypothesis testing with the help of various statistical methods or machine learning algorithms for further insights into the Apple iPhone sales in India!
- Developing an AI-based Product Recommender System using the attributes of Apple Iphones (e.g. price, discount percentage, ratings, reviews & RAM) for customers who are looking to purchase new Apple phone in India
- Creating a brand intelligence system that analyses the popularity of different Apple product models and rank them according to their performance over time
- Using Machine Learning to build a predictive model for forecasting sales patterns and predicting demand for future sales of Apple Iphones in India
If you use this dataset in your research, please credit the original authors. Data Source
Unknown License - Please check the dataset description for more information.
File: apple_products.csv | Column name | Description | |:------------------------|:--------------------------------------------------------------------------| | Product Name | The name of the Apple iPhone product. (String) | | Product URL | The URL of the product page. (String) | | Brand | The brand of the Apple iPhone product. (String) | | Sale Price | The price of the Apple iPhone product at the time of sale. (Numeric) | | Mrp | The maximum retail price of the Apple iPhone product. (Numeric) | | Discount Percentage | The percentage of discount offered on the Apple iPhone product. (Numeric) | | Number Of Ratings | The number of ratings given to the Apple iPhone product. (Numeric) | | Number Of Reviews | The number of reviews given to the Apple iPhone product. (Numeric) | | Upc | The universal product code of the Apple iPhone product. (String) | | Star Rating | The star rating of the Apple iPhone product. (Numeric) | | Ram | The Random Access Memory size of the Apple iPhone product. (Numeric) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Tony Paul.
Facebook
TwitterThe number of Apple iPhone unit sales dramatically increased between 2007 and 2024. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around **** million smartphones. By 2024, this number reached over ***** million units. The newest models and iPhone’s lasting popularity Apple has ventured into its 17th smartphone generation with its Phone ** lineup, which, released in September 2025, includes the **, ** Plus, ** Pro and Pro Max. Powered by the A19 bionic chip and running on iOS **, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of ***** U.S. dollars. On the other hand, they contribute to making Apple among the leading smartphone vendors worldwide, along with Samsung and Xiaomi. In the first quarter of 2024, Samsung shipped over ** million smartphones, while Apple recorded shipments of roughly ** million units. Success of Apple’s other products Apart from the iPhone, which is Apple’s most profitable product, Apple is also the inventor of other heavy-weight players in the consumer electronics market. The Mac computer and the iPad, like the iPhone, are both pioneers in their respective markets and have helped popularize the use of PCs and tablets. The iPad is especially successful, having remained as the largest vendor in the tablet market ever since its debut. The hottest new Apple gadget is undoubtedly the Apple Watch, which is a line of smartwatches that has fitness tracking capabilities and can be integrated via iOS with other Apple products and services. The Apple Watch has also been staying ahead of other smart watch vendors since its initial release and secures around ** percent of the market share as of the latest quarter.
Facebook
TwitterAttribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset contains detailed specifications and official launch prices of various mobile phone models from different companies. It provides insights into smartphone hardware, pricing trends, and brand competitiveness across multiple countries. The dataset includes key features such as RAM, camera specifications, battery capacity, processor details, and screen size.
One important aspect of this dataset is the pricing information. The recorded prices represent the official launch prices of the mobile phones at the time they were first introduced in the market. Prices vary based on the country and the launch period, meaning older models reflect their original launch prices, while newer models include their most recent launch prices. This makes the dataset valuable for studying price trends over time and comparing smartphone affordability across different regions.
Features:
Facebook
TwitterThis data from the result of a web scraping on Flipkart.com (India)
There's a story behind every dataset and here's your opportunity to share yours.
What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.
We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.
Your data will be in front of the world's largest data science community. What questions do you want to see answered?
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterBy Tony Paul [source]
This dataset contains detailed information about Apple iPhones that have been sold in India. Each entry includes the product name, brand, sale price, maximum retail price (MRP), universal product code (UPC), number of reviews and ratings obtained from customers, discount percentage offered on various products, as well as the random access memory (RAM) size associated with each product. Dive into this comprehensive collection of Apple products for a better understanding of selling iPhone models in India and accurately capture insights about customer preferences and market trends!
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
Here is how to use this dataset effectively: - Start by exploring the headers of each column to understand the data features available in the dataset; you should be able to identify which columns contain what kind of data. - To get an overview of your data, calculate summary statistics such as means and standard deviations for numerical columns (e.g., Sale Price, Mrp etc.). - Visualize your data using a variety of techniques like histograms, scatter plots and correlation matrices - this will help you look for possible relationships between different variables. You may also consider creating pair plots that allow you to compare and visualize pairs of variables against each other at a glance. - Finally, start building models or perform exploratory analysis such as hypothesis testing with the help of various statistical methods or machine learning algorithms for further insights into the Apple iPhone sales in India!
- Developing an AI-based Product Recommender System using the attributes of Apple Iphones (e.g. price, discount percentage, ratings, reviews & RAM) for customers who are looking to purchase new Apple phone in India
- Creating a brand intelligence system that analyses the popularity of different Apple product models and rank them according to their performance over time
- Using Machine Learning to build a predictive model for forecasting sales patterns and predicting demand for future sales of Apple Iphones in India
If you use this dataset in your research, please credit the original authors. Data Source
Unknown License - Please check the dataset description for more information.
File: apple_products.csv | Column name | Description | |:------------------------|:--------------------------------------------------------------------------| | Product Name | The name of the Apple iPhone product. (String) | | Product URL | The URL of the product page. (String) | | Brand | The brand of the Apple iPhone product. (String) | | Sale Price | The price of the Apple iPhone product at the time of sale. (Numeric) | | Mrp | The maximum retail price of the Apple iPhone product. (Numeric) | | Discount Percentage | The percentage of discount offered on the Apple iPhone product. (Numeric) | | Number Of Ratings | The number of ratings given to the Apple iPhone product. (Numeric) | | Number Of Reviews | The number of reviews given to the Apple iPhone product. (Numeric) | | Upc | The universal product code of the Apple iPhone product. (String) | | Star Rating | The star rating of the Apple iPhone product. (Numeric) | | Ram | The Random Access Memory size of the Apple iPhone product. (Numeric) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Tony Paul.