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Flipkart Fitness Tracker Product Analytics
Data Science and Analytics
Tags and Keywords
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"No reviews yet"
Free
About
This dataset features fitness tracker products tailored for the Indian market, presenting a detailed collection of different products from various brands [1]. It includes specifications, customer ratings, and reviews [1]. The data was gathered through web scraping from an e-commerce website, specifically Flipkart [1]. This dataset serves as an excellent resource for uncovering significant demand patterns for fitness trackers in India, identifying top brands for both fitness bands and smartwatches, and exploring correlations between pricing, product specifications, and customer satisfaction [2, 3]. It also enables analysis of diverse fitness tracker types and their respective price segments for different user profiles [3].
Columns
- Brand Name: Specifies the manufacturer of the fitness tracker [4].
- Device Type: Categorises the product as either a 'FitnessBand' or a 'Smartwatch' [4].
- Model Name: Denotes the specific variant or product name of the device [4].
- Color: Indicates the colour of the strap or body of the fitness tracker [4].
- Selling Price: The actual selling price or discounted price of the fitness tracker [4]. Prices range from approximately £1,200 to £122,000, with an average of £22,100 [5].
- Original Price: The initial price of the product set by the manufacturer [4]. Original prices span from about £1,600 to £122,000, averaging £25,400 [6].
- Display: A categorical variable showing the type of display, such as AMOLED, LCD, or OLED [4].
- Rating (Out of 5): Represents the average customer rating on a scale of 5 [2]. The average rating is 4.23, with some missing values [7].
- Strap Material: Details the material used for the strap of the fitness tracker [2].
- Average Battery Life (in days): The manufacturer's stated average battery life for the product [2]. The average battery life is approximately 9.03 days [8].
- Reviews: The total count of product reviews received [2]. This column has a notable number of missing values [9].
Distribution
The dataset is typically provided as a CSV file [3, 10]. It comprises 565 samples (records) and features 11 distinct attributes (columns) [1]. The file size is 55.34 kB [3]. It is important to note that the dataset contains some missing values, particularly in the 'Rating (Out of 5)' and 'Reviews' columns [1, 7, 9].
Usage
This dataset is ideally suited for:
- Market research into the demand and trends within the Indian fitness tracker sector [2].
- Competitive analysis for e-commerce businesses to understand product offerings and pricing strategies [3].
- Analysing correlations between product specifications, pricing, and customer feedback [3].
- Identifying different types of fitness trackers and their associated price points to cater to diverse user needs [3].
- Product development and feature prioritisation based on market preferences and user reviews.
Coverage
The dataset's geographic scope is focused on the Indian market [1]. The data was sourced from Flipkart, a prominent e-commerce platform [1]. The dataset represents a static snapshot as its expected update frequency is 'Never' [3]. It contains 565 product samples [1].
License
CC BY-SA 4.0
Who Can Use It
- Market analysts and researchers aiming to understand consumer behaviour and market dynamics in the Indian fitness tracker industry.
- E-commerce strategists looking for insights into product performance, pricing, and customer sentiment on platforms like Flipkart.
- Data scientists and analysts interested in performing exploratory data analysis, predictive modelling, or text analysis on product reviews.
- Students and academics conducting studies on consumer electronics markets, web scraping techniques, or data quality.
Dataset Name Suggestions
- Indian Fitness Tracker Market Data
- Flipkart Fitness Tracker Product Analytics
- India Smartwatch and Fitness Band Dataset
- E-commerce Wearables Data (India)
- Fitness Tracker Product Listings India
Attributes
Original Data Source: Flipkart Fitness Tracker Product Analytics
QUALITY