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India Bike Market Data with Reviews Dataset

Data Science and Analytics

Tags and Keywords

Retail

Data

Nlp

India

Categorical

Marketing

Cycling

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India Bike Market Data with Reviews Dataset Dataset on Opendatabay data marketplace

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About

This dataset, titled "Indian Bike Features and Reviews Dataset", is a detailed collection of information related to various bikes available in the Indian market, encompassing both domestic and international brands. It includes essential features and customer reviews, serving as a valuable resource for individuals, researchers, and businesses interested in the Indian automotive industry. The inspiration behind its creation was to offer a centralised and accessible repository of bike information for enthusiasts, analysts, and data scientists. Understanding the features and public perception of various bikes can assist in market analysis, consumer preferences, and informed decision-making within the automotive industry. This dataset empowers researchers and data enthusiasts to perform insightful analyses and gain valuable insights into the Indian bike market.

Columns

  • Bike make and model: Identifies the manufacturer and specific model of the bike.
  • Detailed bike features: Includes technical specifications and characteristics.
    • variant_name: The specific model variant of the bike.
    • On-road prize: The price of the bike, including taxes and any additional charges.
    • Engine Type: Describes the type of engine, such as a 4-stroke or 2-stroke engine.
    • Displacement: The engine's size and capacity, measured in cubic centimetres (cc).
    • Max Torque: The maximum twisting force the engine can generate.
    • No. of Cylinders: The number of cylinders in the engine, which can affect performance and fuel efficiency.
    • Cooling System: The method used to cool the engine, typically air-cooled or liquid-cooled.
    • Valve Per Cylinder: The number of valves in each cylinder, influencing engine efficiency and power.
    • Starting: The method used to start the bike, such as electric start, kick start, or both.
    • Fuel Supply: The fuel delivery system employed by the bike, either carbureted or fuel-injected.
  • Customer reviews and ratings: Provides public perception and feedback on the bikes.

Distribution

The dataset is typically provided in a CSV file format. While specific total row counts are not detailed, the dataset contains information indicating various unique values and label counts for different features. For example, there are 577 unique variant names, and on-road prices range from approximately 53,200 to 8.85 million. Distributions for engine types, displacement sizes, maximum torque values, cylinder counts, cooling systems, valves per cylinder, starting methods, and fuel supply systems are also included, showing the prevalence of different characteristics within the dataset.

Usage

This dataset is ideal for:
  • Market analysis: Understanding trends and consumer preferences within the Indian automotive industry.
  • Consumer insights: Aiding individuals in making informed decisions when purchasing bikes.
  • Product development: Businesses can leverage insights for new product strategies.
  • Research: Conducting academic studies on the Indian bike market.
  • Data science projects: Practising data analysis, natural language processing (NLP) on reviews, and predictive modelling.

Coverage

The dataset focuses on the Indian market, including both domestic and international bike brands available in India. The data was meticulously scraped and curated from BikeDekho, a prominent website specialising in bike information. The dataset was listed on 17/06/2025, suggesting it reflects current or recent market offerings and reviews. It provides insights into the present state of the Indian bike industry.

License

CC0

Who Can Use It

  • Individuals: For personal research on bike features and public opinion before a purchase.
  • Researchers and Academics: To conduct studies on automotive market dynamics, consumer behaviour, and product trends in India.
  • Businesses: Particularly those in the automotive sector, for market analysis, competitive intelligence, and strategic decision-making.
  • Data Analysts and Data Scientists: For developing models related to pricing, feature importance, sentiment analysis from reviews, and demand forecasting.
  • Cycling Enthusiasts: To explore detailed specifications and user feedback on a wide array of bikes.

Dataset Name Suggestions

  • Indian Motorcycle Specifications and Features
  • India Bike Market Data with Reviews
  • BikeDekho India Dataset
  • Indian Two-Wheeler Features and Reviews

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

17/06/2025

REGION

ASIA

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format