Dataset

This dataset was created by Amogh Abhinav M.S

Released under Apache 2.0

Contents

Comprehensive dataset containing 28 verified Fitness center businesses in GP with complete contact information, ratings, reviews, and location data.

This dataset provides a simulated representation of membership data for a gym, crafted specifically for those interested in honing their skills in exploratory data analysis (EDA). The data is structured to facilitate the discovery of key membership patterns and trends, making it an ideal resource for exercises in data cleaning, visualization, and pattern recognition.

I needed a dataset of gym exercises, the muscles targeted by them, the equipment used and a brief description of each exercise for my project- however, I was unable to find a dataset like this anywhere- so I created one with data pulled from bodybuilding.com .

This dataset contains 470 gym exercises, links providing a description, the muscles targeted by them, the equipment used and a brief explanation of each equipment. Think of it as an all-you-need dataset either for any gym exercise related projects or for creating your workout program.

Happy Kaggling!

This dataset is a comprehensive list of gym exercises that can be used to improve your fitness. It includes exercises for all levels of fitness, from beginners to advanced. The dataset also includes information on the muscles worked by each exercise, the equipment needed, and how to do the exercise safely.

This dataset can be used to create a personalized workout routine that meets your individual fitness goals. You can use the information in the dataset to choose exercises that target the muscles you want to strengthen or tone. You can also use the information to find exercises that are safe for your fitness level.

The dataset is a valuable resource for anyone who wants to improve their fitness. It can be used by beginners to learn the basics of gym exercises, by intermediate exercisers to find new and challenging exercises, and by advanced exercisers to fine-tune their workouts.

Here are some additional tips for using the dataset:

Start with a few exercises and gradually add more as you get stronger. Listen to your body and don't push yourself too hard. Warm up before you start your workout and cool down afterwards. Stay hydrated by drinking plenty of water. Eat a healthy diet to support your fitness goals.

Comprehensive dataset containing 18 verified Fitness center businesses in LI with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 26 verified Fitness center businesses in MQ with complete contact information, ratings, reviews, and location data.

This dataset was created by myself. This dataset contains videos of people doing workouts. The name of the existing workout corresponds to the name of the folder listed.

Video format: .mp4 Some of the videos are muted

What is the videos resolution? The resolution of this video varies greatly, but I'm trying to find the best possible resolution so that you can lower the resolution according to what you will use later.

How about the duration of the videos? It also varies, but there is at least 1 rep on each video

What are the data sources? Mostly sourced from YouTube, but I also create some of it by myself with my friends

Need the extracted frame of each video? Try check my other dataset for the images of workout/exercise here

Comprehensive dataset containing 22 verified Fitness center businesses in CW with complete contact information, ratings, reviews, and location data.

Canada Anytime Fitness Locations Database in Excel – Verified Addresses & Postcodes 2025The Canada Anytime Fitness Locations Database 2025 is a verified, carefully curated, and regularly updated Excel directory of Anytime Fitness gyms, franchise outlets, and fitness clubs across Canada. From Tor...

This dataset contains historical open gym and open studio information. For current open gym schedules check out our website.This dataset is an archive - it is not being updated.

Comprehensive dataset containing 449 verified Fitness center businesses in RS with complete contact information, ratings, reviews, and location data.

Dataset

This dataset was created by RifqiLukmansyah

Contents

Comprehensive dataset containing 44 verified Fitness center businesses in ME with complete contact information, ratings, reviews, and location data.

The global functional training equipment market is experiencing robust growth, driven by the increasing awareness of the benefits of functional fitness and the rising popularity of holistic wellness programs. The market, valued at approximately $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This expansion is fueled by several key factors, including the increasing prevalence of chronic diseases, the growing adoption of fitness regimes focused on improving daily movement capabilities, and the rising disposable incomes in developing economies. The shift towards personalized fitness plans and the integration of technology in training equipment are further contributing to market expansion. Significant growth is observed in the segments of medballs, bars & plates, and adjustable benches, owing to their versatility and adaptability to diverse fitness levels. The home/individual application segment is experiencing exponential growth, driven by the convenience and cost-effectiveness of personal training setups. The market's growth is not without its challenges. High initial investment costs for equipment, particularly for commercial fitness facilities, can act as a restraint. Furthermore, the competition among numerous established and emerging players necessitates continuous innovation and strategic partnerships to maintain market share. However, the ongoing trend toward preventative healthcare and the increasing demand for customized fitness solutions are projected to mitigate these challenges. The increasing demand for specialized equipment within health clubs, corporate wellness programs, and hotels will further boost market growth. Geographically, North America and Europe currently hold the largest market share, but regions like Asia-Pacific are exhibiting significant growth potential, reflecting increasing fitness awareness and infrastructural developments. This in-depth report provides a comprehensive analysis of the global functional training equipment market, projected to reach $8.5 billion by 2028. It delves into key market segments, leading companies, emerging trends, and growth drivers, offering invaluable insights for industry stakeholders. The report leverages extensive primary and secondary research, encompassing data from leading manufacturers, industry experts, and market research databases. Keywords: functional fitness equipment, strength training equipment, fitness equipment market, gym equipment, home gym equipment, commercial gym equipment, workout equipment.

Dataset

This dataset was created by Elliott Amador

Released under Database: Open Database, Contents: Database Contents

Contents

Content

This dataset is the complete UK NHS (National Health Service) Hospital Database including geospatial data.

Acknowledgements

Data is available on the NHS website under the Open Government Licence.

Cover photo by Camilo Jimenez on Unsplash Unsplash Images are distributed under a unique Unsplash License.

• OrganisationID

• OrganisationCode

• OrganisationType

• SubType

• Sector

• OrganisationStatus

• IsPimsManaged

• OrganisationName

• Address1

• Address2

• Address3

• City

• County

• Postcode

• Latitude

• Longitude

• ParentODSCode

• ParentName

• Phone

• Email

34 Active Global Fitness Gym Equipments buyers list and Global Fitness Gym Equipments importers directory compiled from actual Global import shipments of Fitness Gym Equipments.

Comprehensive dataset containing 17 verified Fitness center businesses in TG with complete contact information, ratings, reviews, and location data.

Content

This dataset is listing of Multipurpose Senior Centers across the state which provide multiple services to New York’s senior citizens. AAAs (Area Agencies on Aging - local offices for the Aging) provide services at senior center locations either directly or through subcontract. Services may include but are not limited to congregate meals, health promotion, educational programs, recreation, etc.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated monthly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by rawpixel on Unsplash
Unsplash Images are distributed under a unique Unsplash License.