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Top 50 Fitness Exercises Dataset
Data Science and Analytics
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Free
About
Explore a curated list of the top 50 exercises designed to enhance physical fitness. This data provides key details for each exercise, including recommended sets, repetitions, targeted muscle groups, and estimated calorie burn. It is an ideal resource for developing fitness applications, creating personalised workout plans, or conducting analysis on exercise effectiveness.
Columns
- Name of Exercise: The common name for the exercise, serving as a unique identifier.
- Sets: The recommended number of sets to be performed for the exercise.
- Reps: The recommended number of repetitions to be performed within each set.
- Benefit: The primary health or fitness advantage gained from the exercise.
- Burns Calories (per 30 min): An estimation of the calories burned during a 30-minute session by an average person (155 lbs/70 kg).
- Target Muscle Group: The main muscle or group of muscles engaged during the exercise.
- Equipment Needed: Any equipment required to perform the exercise.
- Difficulty Level: The relative challenge of the exercise, typically categorised as beginner, intermediate, or advanced.
Distribution
The data is available in a tabular CSV file format with a size of 5 kB. It contains 50 records, each representing a unique exercise, and consists of 8 columns.
Usage
This data is well-suited for a variety of applications, including:
- Developing fitness tracking mobile apps or web platforms.
- Creating customised workout routines for personal training.
- Conducting exploratory data analysis to uncover trends in exercise science.
- Building data visualisations to compare exercise effectiveness.
- Powering recommendation engines for fitness and health services.
Coverage
The dataset focuses on 50 common fitness exercises without specific geographical or demographic limitations. The information is general and can be applied universally.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For exploratory analysis and building predictive models related to fitness outcomes.
- App Developers: To integrate structured exercise data into health and fitness applications.
- Fitness Professionals: To design evidence-based workout plans for clients.
- Students and Researchers: To study exercise patterns and their benefits.
- Fitness Enthusiasts: To create and track their personal workout schedules.
Dataset Name Suggestions
- Top 50 Fitness Exercises Dataset
- Workout Routine Planning Data
- Exercise & Fitness Analytics Guide
- Strength and Cardio Exercise Data
Attributes
Original Data Source: Top 50 Fitness Exercises Dataset
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