Analysis_of_Fitness_Data_Project

The Project is of Analysis of Fitness Data. With the explosion in fitness tracker popularity, runners all of the world are collecting data with gadgets (smartphones, watches, etc.) to keep themselves motivated. They look for answers to questions like:

• How fast, long, and intense was my run today?
• Have I succeeded with my training goals?
• Am I progressing?
• What were my best achievements?
• How do I perform compared to others?

This data was exported from Runkeeper. The data is a CSV file where each row is a single training activity. In this project, you'll create import, clean, and analyze my data to answer the above questions. The RunKeeper dataset is a collection of fitness tracking data gathered from the RunKeeper app, which is designed for tracking various outdoor activities such as running, walking, cycling, and hiking. It contains information recorded by users during their workout sessions, including details like distance travelled, duration, speed, pace, elevation, calories burned, and GPS coordinates. The dataset is typically organized in a tabular format, with each row representing a single activity session and columns representing different attributes and measurements associated with that session. In addition to the numeric data, it may also include categorical information such as activity type, weather conditions, user demographics, and other user-provided tags. It contains 508 rows and 13 columns. The columns are Date, Activity ID, Type, Distance, Duration, Calories, Average Heart Rate, etc. The dataset is commonly used in research and analysis related to fitness tracking, physical activity, and sports analytics