The aim of this analysis is to uncover key insights into the movie industry by analyzing the distribution of movies over different decades, understanding the popularity and success of different genres, and recognizing patterns in the production of movies over time. This evaluation aims to help stakeholders such as filmmakers, producers, and marketers in making decisions based on data that match industry trends and audience preferences.

This document provides an analysis of Fitness Tracker Case Study data using R. The analysis covers data loading, cleaning, exploration, and visualization to understand activity patterns.

This case study analyzes the cycling data for the year 2023, focusing on various aspects of ride patterns, lengths, and user behavior. The analysis is structured into several steps, each designed to handle different facets of the data processing and analysis pipeline.