Design of Experiments; In Class Assignment 1

H-1B Visa Applications Analysis: Data: The data is to big to be added to github. It can be located at the following url: https://www.uscis.gov/tools/reports-and-studies/h-1b-employer-data-hub Overview: This project represents my first attempt at a real-world data analysis using R. The focus is on analyzing H-1B visa application trends from 2020 to 2024 using data from the U.S. Citizenship and Immigration Services (USCIS) H-1B Employer Data Hub. Project Highlights: Analysis of H-1B visa approval and denial rates over a 5-year period Visualization of trends using ggplot2 Statistical analysis including chi-square test for significance Exploration of geographical and industry-wise distribution of H-1B applications Key Findings: Increasing approval rates and decreasing denial rates over the study period Significant changes in H-1B processing trends (p-value < 2.2e-16) Top 5 states and industries for H-1B applications identified Data Source: The data used in this analysis is from the H-1B Employer Data Hub provided by USCIS. Tools Used R ggplot2 tidyverse knitr Future Improvements: As this is a first attempt, there are several areas for potential improvement: More advanced statistical analyses Interactive visualizations Deeper dive into industry-specific trends Time series analysis for better forecasting Feedback and Contributions: As a beginner in data analysis, I welcome any feedback, suggestions, or contributions to improve this project. Please feel free to open an issue or submit a pull request. Disclaimer: This project is for educational purposes and represents my learning journey in data analysis. The interpretations and conclusions should be considered preliminary.