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.

logos para reportes de la unidad de estadisticas O'Higgins