Employee Dataset Generation

This project generates an artificial employee dataset for a company, simulating various attributes such as gender, job position, salary, performance ratings, and more. The dataset is reproducible, ensuring consistent results when using the same index number (seed value).

Dataset Attributes:

• EmployeeID: Unique ID for each employee (e.g., E1001, E1002, ...)
• Gender: Gender of the employee (Male or Female)
• Age: Age of the employee (between 25 and 40)
• JobPosition: Job position of the employee (Software Engineer, Data Analyst, System Administrator, Project Manager)
• Salary: Salary of the employee (random values between 100,000 and 200,000)
• Department: Department the employee belongs to (IT, Finance, HR, Marketing)
• Bonus: Performance-based bonus (between 5,000 and 20,000)
• YearsExperience: Years of experience (between 1 and 15 years)
• PerformanceRating: Performance rating on a scale from 1 (Poor) to 5 (Excellent)
• RemoteWorkEligibility: Whether the employee is eligible for remote work (Yes/No)

Tasks Completed:

• Data generation using random values
• Summary statistics calculation for numeric variables
• Various subsets and group operations
• Data visualization (histograms, boxplots, scatter plot)
• Statistical analysis (correlation, regression model, confidence intervals)

How to Run:

• Install R and required packages (dplyr for grouping, ggplot2 for visualizations)
• Set a seed using your index number for reproducibility
• Run the R script to generate the dataset and perform analysis

Dataset Output:

The final dataset is saved as employee_data.csv.