Applicant-Distribution-Simulation

This R script performs Monte Carlo simulations on applicant data to estimate the most likely distribution of candidates across job titles and cities. The simulation randomly assigns cities and jobs to applicants over multiple iterations and calculates the average number of candidates expected in each city-job combination.

Loads applicant data from a CSV file

Runs configurable simulation iterations

Randomly assigns cities and job titles to applicants

Calculates frequencies for each city-job combination

Summarizes average counts across all simulations

Uses tidyverse for data manipulation and analysis

Requirements tidyverse