https://www.kode24.no/artikkel/her-er-lonnstallene-for-norske-utviklere-2024/81507953
This project explores salary trends for Norwegian developers using R, data science, and machine learning. The goal is to explore what really drives salaries and bonuses by cleaning the data, spotting trends, and build a logistic regression model for bonus factor importance.
Data cleansing & prep
EDA – GGPLOT
Statistical analysis - correlation plots
Machine learning - Tuned logistic regression model
Below is a visualization of the estimated contributions of different factors to receiving a salary bonus, based on a tuned LASSO logistic regression model.
ROCAUC:0.72, which could be improved. Variable education was omitted due to no information to educational levels.