Moved to https://github.com/kuutsav/leetcode-compensation

A dataset of global salaries in InfoSec/Cybersecurity.

Shiny App for Biology PhD Salary Benchmarking.

Data visualization of the state of developers in Malaysia

Streamlit app to illustrate University of Arizona public salary data

This repository contains a Python-based program designed to calculate employee salaries. It includes functionalities for inputting employee details, calculating gross and net salaries, and handling deductions or bonuses. Ideal for beginners learning Python or developers working on payroll-related applications.

A application that calculates real-time earnings per second based on monthly salary, working days, and hours. 所以我到底赚了多少钱

Automated Python script leveraging Pyppeteer to scrape Indeed for salary data, including aggregated salary statistics and details on top companies for specified job titles and locations.

An introductory DS (Data Science) project on calculating and predicting salaries for DS roles advertised on Glassdoor

A colorful bubble plot visualizing the relationship between salary and happiness scores. This project uses Seaborn’s scatterplot() with size and color mapping to represent multi-variable data in a clear and engaging way.

Visualizing data from Levels.fyi's "End of Year Pay Reports"

This project aims to provide NYC teachers with a comprehensive understanding of their expected annual salary growth, factoring in the impact of UFT salary contracts from 2015 to 2023.

Repositorio en el que se desarrollará el estudio, a nivel de España, sobre la influencia de diversos factores en la Necesidad de Atención Psicológica (NAT).

Salary analysis of data science and cyber security employees from 2020 to 2023

A collection of resources regarding tech pay, salary negotiation, and closing the pay gap.

salary-exploratory-data-analysis-with-machinelearning-data-kaggle

Project in Python

visualization using ds_salaries data

Application of gender package on Nevada salaries to add a gender column

The Salary Prediction App forecasts employee salaries based on years at the company, satisfaction level, and monthly hours worked. It uses a cleaned dataset and applies machine learning models like Linear Regression, Support Vector Regression, and Random Forest Regressor, with hyperparameter tuning done via GridSearchCV for improved accuracy.