How sifat192/salaries_eda works
This repository is a small salary-data exploratory analysis, not a general software application. Its README describes using Python, Pandas, and Matplotlib to examine employee compensation and job-role patterns. The notebook and CSV are present, but no notebook source was provided, so the specific analysis steps and data flow cannot be verified beyond that description.
Main entry points: Salaries_eda.ipynb EDA notebook · Salaries.csv Salary data
Components 4
Salary analysis
- EDA notebook
Salaries_eda.ipynb - Salary data
Salaries.csv
Other components
- Pandas
- Matplotlib
Connections 3
- EDA notebook → Salary data: analyzes
README.md - EDA notebook → Pandas: uses
README.md - EDA notebook → Matplotlib: uses
README.md