Stackoverflow Analysis

Abstract

1. Introduction

This is the all in one place for documentation help regarding the postman challenge.

2. Objective

Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in future.

This project demonstrates how Jupyter Notebook, Machine Learning can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later with Jupyter Notebook / JupyterLab (or Google Colab)
• pip for dependencies
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/recodehive/Stackoverflow-Analysis.git
cd Stackoverflow-Analysis

1. Fork the project: Fork the sanjay-kv/Stackoverflow-Analysis repository. Follow these instructions on how to fork a repository.
2. Clone the project: git clone git@github.com:your-username/Stackoverflow-Analysis.git
3. Download the original data from the drive link.
4. Open Jupyter Notebook and place the file in the project folder. Make sure you're selecting the correct path.

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by recodehive and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.