Stackoverflow Analysis Guidelines

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

👨‍💻 Demo Video

Final.video.mp4

👇 Prerequisites

Before installation, please ensure you have the following tools installed:

• Git - Learn Git step-by-step by following the instructions provided here.
• Anaconda
• Jupyter Package

🛠️ Installation Steps

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 [email protected]: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.

Development

We welcome contributions from all levels of experience. If you think the community would benefit from being walked through the steps you're going through, please share! ❤️

Finding Insights from Stack Overflow Developer Survey

Objective:

To perform analysis on the last 3 years of Stack Overflow data to gain insights into developer trends and behaviors.

Goals:

• Analyze the impact of higher education, experience, and responsibilities on salary and gender inequalities.
• Investigate participation rates based on ethnicity and differences in income between men and women.
• Explore the popularity of programming languages and predict their growth based on survey responses.
• Examine the impact of education, experience, and responsibilities on gender inequalities.
• Analyze the increase in popularity of a language in the current year due to developer interest in the previous year.

Data Source and Background:

The dataset comes from the annual Stack Overflow developer survey, covering responses from developers in 180 countries. The data is available in CSV format, ranging from 40 to 150 MB, with responses from 1.5 Lakh survey participants.

Data Format:

The data is in a CSV file format with 252,199 observations and 62 variables.

Expected Work:

• Perform data wrangling tasks, including handling null values and converting data for analysis.
• Use techniques such as machine learning algorithms and data visualization to extract insights.

👨‍💻 Contributing

• Contributions are greatly appreciated. Check out our Contribution Guidelines

🛡️ License

This project is licensed under the MIT License - see the LICENSE file for details.

💪 Thanks to all Contributors

Thanks to all contributors for helping this project grow! 🍻

🙏 Support

Don't forget to leave a star ⭐️ for this project!

Crafted with ♥ by @sanjay-kv.

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Here's a link to the project wiki: Stackoverflow Analysis Wiki