Analysis of Developer Survey (stackoverflow)

💡 To better understand and navigate the code, it is recommended to download it and run it on your computer

Table of Contents

1. Data sources
2. Tech/Framework
3. Project Motivation
4. File Descriptions
5. About me

🗂️ Data sources

• The original data is more than 500 MB, to download please go to Stack Over Flow Annual Developer Survey and choose the dataset you need.

🦾 Tech/Framework

• This project is built using Python (3.9.4) version and jupyter notebook (6.4.11).

• Libraries used:

  Pandas (1.4.2)

  Numpy (1.22.3)

  Matplotlib (3.5.2)

🎯 Project Motivation

My goals:

• Thorough study of the python.
• Study of data analysis
• Getting to know Python libraries better
• Refine my existing skills
• Acquire new skills and experience
• Create a new project for my Portfolio

For this project, I was interestested in using Stack Overflow data to better understand:

• What are the distributions of women with respect to country, ethnicity, level of education, etc.
• What are the most popular types of development/languages.
• What factors associate with high salary, eg. type of development, education level, etc.?
• People with what skills earn more?

📄 File Descriptions

Each ipynb file processes specific year data.

Each file contains 3 large sections, namely:

• import some Required libraries and data In this section we will import the libraries and data to be used in the future.

• Create functions for data processing In this section we will create the functions which help us to calculate data and create Bar Chart.

• Data processing with a certain classification This section deals directly with data processing

ℹ️ About me:

• Linkedin : https://www.linkedin.com/in/anri-tvalabeishvili/
• Facebook : https://www.facebook.com/Anri.Tvalabeishvil
• Github : https://github.com/anri-Tvalabeishvili
• stackoverflow : https://stackoverflow.com/users/17742066/anri-tvalabeishvili