This project presents an in-depth analysis of the Stack Overflow Developer Survey data. The analysis was conducted in a Jupyter Notebook, with outputs exported as an HTML file for easy viewing.
The analysis explores various aspects of the Stack Overflow Developer Survey, focusing on developer demographics, job satisfaction, career satisfaction, and salary distribution. This work aims to uncover trends and insights within the developer community, providing a data-driven perspective on key industry factors.
- stack_overflow_complete_analysis.ipynb: The Jupyter Notebook containing the complete analysis, including code cells, visualizations, and insights derived from the data.
- stack_overflow_complete_analysis.html: The HTML export of the Jupyter Notebook, which allows for easy viewing of the analysis without requiring Jupyter.
- survey_results_public.csv: The main dataset from the Stack Overflow Developer Survey, containing individual responses with columns for various demographics, job-related factors, and satisfaction levels.
- survey_results_schema.csv: The schema file for the dataset, describing the columns and providing definitions for each survey question and variable.
The dataset is sourced from Kaggle: Stack Overflow Developer Survey 2017.
To run the Jupyter Notebook (stack_overflow_complete_analysis.ipynb), you will need:
- Python 3.x
- Jupyter Notebook or JupyterLab
- Required libraries: