Stack-overflow-trend

Analyzing the trends in Stack overflow

Table of Contents

1. Installation
2. Project Motivation
3. File Descriptions
4. Results
5. Licensing, Authors, and Acknowledgements

Installation

Stack overflow trend requires:

• Python (>= 3.6)
• the following libraries are needed to run the code:
  • numpy
  • pandas
  • matplotlib
  • seaborn

Project Motivation

Answering the question of possible trends in the Stack over-flow data regarding the tools used by the developers.

File Descriptions

The available notebook to prepare the data from stack-overflow-developer-surveys 2017-2020 for this analyse work. The notebook is created in Kaggle and the datas are inported from "Stack Overflow Developer Surveys (2017-2020)" There is a .ipynb data as a copy of the Notebook with nessesary codes and can be finde hier: here

Results

The findings and the resualts of the code is availble here

Licensing, Authors, Acknowledgements

The findings and the results of the code is available here