Stack Overflow Developer Survey 2020 - Data Analysis

Table of Contents

1. Installation
2. Project Motivation
3. File Descriptions
4. Results
5. Acknowledgements

Installation

• This project was built using Anaconda version 1.9.12 and Python 3.6.

• Libraries used:

  pandas

  numpy

  matplotlib

  seaborn

  sklearn

Project Motivation

For this project, I was interestested in using Stack Overflow data from 2020 to answer:

1. Is age, gender and education level influence the frequency of new language learning?
2. Will developer who prefer to learn more new languages or frameworks has higher salary?
3. Which countries have higher learning new language rate?
4. Respondents who have stronger intention to learn more language or framework, will lead to higher work overtime?
5. Any difference of learn new language rate in the size of the organization?
6. Which are the major factors can be used to predict if the developer are passionate about new programming language or framework?

File Descriptions

• There is one iPython notebook Stack_overflow_survey.ipynb available to showcase work related to the above questions. The Data files are available here. 

Results

The main findings of the code can be found at the post available here.

Licensing, Authors, Acknowledgements

Thanks to Stack Overflow for the data and Udacity provided this topic. You can find the insigh for the data and other descriptive information from the link Stackoverflow 2020 Developer Survey.