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Table of Contents

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

Installation

There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.

Project Motivation

For this project, I was interestested in using Stack Overflow data from 2018 to better understand:

  1. What differs in being a Developer at 40's?
  2. What can a developer at 40's do to improve Job Satisfaction and/or Salary?
  3. What are the key factors that can predict salary in this age group?

Please send other suggestions for questions to: aagissp@gmail.com

File Descriptions

There is one notebook that provides visualizations and code to answer these questions.

Results

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

Licensing, Authors, Acknowledgements

Must give credit to Stack Overflow for the data. You can find the Licensing for the data and other descriptive information (https://insights.stackoverflow.com/survey/2018/). Otherwise, feel free to use the code here as you would like!

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Findings from Stackoverflow 2017

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  • Jupyter Notebook 100.0%