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Stack-Overflow-Survey-Analysis

Overview

For this project, I explored the 2019 Stack Overflow Developer Survey, to gain some insights regarding the satisfaction level and salary trends among software developers.

My analysis revolved around the following questions:

  1. Which country has the highest job satisfaction for developers?

  2. Is there any variation in satisfaction rate between developers with an undergraduate degree in IT field vs non-IT field?

  3. Does the organization size impact the satisfaction level of employees?

  4. Do developers who contribute to open source projects have higher salaries?

Dataset

For this project, I'm using the 2019 Stack Overflow Annual Developer Survey, which can be found here, in the link 'Download Full Data Set (CSV) under the '2019' header.

In my case I stored the csv file in my Google Drive and accessed it as shown in the notebook through Google Colab.

Files

Jupyter Notebook - The full data exploration is contained in the notebook Stack-Overflow-Survey-Analysis.ipynb in this github repository.

Blog - I have also written an article in medium which can be accessed here.

Technologies Used

Google colab, Google Drive (to store the csv), Python and its libraries(Data Analysis), Medium (to write a blog post)

Acknowledgement

Stack Overflow and Stack Exchange, Inc.- for making their yearly developer survey public

Udacity - For the guidance and motivation to write my first data science blog post.

About

A survey analysis of Stack Overflow Developer Survey Results 2019.

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