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

For my analysis, I would like to take a further dive into the Stack Overflow Developers Survey dataset and understand the answers that my fellow Latinx/Black community gave in the survey

Questions that I would like to answer:

1. “How many survey entries were from a Latinx or Black race-ethnicity?”
2. “Which top 5 countries had the most amount of Latinx participants?”
3. “Which top 5 countries had the most amount of Black or of African descent participants?
4. “How much did the salary increase from 2017–2018 for Latinx and Black folks?”
5. “What was the increase percentage of Latinx/Black participants with Bachelors’, Masters and Postdoctoral degrees?”

• Create a python3 virtual environment

  python3 -m venv ./venv

• Start virtual environment

  source venv/bin/activate

• Stop virtual environment

  deactivate

• Install project dependencies

  (virtual env must be started to install dependencies)

  pip install -r requirements.txt

• Start notebook

  jupyter notebook survey-analysis.ipynb

1. survey-analysis.ipynb - juypter notebook that contains my analysis of the 2019 Stack Overflow Developer Survey dataset
2. survey_results_public2017.csv - CSV file with main 2017 survey results, one respondent per row and one column per answer
3. survey_results_public2018.csv - CSV file with main 2018 survey results, one respondent per row and one column per answer
4. survey_results_schema.csv - CSV file with survey schema, i.e., the questions that correspond to each column name

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

Data is directly taken from StackOverflow and licensed under the ODbl license