# Summary Analysis of the 2017 GitHub Open Source Survey

**Authors:** R. Stuart Geiger

arXiv: 1706.02777 · 2017-06-14

## TL;DR

This paper provides a comprehensive high-level summary of the 2017 GitHub Open Source Survey, including statistical analyses and visualizations of survey responses.

## Contribution

It offers the first detailed statistical overview and visual analysis of the 2017 GitHub Open Source Survey data.

## Key findings

- Identified key trends in open source contributions in 2017.
- Presented detailed frequency and proportion analyses for survey questions.
- Visualized data through bar plots for better understanding.

## Abstract

This report is a high-level summary analysis of the 2017 GitHub Open Source Survey dataset, presenting frequency counts, proportions, and frequency or proportion bar plots for every question asked in the survey.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1706.02777/full.md

## Figures

40 figures with captions in the complete paper: https://tomesphere.com/paper/1706.02777/full.md

## References

11 references — full list in the complete paper: https://tomesphere.com/paper/1706.02777/full.md

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Source: https://tomesphere.com/paper/1706.02777