Data Engineering: The Code & Supply Compensation Survey Report

Code & Supply invested in building a data analysis and document authorship pipeline to produce its latest Compensation Survey Report. Building on its experience in previous iterations, C&S used Python, Jupyter notebooks, pandas, Polars, Plotly, pandoc, and many other tools to analyze responses from more than 800 people and produce a more than 100 page report. In this presentation, Colin Dean will discuss the survey and analysis effort, which can serve as an example of how to get started doing data science, building consistent data visualizations, and collaborating on a large scientific paper. Presented by Colin Dean & Alex Zharichenko https://www.meetup.com/pittsburgh-code-supply/events/298399851/