https://github.com/chriscarini/levelsfyi-top-pay-by-level
Visualizing data from Levels.fyi's "End of Year Pay Reports"
https://github.com/chriscarini/levelsfyi-top-pay-by-level
bar-chart bump-chart data-visualization end-of-year-pay-reports levels-fyi salary-analysis salary-data
Last synced: 7 months ago
JSON representation
Visualizing data from Levels.fyi's "End of Year Pay Reports"
- Host: GitHub
- URL: https://github.com/chriscarini/levelsfyi-top-pay-by-level
- Owner: ChrisCarini
- Created: 2025-01-06T00:17:20.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-12T16:35:47.000Z (9 months ago)
- Last Synced: 2025-01-12T17:33:15.437Z (9 months ago)
- Topics: bar-chart, bump-chart, data-visualization, end-of-year-pay-reports, levels-fyi, salary-analysis, salary-data
- Language: HTML
- Homepage: https://chriscarini.github.io/levelsfyi-top-pay-by-level/
- Size: 329 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# levelsfyi-top-pay-by-level
This repository contains information about the "Top Pay by Level" based data from [Levels.fyi](https://levels.fyi)'s "End of Year Pay Reports".
## 📣 Background
The data from Levels.fyi is a great resource for understanding the compensation landscape in the tech industry. The data is crowdsourced, and is a great way to understand what the 'market rate' is for a given role.
This repository simply takes public data from Levels.fyi's "End of Year Pay Reports" and visualizes the data in a different way for easy comparison.
## 🤝 Contributing
This repository welcomes contributions. If you have an idea for a visualization, or a different way to present the data, feel free to open an issue to start the conversation, and if you wish, a PR with the respective code change.
## 🔄 Data
The data used in this repository is sourced from Levels.fyi's "End of Year Pay Reports". The data is publicly available, and can be found at the following links:
- [2024](https://www.levels.fyi/2024/)
- [2023](https://www.levels.fyi/2023/)
- [2022](https://www.levels.fyi/2022/)
- [2021](https://www.levels.fyi/2021/)
- [2020](https://www.levels.fyi/2020/)
- [2019](https://www.levels.fyi/2019/)
- [2018](https://www.levels.fyi/2018/)
Each year a `Top Pay by Software Engineering Level` section exists, and is broken down by level of engineer - starting in 2022, additional roles in 'tech' have started to be included as well.
To generate the graphs in this repository, @ChrisCarini has gone through and collected the data from each year into `data.csv` in this repository.
## 📋 TODO
- [ ] Create a script that scrapes the data from Levels.fyi
## 📚 Notes
Below are notes for my own consumption.
1. It was a pain to figure out the name of the chart I was looking for; below are some names I came across, but none seem to be the definitive name
1. Bump Chart
2. Rank Chart
3. Ranking Plot
4. Pareto chart
5. Slopegraph
6. Parallel coordinate plot
### 📖 Resources
_Below is mostly a laundry list of the tabs I have open. Lots of them might be 'useful-ish' tabs that were me capturing graphs/visuals that were _semi-close_ to what I was looking for._
- https://chartexpo.com/charts/slope-chart
- https://python-graph-gallery.com/parallel-plot/
- https://python-graph-gallery.com/501-parallel-plot-seaborn/
- https://www.juiceanalytics.com/writing/parallel-coordinates
- https://www.analyticsvidhya.com/blog/2021/11/visualize-data-using-parallel-coordinates-plot/
- https://www.data-to-viz.com/graph/parallel.html
- https://en.wikipedia.org/wiki/Parallel_coordinates
- https://stephanieevergreen.com/ranking-data-in-excel/
- https://www.quanthub.com/data-storytelling-charts-for-displaying-ranks/
- https://github.com/apache/echarts
- https://echarts.apache.org/examples/en/editor.html?c=bump-chart
- https://echarts.apache.org/examples/en/editor.html?c=parallel-simple
- https://echarts.apache.org/examples/en/editor.html?c=parallel-aqi
- https://echarts.apache.org/examples/en/editor.html?c=parallel-nutrients
- https://echarts.apache.org/examples/en/editor.html?c=scatter-matrix
_Below are some of the useful links for getting the data from Levels.fyi - they contain the HTML pages, as well as the PDFs that Levels.fyi generated._
- **_example year:_** 2023
- https://www.levels.fyi/2023/
- https://www.levels.fyi/assets/pdfs/2023Report.pdf
- https://www.levels.fyi/2023/download.html