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https://github.com/astrochun/uarizona-salary-app

Streamlit app to illustrate University of Arizona public salary data
https://github.com/astrochun/uarizona-salary-app

data-viz hacktoberfest heroku heroku-app pandas python salary-data streamlit university-of-arizona

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Streamlit app to illustrate University of Arizona public salary data

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README 

        
# uarizona-salary-app



Streamlit app to illustrate University of Arizona salary data.



Deployed as Heroku at: https://sapp4ua.herokuapp.com



**TL;DR:**


_This is a website providing public salary data for the University of

Arizona. It is a "Choose Your Own Data Science" tool, so just

explore with different "data views" on the sidebar!_



**More information:**


This site was developed to allow easy extraction, analysis, and interpretation of

salary data from the University of Arizona.


It is built and maintained by one volunteer, [Chun Ly](https://astrochun.github.io).



This code is built purely with open-source software, specifically

[`python`](https://python.org), [`streamlit`](https://streamlit.io/),

[`bokeh`](https://bokeh.org/), and [`pandas`](https://pandas.pydata.org/).



The source code is available

[on GitHub!](https://github.com/astrochun/uarizona-salary-app)



If you have suggestions or encounter an issue, please feel free to submit an

issue request [on GitHub](https://github.com/astrochun/uarizona-salary-app/issues)!



As this is open source, we welcome contributions by

[forking](https://github.com/astrochun/uarizona-salary-app/fork) the repository, and

submitting a pull request!



This app was developed because I felt it was an important issue that

requires greater transparency.


I maintain and develop this in my free time. With additional data, I hope to extend

this application's resources.



You can begin your data journey by selecting a "data view" on the sidebar:

    

 1. **Individual Search 🆕 : Find all salary data for individual(s)**

 2. Trends: General facts and numbers (e.g. number of employees,

    salary budget, etc.), for each fiscal year

 3. Salary Summary: Statistics and percentile salary data, includes salary histogram

 4. Highest Earners (Updated): Extract data above a minimum salary. Now you can select a given college/division

 5. College/Division Data: Similar to Salary Summary but extracted for each college(s)/division(s)

 6. Department Data: Similar to Salary Summary but extracted for each department(s)



Enjoy!


‐ Chun 🌵



**Sponsorship:**


If you find this website beneficial, please consider making a small

monetary donation either through GitHub or

[PayPal.Me](https://paypal.me/astrochun) (click on the Sponsor button).

This support ensures that this project will:



1. Grow to provide more data, tools, and visualizations, and

2. Continue to be an open-source transparent resource for our community.



_Your donations will be highlighted below._



This project has been sponsored by these gracious folks:



_Continued donors_:



1. [Casper da Costa-Luis](https://cdcl.ml/)



_One-time donors_:



1. John Moeller

2. Sedona Heidinger



**Sources:**


The salary data are made available from the [The Daily WildCat](https://www.wildcat.arizona.edu/).

Links are available for:



 1. [FY2019-20](https://docs.google.com/spreadsheets/d/e/2PACX-1vTaAWak0pN6Jnulm95eTM7kIubvNNMPgYh3d6sCHN5W1tekpIktoMBoDKJeZhmAyI7ZzH1BAytEp_bV/pubhtml)

    (Google Sheets). Extracted and converted to a machine-readable version by Michael Clarkson.

 2. [FY2018-19](https://docs.google.com/spreadsheets/d/1d2wLowmL5grmsqTj-qFg2ke9k--s1gN_oEZ6kstSX6c/edit#gid=0) (Google Sheets)

 3. [FY2017-18](https://docs.google.com/spreadsheets/d/1jFmxbDx6FP5qk5KKbFBJ5RvS0R2_HEoCkaw83P_DUG0/edit#gid=2006091355) (Google Sheets)

 4. FY2011-12, FY2013-14, FY2014-15, FY2015-16, FY2016-17:

    These data were made available by Dr. David Le Bauer, obtained from

    older records from The Daily Wildcat (Google Sheets are currently not available/public)

    

Inflation data shown on Wage Growth plots were obtained from the U.S. Bureau of

Labor Statistics using their

[Consumer Price Index (CPI) Inflation Calculator](https://www.bls.gov/data/inflation_calculator.htm).

Calculations were either over a 1- or 2-year period

(depending on prior year's data) and adopted FY start

(e.g., July 2017 to July 2018).