The Sunshine list is annual list includes public sector employees in Ontario who earned over $100,000 last year. The list is mandated by the Public Sector Salary Disclosure Act enacted by the Ontario government under Premier Mike Harris, with the first list released in 1996.
By analyzing public sector incomes for those employees who earned over $100,000 annually, we seek to determine if the yearly publication can be used to evaluate fairness in the Ontario workforce. In our analysis we will be using the data to determine trends based on salaries and gender. The sunshine list does not denote gender therefore we will use machine learning tools to predict gender.
The main language used through the project.
Datasets cleansing, filtering and merging to a single dataset for further analysis.
Used for exploratory analysis.
Used sklearn & nltk library for machine learning
Project Website development using html and JavaScript.
Project Website responsiveness and design.
We used kaggle consolidated dataset for Ontario Sunshine List 1996 to 2019 and appended the 2020 sunshine list to it.
We used employee wages by occupation annualy to compare public sector wages to private sector wages.
We used Consume Price Index (CPI) statistics to compare if consumer inflation over the years has been taken into account in the sunshine list wages.
Number of Ontarian employees on the sunshine list in year 2020