This project is based on KWAP dataset. The learning analytics will allow the MyAgeing and KWAP institutes to see the distribution of salary, financial well being, health and others among the government workers. Besides, through the data product and prediction, it can help workers who are going to retire to have a better idea either they are going to have high risk of having bad health or not. Same goes to financial status, they can know whether they are either going to experience high financial distress after retirement or low financial distress. In this way, they can do better preparation for the next few years after reitiring.
To do analytics and prediction model based on KWAP Dataset.
To predict the health and financial risks of the workers after retirement based on the respondents' data.
To predict the health and financial risks of the workers after retirement based on the respondents' data.
The MyAgeing and KWAP institutes can use this to EDA, descriptive and predictive analytics too see the data of the government workers if they plan to do some research and statistics regarding this. They can use the dashboard to see the data easily and efficiently. By using this project too, the MyAgeing and KWAP institutes can make a predictive data model for health status and financial level.
The workers can use the data product to see if they are going to have high or low financial distress and good health. The workers can insert their personal details such as age, salary, health, financial well being and others and the predictive model will give the results accordingly.
The MyAgeing and KWAP institutes will be able to make statistics report or research and analytics easily.
They are also able to see the data easily and efficiently.
They can make a predictive data model for their workers or any new product they plan to do.
The workers can know their financial and health level after retirement.
The workers can do a better preparation regarding their health and finances.
What is the effect financial status has on the well being of the workers?
What is the effect of respondents' demographics on attitude towards retirement?
What is the relation between respondents' demographics on distress level?
What is the relationship between financial well being, self care and life satisfaction?
How much does financial well being affect distress level?