Now we will look at dashboard. For dashboard, we used Power BI to visualize the data in an easier way so it may help the stakeholder to see and analyze the dataset better.
Relationship of the Respondent's Demographics on their Attitude Towards Retirement and Distress Level
For this page, we display the demographics of the respondents, distress level and attitude towards retirement. This will let the stakeholder to see the relationship of the demographics on attitude towards retirement and distress level.
Relationship between Attitude Towards Retirement and Self-Rate Health on Distress Level
This page displays the number of respondents according to financial distress level and attitude towards retirement. Number of respondents based on self-rate health and level of distress is also shown on this page. From this page, the stakeholder can see whether financial distress is influenced by attitude towards retirement, age and self rate health or not. The stakeholder can also know the number of respondents experience low financial distress and financial distress.
Effect on Financial Well Being on Distress Level
This page displays the number of respondents based on distress level and the average of age by financial well being. This will let the stakeholder to see how many respondents are experiencing financial distress and their financial well being status; either average, good, bad and others. Besides, the stakeholder can also see financial distress for every age group. By doing this, it will let the stakeholder to see the effect financial distress has on health.
Relationship of Financial Well Being, Self Care and Life Satisfaction
For this page, the stakeholder will be able to see the whether self care and financial well being has an effect on life satisfaction of one's or not. The stakeholder can also see life satisfaction according to age group. So, they can see which age group has higher satisfaction with their lives.