Credit Approval Data
This data consists of over 438,000 rows, where each row is a single person. The columns of this dataset are different characteristics about the individual person such as their gender, total income, and type of education to name a few.
Distribution of Total Income.
We can see that there are a decent number of people who have a total income amount over $100,000.
Total Income by Occupation Type for Males/Females
One of the interesting observations we can see is that male managers tend to make more than female managers. 
Family Size and Annual Income in various Housing Types
We see that only in the House/Apartment type of housing bigger families. Other housing types tend to have 5 or less. Also interesting to see that in the House/Apartment type of housing it looks like there are the most instances of higher Annual Income levels. Apartments and Living with Parents seem to have lower levels of annual income. 
Education Level and Income between Males and Females.
Males make a little bit more on average than females do when it comes to higher education. 
Single vs Married Annual Income
Married people have the a little higher annual income than single and widowed people. 