What is this data?
In this data set, we are looking at data from over 7,000 universities, colleges, and institutions from 2019. The data shows the perspective schools location, type of school, admission rates, ACT scores, student’s family incomes, cost of attendence and more. We get a good sense of what these schools are like financially and academically. As well as how big each school is.
Family Income and Type of School
## # A tibble: 2 × 2
## CONTROL `mean(FAMINC)`
## <chr> <dbl>
## 1 Private non-profit 61291.
## 2 Public 61963.Shown in the data, we see the information from public schools to private schools. In the chart above, I wanted to see the relationship between family income and what type of school people go to. Do students of private schools families have a higher family income when compared to public schools? I would have assumed that the higher family income would be from private schools students but I was wrong. The average family income of public school students is $61,962 and the mean of private school students is $61,290. This is about a difference of 670 dollars.
Data Visualization
For the graph shown below, I wanted to see if cost of attendance for a school has any impact on the average families income for the school. If the school is more expensive, are the students families more wealthy? The assumed answer would be yes, but I know some people who’s families have lots of money but their kids attend cheaper schools.
The graph shows that there isn’t a correlation between family income and cost of attendance for the school. As the average family income goes up for each institution, the cost of attendance is still the same as the majority. There is a large group of schools where their family income is lower but the cost to attend is high. This did not catch me off guard because some families want to get their children the best education possible for them.