In this project, we will explore data quickly through visualizations using pandas plotting functionality along with the Jupyter notebook interface.
We will be working with a dataset on the job outcomes of students who graduated from colleges between 2010 and 2012. The original data on job outcomes was released by American Community Survey, which conducts surveys and aggregates the data. FiveThirtyEight cleaned the original dataset and released it on their github.
Using visualizations, we can start to explore questions from the dataset such as:
- Do students in more popular majors make more money?
- How many majors are predominantly male?
- Which category of majors have the most students?