Needs to be done in exactly 24 hours, Using Jupyter (Python) budget is 40$

Needs to be done in exactly 24 hours, Using Jupyter (Python) budget is 40$ The dataset [login to view URL] contains information on 1302 American colleges and universities offering an undergraduate program. For each university, there are 17 measurements that include continuous measurements (such as tuition and graduation rate) and categorical measurements (such as location by state and whether it is a private or a public school). 1. Remove all categorical variables. 2. Remove all records with missing numerical measurements from the dataset. 3. Conduct a principal components analysis on the cleaned data and comment on the results. 4- Should the data be normalized? 5- Discuss which components are key to your analysis.