Monthly Archives: April 2016
In Class Exercise – Clustering in R
Here is the exercise.
And here are the supporting files. Remember, download them to your computer by right-clicking and selecting Save As…
- The R script you’ll need: Clustering.r
- The data file you’ll need: Census2000.csv
Weekly Question #5
Leave your response as a comment on this post by the beginning of class on April 11, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class! If you sign in using your AccessNet ID and password you won’t have to fill in the name, email and captcha fields when you leave your comment.
Answer one of the two questions below (not both):
- Name and describe a business question that you could answer using a decision tree. What data would you collect to perform the analysis? Don’t use an example we’ve covered in class.
- What advice would you give someone regarding how to select the right predictor variables for a decision tree analysis?
Assignment #7 – Decision Trees in R
Here is the assignment and Assignment #7 – Decision Trees in R ANSWER SHEET (in Word format).
Here is the data file you’ll need [BankLoan.csv].
Note: If you try to open this file in Excel, you’ll get two error dialogs. The file is fine. Just click “Yes” and “OK” and the file will open.
Another note: Make sure you’ve included ALL the attachments (check the assignment instructions) as separate files or you will not receive credit for the assignment. Please do not send me a ZIP or RAR file!
This assignment is due on 4/11 by the start of class.