Decision Trees at PVA

For this TASK, you will work with a data set named PVA. It contains data that reflects charitable donations made to an American veterans' association. The data represents the results of a mail campaign to solicit donations. The data set contains the following information:

A flag to indicate respondents to the appeal and the dollar amount of their donations (Target Gift Flag and Target Gift Amount)
A respondents' PVA promotion and giving history,
Demographic data of respondents
For this practice, you are going to use the PVA data set to build a decision tree to classify those customers who donated. Complete following tasks and answer questions:

How many columns (variables) does that file contain?
How many Category variables does PVA have?
How many Measure variables doe PVA have?
How many observations represent those with Status Category 96NK = F?
How many customers did make donations during last campaign?
On what column does the top split occur?
What is the split point (value) that determines to which branch a customer belongs?
In which branch does the majority of customers fall at this split point?
How many customers were less than this value and belong to Node 2?
What proportion of the customers in Node 2 made donations?
Examine the last column to see whether there are any 100% donor nodes. If so, which node or nodes?
Can you use the node rules to describe the customers in Node 27 in laymen's terms?
Examine the Variable Importance table to see whether home ownership appears to be an important factor when you classify customers who make a donation?
Other than the two 100% nodes, which node has the next highest percentage of donors
Which node has the most customers?
Examine the lift chart. What can you determine about the top 10% (percentile) of the data?