Figure 4.2 shows a histogram of the loan-to-value ratios. The histogram reveals features of the ratio distribution, such as its skewness and the peak at 0.175, which are not evident from the tables in the previous example. The following statements create the histogram:
title 'Home Loan Analysis'; ods graphics on; proc univariate data=HomeLoans noprint; histogram LoanToValueRatio / odstitle = title; inset n = 'Number of Homes' / position=ne; run;
The ODS GRAPHICS ON statement enables ODS Graphics, which causes PROC UNIVARIATE to produce ODS Graphics output. (See the section Alternatives for Producing Graphics for information about traditional graphics and ODS Graphics.)
The NOPRINT option suppresses the display of summary statistics, and the ODSTITLE= option uses the title that is specified in the SAS TITLE statement as the graph title. The INSET statement inserts the total number of analyzed home loans in the upper right (northeast) corner of the plot.
The data set HomeLoans
contains a variable named LoanType
that classifies the loans into two types: Gold and Platinum. It is useful to compare the distributions of LoanToValueRatio
for the two types. The following statements request quantiles for each distribution and a comparative histogram, which are
shown in Figure 4.3 and Figure 4.4.
title 'Comparison of Loan Types'; ods select Histogram Quantiles; proc univariate data=HomeLoans; var LoanToValueRatio; class LoanType; histogram LoanToValueRatio / kernel odstitle = title; inset n='Number of Homes' median='Median Ratio' (5.3) / position=ne; label LoanType = 'Type of Loan'; run; options gstyle;
The ODS SELECT statement restricts the default output to the tables of quantiles and the graph produced by the HISTOGRAM
statement. The CLASS
statement specifies LoanType
as a classification variable for the quantile computations and comparative histogram. The KERNEL
option adds a smooth nonparametric estimate of the ratio density to each histogram. The INSET statement specifies summary
statistics to be displayed directly in the graph.
Figure 4.3: Quantiles for Loan-to-Value Ratio
Comparison of Loan Types |
Quantiles (Definition 5) | |
---|---|
Level | Quantile |
100% Max | 1.0617647 |
99% | 0.8974576 |
95% | 0.6385908 |
90% | 0.4471369 |
75% Q3 | 0.2985099 |
50% Median | 0.2217033 |
25% Q1 | 0.1734568 |
10% | 0.1411130 |
5% | 0.1213079 |
1% | 0.0942167 |
0% Min | 0.0651786 |
Comparison of Loan Types |
Quantiles (Definition 5) | |
---|---|
Level | Quantile |
100% Max | 1.312981 |
99% | 1.050000 |
95% | 0.691803 |
90% | 0.549273 |
75% Q3 | 0.430160 |
50% Median | 0.366168 |
25% Q1 | 0.314452 |
10% | 0.273670 |
5% | 0.253124 |
1% | 0.231114 |
0% Min | 0.215504 |
The output in Figure 4.3 shows that the median ratio for Platinum loans (0.366) is greater than the median ratio for Gold loans (0.222). The comparative histogram in Figure 4.4 enables you to compare the two distributions more easily. It shows that the ratio distributions are similar except for a shift of about 0.14.
A sample program for this example, univar1.sas, is available in the SAS Sample Library for Base SAS software.