| Channel1 | report_dt_p1 | Metric | count | gross_amt | gross_amt_avg | fico | high_risk | fico_lt660 | ltv_gt90 |
| Emerging Banker | Mar2015 | STM | 268 | 99.39263 | 370.868 | 773.0039 | High Risk Categories | 0 | 0.01701761 |
| Emerging Banker | Apr2015 | STM | 206 | 74.67056 | 362.4784 | 770.9701 | High Risk Categories | 0.00691839 | 0.037584412 |
| Emerging Banker | May2015 | STM | 204 | 70.71112 | 346.6232 | 768.778 | High Risk Categories | 0.007555388 | 0.058201864 |
| Emerging Banker | Jun2015 | STM | 220 | 72.48243 | 329.4656 | 770.7628 | High Risk Categories | 0.002306766 | 0.030465647 |
| Emerging Banker | Jul2015 | STM | 261 | 85.40261 | 327.2131 | 764.0758 | High Risk Categories | 0.010602721 | 0.068190841 |
| Emerging Banker | Aug2015 | STM | 231 | 65.51545 | 283.6167 | 764.4192 | High Risk Categories | 0.008735344 | 0.094368355 |
| Emerging Banker | Sep2015 | STM | 328 | 98.53859 | 300.4225 | 766.0572 | High Risk Categories | 0.00046214 | 0.06103769 |
| Emerging Banker | Oct2015 | STM | 307 | 90.8371 | 295.8863 | 763.8919 | High Risk Categories | 0.007851968 | 0.07552668 |
| Emerging Banker | |||||||||
| Mar-15 | Apr-15 | May-15 | Jun-15 | Jul-15 | Aug-15 | ||||
| Metric | STM | STM | STM | STM | STM | STM | |||
| Count | 268 | 206 | 204 | 220 | 261 | 231 | |||
| Loan Amt ($M) | 99M | 75M | 71M | 72M | 85M | 66M | |||
| Avg Loan Amt ($K) | 371K | 362K | 347K | 329K | 327K | 284K | |||
| FICO | 773 | 771 | 769 | 771 | 764 | 764 | |||
| High Risk Categories | |||||||||
| % FICO <660 | 0.0% | 0.7% | 0.8% | 0.2% | 1.1% | 0.9% | |||
| % LTV >90 | 1.7% | 3.8% | 5.8% | 3.0% | 6.8% | 9.4% | |||
I am attempting to convert the above data into a transposed or tabulated summary. I am trying to determine the best way to handle this
Hi
In future, can you post test data as a datastep. You can use a simple tranpose on the data, and then process that into what you want:
data have;
input Channel1 $ report_dt_p1 $ Metric $ count gross_amt gross_amt_avg fico high_risk $ fico_lt660 ltv_gt90;
datalines;
Emerging_Banker Mar2015 STM 268 99.39263 370.868 773.0039 High_Risk_Categories 0 0.01701761
Emerging_Banker Apr2015 STM 206 74.67056 362.4784 770.9701 High_Risk_Categories 0.00691839 0.037584412
;
run;
proc transpose data=have out=want;
id report_dt_p1;
run;
data want;
set want;
length test $50;
array month{2} $50.;
select(_name_);
when('count') do;
test="Count";
month{1}=strip(put(mar2015,best.));
month{2}=strip(put(apr2015,best.));
end;
when('gross_amt') do;
test="Gross Amt";
month{1}=cats(put(ceil(mar2015),best.),"M");
month{2}=cats(put(ceil(apr2015),best.),"M");
end;
otherwise;
end;
I have only done a few of the conversions for you to give you an idea on how to go. Obviously you can shrink the code a bit by arraying the months for example.
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