My Input table:
inp_status_ds | Selected_082018 | Selected_082218 |
Bound | $134,104,152.35 | $132,159,545.67 |
Declined | $1,277,887,802.55 | $1,277,916,876.55 |
Deleted | $1,843,298.56 | $1,843,298.56 |
In Progress | $890,400,353.32 | $890,400,353.32 |
TOTAL | $2,954,563,587.84 | $2,952,648,055.16 |
Lost | $624,359,889.70 | $624,359,889.70 |
Quoted | $25,968,091.35 | $25,968,091.35 |
I want my output table:
inp_status_ds | Selected_082018 | Selected_082218 |
Bound | $134,104,152.35 | $132,159,545.67 |
Declined | $1,277,887,802.55 | $1,277,916,876.55 |
Deleted | $1,843,298.56 | $1,843,298.56 |
In Progress | $890,400,353.32 | $890,400,353.32 |
Lost | $624,359,889.70 | $624,359,889.70 |
Quoted | $25,968,091.35 | $25,968,091.35 |
TOTAL | $2,954,563,587.84 | $2,952,648,055.16 |
Post test data in the form of a datastep, as such this is untested:
data want; set have (where=(inp_status_ds ne "TOTAL")) have (where=(inp_status_ds="TOTAL")); run;
For this particular set of data, you could use:
proc sort data=have;
by inp_status_ds;
run;
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.