I have the following table:
| ID | Type | Ratio |
| 4106 | CR | 1.4 |
| 4106 | IC | 2 |
| 4812 | CR | 1.3 |
| 5287 | IC | 5 |
| 7011 | CR | 1 |
| 7011 | IC | 1.5 |
| 7011 | TNW | 2.5 |
| 7849 | FC | 0.6 |
| 10261 | FC | 1 |
| 11057 | TNW | 0.75 |
| 11178 | CR | 1.5 |
| 11178 | IC | 3.75 |
| 11178 | TNW | 1.1 |
| 11452 | FC | 1.75 |
How do I summarize the data so I have one row per ID (want table).
| ID | CR | IC | TNW | FC |
| 4106 | 1.4 | 2 | ||
| 4812 | 1.3 | |||
| 5287 | 5 | |||
| 7011 | 1 | 1.5 | 2.5 | |
| 7849 | 0.6 | |||
| 10261 | 1 | |||
| 11057 | 0.75 | |||
| 11178 | 1.5 | 3.75 | 1.1 | |
| 11452 | 1.75 |
Do you need to do it using proc sql? Proc transpose was made for such tasks:
proc transpose data=have out=want (drop=_:);
by id;
id type;
var ratio;
run;
HTH,
Art, CEO, AnalystFinder.com
Do you need to do it using proc sql? Proc transpose was made for such tasks:
proc transpose data=have out=want (drop=_:);
by id;
id type;
var ratio;
run;
HTH,
Art, CEO, AnalystFinder.com
Thank you art.
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and save with the early bird rate—just $795!
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.
Ready to level-up your skills? Choose your own adventure.