BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Lacona
Quartz | Level 8

 

Hey all,

I have this dataset:

Beob.

score

author

1

58.2

Clancy

2

73.4

Clancy

3

73.1

Clancy

4

64.4

Clancy

5

72.7

Clancy

6

89.2

Clancy

7

43.9

Clancy

8

76.3

Clancy

9

76.4

Clancy

10

78.9

Clancy

11

69.4

Clancy

12

72.9

Clancy

13

85.3

Rowling

14

84.3

Rowling

15

79.5

Rowling

16

82.5

Rowling

17

80.2

Rowling

18

84.6

Rowling

19

79.2

Rowling

20

70.9

Rowling

21

78.6

Rowling

22

86.2

Rowling

23

74

Rowling

24

83.7

Rowling

25

69.4

Tolstoy

26

64.2

Tolstoy

27

71.4

Tolstoy

28

71.6

Tolstoy

29

68.5

Tolstoy

30

51.9

Tolstoy

31

72.2

Tolstoy

32

74.4

Tolstoy

33

52.8

Tolstoy

34

58.4

Tolstoy

35

64.5

Tolstoy

36

73.6

Tolstoy

 

I have to divide it into three columns, one Clancy, one Rowling and one Tolstoy, with the corresponding scores underneath each Author.

How do I do that?

Thank you!

1 ACCEPTED SOLUTION

Accepted Solutions
novinosrin
Tourmaline | Level 20

Hi @Lacona 

 




data have;
input Beob	score	author $;
cards;
1	58.2	Clancy
2	73.4	Clancy
3	73.1	Clancy
4	64.4	Clancy
5	72.7	Clancy
6	89.2	Clancy
7	43.9	Clancy
8	76.3	Clancy
9	76.4	Clancy
10	78.9	Clancy
11	69.4	Clancy
12	72.9	Clancy
13	85.3	Rowling
14	84.3	Rowling
15	79.5	Rowling
16	82.5	Rowling
17	80.2	Rowling
18	84.6	Rowling
19	79.2	Rowling
20	70.9	Rowling
21	78.6	Rowling
22	86.2	Rowling
23	74	Rowling
24	83.7	Rowling
25	69.4	Tolstoy
26	64.2	Tolstoy
27	71.4	Tolstoy
28	71.6	Tolstoy
29	68.5	Tolstoy
30	51.9	Tolstoy
31	72.2	Tolstoy
32	74.4	Tolstoy
33	52.8	Tolstoy
34	58.4	Tolstoy
35	64.5	Tolstoy
36	73.6	Tolstoy
;

proc transpose data=have out=temp;
by author;
var score;
run;
proc transpose data=temp out=want(drop=_name_);
by _name_;
var col:;
id author;
run;

View solution in original post

8 REPLIES 8
novinosrin
Tourmaline | Level 20

Hi @Lacona 

 




data have;
input Beob	score	author $;
cards;
1	58.2	Clancy
2	73.4	Clancy
3	73.1	Clancy
4	64.4	Clancy
5	72.7	Clancy
6	89.2	Clancy
7	43.9	Clancy
8	76.3	Clancy
9	76.4	Clancy
10	78.9	Clancy
11	69.4	Clancy
12	72.9	Clancy
13	85.3	Rowling
14	84.3	Rowling
15	79.5	Rowling
16	82.5	Rowling
17	80.2	Rowling
18	84.6	Rowling
19	79.2	Rowling
20	70.9	Rowling
21	78.6	Rowling
22	86.2	Rowling
23	74	Rowling
24	83.7	Rowling
25	69.4	Tolstoy
26	64.2	Tolstoy
27	71.4	Tolstoy
28	71.6	Tolstoy
29	68.5	Tolstoy
30	51.9	Tolstoy
31	72.2	Tolstoy
32	74.4	Tolstoy
33	52.8	Tolstoy
34	58.4	Tolstoy
35	64.5	Tolstoy
36	73.6	Tolstoy
;

proc transpose data=have out=temp;
by author;
var score;
run;
proc transpose data=temp out=want(drop=_name_);
by _name_;
var col:;
id author;
run;
Lacona
Quartz | Level 8

With proc transpose, my data looks like this:

Clancy       score.    score.    score
Rowling     score.   score.    score
Tolstoy      score.   score.    score


But I want my new dataset look like this:

Clancy   Rowling   Tolstoy

score.    score.      score

score.    score.      score

score.    score.      score 

...

novinosrin
Tourmaline | Level 20

Did you test/run the double transpose code?

Lacona
Quartz | Level 8

My foult! Somehow I ran just the first transpose data.
Now I tried again and it works perfectly! 

Thank you so much!

Reeza
Super User
How does Beob come into play? Is it relevant? If not, do you have any other values to identify your new rows?
Tom
Super User Tom
Super User

Is there any variable that sets the order of the results? Like a date variable?

Otherwise how do you know which values of CLANCY should be paired with which values of ROWLING?

ballardw
Super User

If by any chance you wanted a report that people read and maintains the order of the scores:

 

data have;
input Beob	score	author $;
cards;
1	58.2	Clancy
2	73.4	Clancy
3	73.1	Clancy
4	64.4	Clancy
5	72.7	Clancy
6	89.2	Clancy
7	43.9	Clancy
8	76.3	Clancy
9	76.4	Clancy
10	78.9	Clancy
11	69.4	Clancy
12	72.9	Clancy
13	85.3	Rowling
14	84.3	Rowling
15	79.5	Rowling
16	82.5	Rowling
17	80.2	Rowling
18	84.6	Rowling
19	79.2	Rowling
20	70.9	Rowling
21	78.6	Rowling
22	86.2	Rowling
23	74	Rowling
24	83.7	Rowling
25	69.4	Tolstoy
26	64.2	Tolstoy
27	71.4	Tolstoy
28	71.6	Tolstoy
29	68.5	Tolstoy
30	51.9	Tolstoy
31	72.2	Tolstoy
32	74.4	Tolstoy
33	52.8	Tolstoy
34	58.4	Tolstoy
35	64.5	Tolstoy
36	73.6	Tolstoy
;

data temp;
   set have;
   by notsorted author;
   if first.author then count=0;
   count+1;
run;

proc report data= temp;
   column count author,score;
   define count /group noprint;
   define author/across;
   define score / '';
run;
Ksharp
Super User
data have;
input Beob	score	author $;
cards;
1	58.2	Clancy
2	73.4	Clancy
3	73.1	Clancy
4	64.4	Clancy
5	72.7	Clancy
6	89.2	Clancy
7	43.9	Clancy
8	76.3	Clancy
9	76.4	Clancy
10	78.9	Clancy
11	69.4	Clancy
12	72.9	Clancy
13	85.3	Rowling
14	84.3	Rowling
15	79.5	Rowling
16	82.5	Rowling
17	80.2	Rowling
18	84.6	Rowling
19	79.2	Rowling
20	70.9	Rowling
21	78.6	Rowling
22	86.2	Rowling
23	74	Rowling
24	83.7	Rowling
25	69.4	Tolstoy
26	64.2	Tolstoy
27	71.4	Tolstoy
28	71.6	Tolstoy
29	68.5	Tolstoy
30	51.9	Tolstoy
31	72.2	Tolstoy
32	74.4	Tolstoy
33	52.8	Tolstoy
34	58.4	Tolstoy
35	64.5	Tolstoy
36	73.6	Tolstoy
;

data temp(index=(count));
   set have;
   by notsorted author;
   if first.author then count=0;
   count+1;
run;

proc transpose data=temp out=want(drop=_:);
by count;
id author;
var score;
run;

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

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.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 8 replies
  • 1274 views
  • 2 likes
  • 6 in conversation