Report using data _Null_ - sas

Question

I'm looking for report using SAS data step :
I have a data set:
Name Company Date
X A 199802
X A 199705
X D 199901
y B 200405
y F 200309
Z C 200503
Z C 200408
Z C 200404
Z C 200309
Z C 200210
Z M 200109
W G 200010
Report I'm looking for:
Name Company From To
X A 1997/05 1998/02
D 1998/02 1999/01
Y B 2003/09 2004/05
F 2003/09 2003/09
Z C 2002/10 2005/03
M 2001/09 2001/09
W G 2000/10 2000/10
THANK you,
Tried using proc print but it is not accurate. So looking for a data null solution.
data _null_;
set salesdata;
by name company date;
array x(*) from;
From=lag(date);
if first.name then count=1;
do i=count to dim(x);
x(i)=.;
end;
count+1;
If first.company then do;
from_date1=date;
end;
if last.company then To_date=date;
if from_date1 ="" and to_date="" then delete;
run;

Answer 1

data _null_;
set yourEvents;
by Name Company notsorted;
file print;
If _N_ EQ 1 then put
#01 'Name'
#06 'Company'
#14 'From'
#22 'To'
;
if first.Name then put
#01 Name
#; ** This instructs sas to not start a new line for the next put instruction **;
retain From To;
if first.company then do;
From = 1E9;
To = 0;
end;
if Date LT From then From = Date;
if Date GT To then To = Date;
if last.Company then put
#06 Company
#14 From yymm7.
#22 To yymm7.
;
run;

Answer 2

I have done data step to calculate From_date and To_date
and then proc report to print the report by group.
proc sort data=have ;
by Name Company Date;
run;
data want(drop=prev_date date);
set have;
by Name Company date;
attrib From_Date To_date format=yymms10.;
retain prev_date;
if first.Company then prev_date=date;
if last.Company then do;
To_date=Date;
From_Date=prev_date;
end;
if not(last.company) then delete;
run;
proc sort data=want;
by descending name ;
run;
proc report data=want;
define Name/order order=data;
run;

Answer 3

IMHO, the simplest way is exploiting proc report and its analysis column type as the code below. Note that name and company columns are automatically sorted in alphabetical order (as most of the summary functions or procedures do).
/* your data */
data have;
infile datalines;
input Name $ Company $ Date $;
cards;
X A 199802
X A 199705
X D 199901
y B 200405
y F 200309
Z C 200503
Z C 200408
Z C 200404
Z C 200309
Z C 200210
Z M 200109
W G 200010
;
run;
/* convert YYYYMM to date */
data have2(keep=name company date);
set have(rename=(date=date_txt));
name = upcase(name);
y = input(substr(date_txt, 1, 4), 4.);
m = input(substr(date_txt, 5, 2), 2.);
date = mdy(m,1,y);
format date yymms7.;
run;
/****** 1. proc report ******/
proc report data=have2;
columns name company date=date_from date=date_to;
define name / 'Name' group;
define company / 'Company' group;
define date_from / 'From' analysis min;
define date_to / 'To' analysis max;
run;
The html output:
(tested on SAS 9.4 win7 x64)
============================ OFFTOPIC ==============================
One may also consider using proc means or proc tabulate. The basic code forms are shown below. However, you can also see that further adjustments in output formats are required.
/***** 2. proc tabulate *****/
proc tabulate data=have2;
class name company;
var date;
table name*company, date=' '*(min='From' max='To')*format=yymms7.;
run;
proc tabulate output:
/***** 3. proc means (not quite there) *****/
* proc means + ODS -> cannot recognize date formats;
proc means data=have2 nonobs min max;
class name company;
format date yymms7.; * in vain;
var date;
run;
proc means output (cannot output date format, dunno why):
You may leave comments on improving these alternative ways.