SQL - Suppressing duplicate columns (not rows) for a query

I have a query that returns something like this...

Dataset 1:

EFFECTIVE_DATE END_DATE DESC                            SUBPART

4/10/2011                  Dairy Products Processing           L
4/10/2011                  360 CMR 10.000   
4/1/2011       4/9/2011    Dairy Products Processing            A
4/1/2011       4/9/2011    Ferroalloy Manufacturing             A

I'm looking to get a query that returns that dataset like this...

Dataset 2:

   EFFECTIVE_DATE END_DATE  DESC                            SUBPART

    4/10/2011                 Dairy Products Processing           L
                             360 CMR 10.000 
    4/1/2011        4/9/2011   Dairy Products Processing           A
                               Ferroalloy Manufacturing         A

Notice that the duplicate effective date( 4/10/2011 - {null} and 4/1/2011 - 4/9/2011) are suppressed when duplicated.

Edit 1: In response to @Justin Cave's answer,

Below is my query merged with Justin Cave's template. It's close, but its a little off. The dates and descriptions seem a little mixed up from what they're supposed to be (the data in the dataset should be like the one in Dataset 2:. I think it may have something to do with my ordering but I'm not sure.

SELECT (CASE WHEN effective_date = prior_effective_date 
             THEN null
             ELSE effective_date
         END) effective_date,
       (CASE WHEN end_date = prior_end_date 
             THEN null
             ELSE end_date
         END) end_date,
       cfr_part_desc ,
       cfr_subpart
  FROM
    (SELECT c.effective开发者_运维百科_date,
            lag(c.effective_date) over (order by c.effective_date desc, cpl.cfr_part_desc asc) prior_effective_date,
            c.end_date,
            lag(c.end_date) over  (order by c.effective_date desc, cpl.cfr_part_desc asc) prior_end_date,
            cpl.CFR_PART_DESC as cfr_part_desc,
            cd.CFR_SUBPART as cfr_subpart
     from table1 c
      inner join table2 cd ON c.IND_ID = cd.IND_ID
                              AND cd.EFFECTIVE_DATE = c.EFFECTIVE_DATE
      inner join table3 cpl on cd.CFR_PART_L_S = cpl.CFR_PART_L_S 
      inner join table4 f on c.ind_id = f.ind_id
      inner join table5 p on f.ind_id = p.ind_id
    where p.PERMIT_S = '4988'
    order by c.effective_date desc, cpl.CFR_PART_DESC asc
    );

Edit 2: The incorrect data was due to ambiguously defining the column effective date. The query above now works correctly.

I think you're looking for something like this using analytic functions. It's not clear to me how the result set is ordered, so you'll have to fill that in. You'll also probably be able to combine the analytic function into your query rather than adding a third level of nesting.

SELECT (CASE WHEN effective_date = prior_effective_date 
             THEN null
             ELSE effective_date
         END) effective_date,
       (CASE WHEN end_date = prior_end_date 
             THEN null
             ELSE end_date
         END) end_date,
       description ,
       subpart
  FROM
    (SELECT effective_date,
            lag(effective_date) over 
                (order by effective_date desc, description asc) prior_effective_date,
            end_date,
            lag(end_date) over 
                (order by effective_date desc, description asc) prior_end_date,
            desc,
            subpart
       FROM <<your query>>)

If you're using SQL*Plus to generate the output, you can use BREAK:

BREAK ON EFFECTIVE_DATE ON END_DATE
SELECT ...