How to design a flexible table display

I may like to make UI to display value as in the attached figure1.
5 factors can fix and point to one test point, such as region, station, panel, phase, level, from big to small scale one by one.
Normally, user only care about station. But the problem is some time the other columns, such as region, panel phase and level, also need to be displayed.
Is it somehow possible to group the same scale using the tree display as figure 2. Or need to display all of them as figure 3.(Sometimes only 1 of the 5 factor needs to take care and displayed)
If can use the tree diagram, how to re-fille the values whe tree zoom in & out.
Another thing is every test point has many data in different timestamp. How to display them as in figure 4. Using another tree to zoom in & out?
Another need to take in mind is finally, some cell need to change color and some grid need cut paste into office.
Thanks so much for your help.
Attachments:
demo.JPG ‏77 KB

Hi VENKATESH.J,
Thanks for your inquiry, now I am just design for it.
And found there are more than I can to put into a table, since there are 3 kinds of info, not only 2 kinds just for columns and rows. They are stations and related names, values and timestamps.
And it is also difficult to make the table in a flexible display type, such as expand or not expand the timestamp series as user like.

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Edited by: CRGuru on Jun 17, 2009 3:43 AM
Edited by: CRGuru on Jun 17, 2009 3:43 AM

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Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
>
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DROP PRIMARY KEY CASCADE;
DROP TABLE SCOTT.STAR_FACT CASCADE CONSTRAINTS;
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    beer    varchar2(30) DEFAULT 'N/A' not null,
    marital_status varchar2(30) DEFAULT 'N/A' not null,
    softdrink varchar2(30) DEFAULT 'N/A' not null,
    state    varchar2(30) DEFAULT 'N/A' not null,
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create bitmap index beer_bitmap on star_fact (beer);
create bitmap index marital_status_bitmap on star_fact (marital_status);
create bitmap index softdrink_bitmap on star_fact (softdrink);
create bitmap index state_bitmap on star_fact (state);
create bitmap index summer_sport_bitmap on star_fact (summer_sport);
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SQL> set serveroutput on
SQL> set autotrace on explain
SQL> select rowid from star_fact where
2   (state = 'CA') or (state = 'CO')
3 and (age = 'young') and (marital_status = 'divorced')
4 and (((summer_sport = 'baseball') and (softdrink = 'pepsi'))
5 or ((summer_sport = 'golf') and (beer = 'coors')));
no rows selected
Execution Plan
Plan hash value: 1934160231
| Id | Operation                      | Name                  | Rows | Bytes |
|   0 | SELECT STATEMENT               |                       |     1 |    30 |
|   1 | BITMAP CONVERSION TO ROWIDS   |                       |     1 |    30 |
|   2 |   BITMAP OR                    |                       |       |       |
|* 3 |    BITMAP INDEX SINGLE VALUE   | STATE_BITMAP          |       |       |
|   4 |    BITMAP AND                  |                       |       |       |
|* 5 |     BITMAP INDEX SINGLE VALUE | AGE_BITMAP            |       |       |
|* 6 |     BITMAP INDEX SINGLE VALUE | MARITAL_STATUS_BITMAP |       |       |
|* 7 |     BITMAP INDEX SINGLE VALUE | STATE_BITMAP          |       |       |
|   8 |     BITMAP OR                  |                       |       |       |
|   9 |      BITMAP AND                |                       |       |       |
|* 10 |       BITMAP INDEX SINGLE VALUE| SOFTDRINK_BITMAP      |       |       |
|* 11 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
| 12 |      BITMAP AND                |                       |       |       |
|* 13 |       BITMAP INDEX SINGLE VALUE| BEER_BITMAP           |       |       |
|* 14 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
Predicate Information (identified by operation id):
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   5 - access("AGE"='young')
   6 - access("MARITAL_STATUS"='divorced')
   7 - access("STATE"='CO')
10 - access("SOFTDRINK"='pepsi')
11 - access("SUMMER_SPORT"='baseball')
13 - access("BEER"='coors')
14 - access("SUMMER_SPORT"='golf')
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In 11g you can create virtual columns and then index them.
so if you find that the condition 'young' and 'divorced' is used frequently you could create a VIRTUAL 'young_divorced' column and create an index.
alter table star_fact add (young_divorced AS (case
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2 and (state = 'CA') or (state = 'CO')
3 /
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Execution Plan
Plan hash value: 2656088680
| Id | Operation                    | Name               | Rows | Bytes | Cost
|   0 | SELECT STATEMENT             |                    |     1 |    28 |
|   1 | BITMAP CONVERSION TO ROWIDS |                    |       |       |
|   2 |   BITMAP OR                  |                    |       |       |
|* 3 |    BITMAP INDEX SINGLE VALUE | STATE_BITMAP       |       |       |
|   4 |    BITMAP AND                |                    |       |       |
|* 5 |     BITMAP INDEX SINGLE VALUE| STATE_BITMAP       |       |       |
|* 6 |     BITMAP INDEX SINGLE VALUE| YOUNG_DIVORCED_NDX |       |       |
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The YOUNG_DIVORCE_NDX is real and does consume space. The tradeoff is additional space for the index but you make the query easier because you don't have to recreate the complex condition every time.
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>
Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
>
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-- get the dimension counts
SQL> select beer, count(*) from star_fact group by beer;
BEER                             COUNT(*)
N/A                                 56977
Execution Plan
Plan hash value: 1692670403
| Id | Operation                | Name        | Rows | Bytes | Cost (%CPU)| Ti
|   0 | SELECT STATEMENT         |             |     1 |    12 |     3   (0)| 00
|   1 | SORT GROUP BY NOSORT    |             |     1 |    12 |     3   (0)| 00
|   2 |   BITMAP CONVERSION COUNT|             | 56977 |   667K|     3   (0)| 00
|   3 |    BITMAP INDEX FULL SCAN| BEER_BITMAP |       |       |            |
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