Top 10 values in each category

I have a table that has the following columns:
Category Item Cost
I would like to find out what the top 10 most expensive items are in each category. Is there a way you can do this with 1 SQL statement??? I have tried using the rank analytical function, but to no avail. Any help would be appreciated. Thanks!!!

select *
from ( select category, item, cost, row_number()
over ( partition by category order by cost desc) top10
from t01)
where top10 <= 10
Best Regards
Krystian Zieja / mob

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... sum the top N salary values for each department?
The ethernal doubt: does 3 denote positions or values
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I want to get the top 11 values by date range.
Sample Data
CREATE TABLE SAMPLE_DATA
    DOMAIN_NAME VARCHAR2(100),
    QTD         NUMBER,
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-- Insert
BEGIN
FOR lc IN 1..20
LOOP
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COMMIT;
END;
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SELECT 'Others' DOMAIN_NAME,
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FROM
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        FROM SAMPLE_DATA
        WHERE LOAD_DATE = TRUNC(SYSDATE-3)
        ORDER BY QTD DESC
    WHERE rn > 10
GROUP BY LOAD_DATE
ORDER BY QTD DESC
-- Result
DOMAIN_NAME                 QTD                         LOAD_DATE
Others                      2888                        24/03/13
DM_1                        1000                        24/03/13
DM_20                       933                         24/03/13
DM_11                       913                         24/03/13
DM_3                        743                         24/03/13
DM_13                       572                         24/03/13
DM_12                       568                         24/03/13
DM_9                        564                         24/03/13
DM_6                        505                         24/03/13
DM_5                        504                         24/03/13
DM_2                        480                         24/03/13
Please, Help me get in one query this result using a range of date.
e.g
using LOAD_DATE BETWEEN '24/03/13' AND '25/03/13'
DOMAIN_NAME                 QTD                         LOAD_DATE
Others                      2888                        24/03/13
DM_1                        1000                        24/03/13
DM_20                       933                         24/03/13
DM_11                       913                         24/03/13
DM_3                        743                         24/03/13
DM_13                       572                         24/03/13
DM_12                       568                         24/03/13
DM_9                        564                         24/03/13
DM_6                        505                         24/03/13
DM_5                        504                         24/03/13
DM_2                        480                         24/03/13
Others                      1948                        25/03/13
DM_1                        807                         25/03/13
DM_8                        764                         25/03/13
DM_7                        761                         25/03/13
DM_11                       656                         25/03/13
DM_18                       611                         25/03/13
DM_17                       523                         25/03/13
DM_14                       467                         25/03/13
DM_19                       447                         25/03/13
DM_15                       437                         25/03/13
DM_6                        380                         25/03/13             Thank you in advance.

I got the solution. Just sharing.
I used analytic functions that make my job easy.
Sample Data
DOMAIN_NAME                 QTD                         LOAD_DATE
DM_1                        807                         25/03/2013
DM_1                        1000                        24/03/2013
DM_2                        226                         25/03/2013
DM_2                        480                         24/03/2013
DM_3                        244                         25/03/2013
DM_3                        743                         24/03/2013
DM_4                        48                          25/03/2013
DM_4                        413                         24/03/2013
DM_5                        164                         25/03/2013
DM_5                        504                         24/03/2013
DM_6                        380                         25/03/2013
DM_6                        505                         24/03/2013
DM_7                        761                         25/03/2013
DM_7                        212                         24/03/2013
DM_8                        764                         25/03/2013
DM_8                        308                         24/03/2013
DM_9                        354                         25/03/2013
DM_9                        564                         24/03/2013
DM_10                       214                         25/03/2013
DM_10                       367                         24/03/2013
DM_11                       656                         25/03/2013
DM_11                       913                         24/03/2013
DM_12                       37                          25/03/2013
DM_12                       568                         24/03/2013
DM_13                       332                         25/03/2013
DM_13                       572                         24/03/2013
DM_14                       467                         25/03/2013
DM_14                       87                          24/03/2013
DM_15                       437                         25/03/2013
DM_15                       450                         24/03/2013
DM_16                       238                         25/03/2013
DM_16                       299                         24/03/2013
DM_17                       523                         25/03/2013
DM_17                       143                         24/03/2013
DM_18                       611                         25/03/2013
DM_18                       145                         24/03/2013
DM_19                       447                         25/03/2013
DM_19                       464                         24/03/2013
DM_20                       91                          25/03/2013
DM_20                       933                         24/03/2013                  Top 11 QTD of DOMAIN_NAME per Data Range.
SELECT *
FROM
(SELECT DOMAIN_NAME,
    QTD,
    LOAD_DATE
FROM
    (SELECT LOAD_DATE,
      DOMAIN_NAME ,
      QTD,
      (DENSE_RANK() OVER (PARTITION BY LOAD_DATE ORDER BY QTD DESC )) AS RANK_QTD
    FROM SAMPLE_DATA
    WHERE trunc(load_date) BETWEEN '24/03/2013' AND '25/03/2013'
WHERE RANK_QTD <= 10
UNION ALL
SELECT 'Others',
    SUM(QTD) AS QTD,
    LOAD_DATE
FROM
    (SELECT LOAD_DATE,
      DOMAIN_NAME ,
      QTD,
      (DENSE_RANK() OVER (PARTITION BY LOAD_DATE ORDER BY QTD DESC )) AS RANK_QTD
    FROM SAMPLE_DATA
    WHERE trunc(load_date) BETWEEN '24/03/2013' AND '25/03/2013'
WHERE RANK_QTD > 10
GROUP BY LOAD_DATE
ORDER BY LOAD_DATE ASC,
QTD DESC
DOMAIN_NAME                 QTD                         LOAD_DATE
Others                      2888                        24/03/2013
DM_1                        1000                        24/03/2013
DM_20                       933                         24/03/2013
DM_11                       913                         24/03/2013
DM_3                        743                         24/03/2013
DM_13                       572                         24/03/2013
DM_12                       568                         24/03/2013
DM_9                        564                         24/03/2013
DM_6                        505                         24/03/2013
DM_5                        504                         24/03/2013
DM_2                        480                         24/03/2013
Others                      1948                        25/03/2013
DM_1                        807                         25/03/2013
DM_8                        764                         25/03/2013
DM_7                        761                         25/03/2013
DM_11                       656                         25/03/2013
DM_18                       611                         25/03/2013
DM_17                       523                         25/03/2013
DM_14                       467                         25/03/2013
DM_19                       447                         25/03/2013
DM_15                       437                         25/03/2013
DM_6                        380                         25/03/2013

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Edited by: madhavi kotra on Sep 2, 2008 6:00 PM

Top 10 values in each category

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