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select count(id) as TOTAL,category from nw_news where status=1 group by category
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select count(id) as TOTAL from nw_news where sub_category=9
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select count(id) as TOTAL from nw_news where sub_category=8
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select count(id) as TOTAL from nw_news where sub_category=7
|
| 0.0001 |
SELECT *
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select count(id) as TOTAL from nw_news where sub_category=3
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select count(id) as TOTAL from nw_news where sub_category=4
|
| 0.0000 |
SELECT *
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|
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select count(id) as TOTAL from nw_news where sub_category=13
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| 0.0000 |
SELECT *
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|
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select count(id) as TOTAL from nw_news where sub_category=39
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| 0.0000 |
select count(id) as TOTAL from nw_news where sub_category=38
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select count(id) as TOTAL from nw_news where sub_category=40
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select count(id) as TOTAL from nw_news where sub_category=41
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| 0.0001 |
SELECT *
FROM `nw_categories`
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select count(id) as TOTAL from nw_news where sub_category=18
|
| 0.0000 |
select count(id) as TOTAL from nw_news where sub_category=16
|
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select count(id) as TOTAL from nw_news where sub_category=17
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SELECT *
FROM `nw_categories`
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SELECT *
FROM `nw_categories`
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|
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select count(id) as TOTAL from nw_news where sub_category=26
|
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select count(id) as TOTAL from nw_news where sub_category=27
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| 0.0000 |
select count(id) as TOTAL from nw_news where sub_category=29
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0001 |
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| 0.0000 |
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