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SELECT | |
*, | |
ROUND(PERCENT_RANK() OVER(ORDER BY revenue)*100,2) AS pct_rank, | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
NTILE(4) OVER(ORDER BY revenue) AS quartiles, | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
ROUND(CUME_DIST() OVER(ORDER BY revenue),2)*100 AS cumulative_distribution, | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
ROW_NUMBER() OVER(ORDER BY revenue DESC) AS row_number, | |
RANK() OVER(ORDER BY revenue DESC) AS rank, | |
DENSE_RANK() OVER(ORDER BY revenue DESC) AS dense_rank, | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
ROW_NUMBER() OVER(PARTITION BY product_category ORDER BY revenue DESC) AS row_number | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
ROW_NUMBER() OVER(ORDER BY revenue DESC) AS row_number | |
FROM | |
`datastic.ranking.base_table`; |
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SELECT | |
*, | |
ROW_NUMBER() OVER() AS row_number | |
FROM | |
`datastic.ranking.base_table` |
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WITH | |
revenue_product AS ( | |
SELECT | |
product_category, | |
DATE(DATE_TRUNC(order_date,MONTH)) AS order_month, | |
ROUND(SUM(product_revenue),0) AS revenue_per_category | |
FROM | |
`datastic.variables.base_table` | |
GROUP BY | |
1, |
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WITH | |
revenue_product AS ( | |
SELECT | |
product_category, | |
DATE(DATE_TRUNC(order_date,MONTH)) AS order_month, | |
ROUND(SUM(product_revenue),0) AS revenue_per_category | |
FROM | |
`datastic.variables.base_table` | |
GROUP BY | |
1, |
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