![]() Using SQL to analyze Bitcoin, Ethereum & Cryptocurrency Performance Multichannel Marketing Attribution ModelingĪnalyzing Net Promoter Score (NPS) surveys in SQL to improve customer satisfaction & loyalty SQL's NULL values: comparing, sorting, converting and joining with real values SQL Server: Date truncation for custom time periods like year, quarter, month, etc.įilling Missing Data & Plugging Gaps by Generating a Continuous Seriesįinding Patterns & Matching Substrings using Regular ExpressionsĬoncatenating Rows of String Values for Aggregation Redshift: Generate a sequential range of numbers for time series analysis MySQL: Generate a sequential range of numbers for time series analysis Understanding how Joins work – examples with Javascript implementation Mensa-Annan 2753000.First steps with Silota dashboarding and chartingĬalculating Exponential Moving Average with Recursive CTEsĬalculating Difference from Beginning RowĬreating Pareto Charts to visualize the 80/20 principleĬalculating Summaries with Histogram Frequency DistributionsĬalculating Relationships with Correlation MatricesĪnalyzing Recency, Frequency and Monetary value to index your best customersĪnalyze Mailchimp Data by Segmenting and Lead scoring your email listĬalculating Top N items and Aggregating (sum) the remainder into "All other"Ĭalculating Linear Regression Coefficientsįorecasting in presence of Seasonal effects using the Ratio to Moving Average method LastName TotalSales SalesTerritoryGroup RankResultĪnsman-Wolfe 3551000.0000 North America 9 WHERE SalesPersonFlag = 1 AND SalesTerritoryGroup != N'NA' INNER JOIN dbo.DimSalesTerritory AS st ON e.SalesTerritoryKey = st.SalesTerritoryKey INNER JOIN dbo.FactSalesQuota AS sq ON e.EmployeeKey = sq.EmployeeKey SELECT LastName, SUM(SalesAmountQuota) AS TotalSales, SalesTerritoryGroup,ĭENSE_RANK() OVER (PARTITION BY SalesTerritoryGroup ORDER BY SUM(SalesAmountQuota) DESC ) AS RankResult DENSE_RANK partitions the rowset by SalesTerritoryGroup, and sorts the result set by SalesAmountQuota. This example ranks the sales representatives in each sales territory according to their total sales. WHERE TerritoryID IS NOT NULL AND SalesYTD 0 Įxamples: Azure Synapse Analytics and Analytics Platform System (PDW) D: Ranking rows within a partition ON s.BusinessEntityID = p.BusinessEntityID ,NTILE(4) OVER (ORDER BY a.PostalCode) AS Quartile ,DENSE_RANK() OVER (ORDER BY a.PostalCode) AS "Dense Rank" ,RANK() OVER (ORDER BY a.PostalCode) AS Rank ,ROW_NUMBER() OVER (ORDER BY a.PostalCode) AS "Row Number" See each ranking function for function-specific examples. This example shows the four ranking functions Four ranking functions used in the same query USE AdventureWorks2012 ĭENSE_RANK() OVER (ORDER BY Rate DESC) AS RankBySalary Because the SELECT statement did not specify a PARTITION BY clause, the DENSE_RANK function applied to all result set rows. This example returns the top ten employees ranked by their salary. (PARTITION BY i.LocationID ORDER BY i.Quantity DESC) AS Rank SELECT i.ProductID, p.Name, i.LocationID, i.Quantity ![]() Because they both have the same quantity value, they both have a rank value of one. Notice that products 494 and 495 have the same quantity. ![]() DENSE_RANK partitions the result set by LocationID and logically orders the result set by Quantity. This example ranks the products in inventory, by the specified inventory locations, according to their quantities. See Deterministic and Nondeterministic Functions for more information. This implies that a row ranked number one does not have to be the first row in the partition.ĭENSE_RANK is nondeterministic. The sort order used for the whole query determines the order of the rows in the result set. Therefore, the numbers returned by the DENSE_RANK function do not have gaps, and always have consecutive rank values. This exceeds the number of distinct rows that come before the row in question by one. The salesperson with the next highest SalesYTD will have a rank value of two. For example, if the two top salespeople have the same SalesYTD value, they will both have a rank value of one. If two or more rows have the same rank value in the same partition, each of those rows will receive the same rank. See OVER Clause (Transact-SQL) for the PARTITION BY syntax.ĭetermines the order in which the DENSE_RANK function applies to the rows in a partition. Argumentsįirst divides the result set produced by the FROM clause into partitions, and then the DENSE_RANK function is applied to each partition. To view Transact-SQL syntax for SQL Server 2014 and earlier, see Previous versions documentation.
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