MSSQL Tutorial Analytical Functions 40 codes

1 A summary query that includes a final summary row with WITH CUBE

2 A summary query that includes a final summary row with WITH ROLLUP

3 A summary query that includes a summary row for each grouping level

4 A summary query that includes a summary row for each set of groups

5 Aggregate Functions STDEV and STDEVP

6 COMPUTE MIN(start_date) BY region

7 Creating the Vbase_cube View to Hide the CUBE Query Complexity

8 CUBE performs this rollup for every combination of grouped column values

9 DENSE_RANK() OVER

10 Group hierarchy using the ROLLUP operator is determined by the order in which the grouping columns are specified

11 GROUPING() Comes to the Rescue

12 GROUPING() function returns a bit value (1 or 0) to indicate that a row is a rollup

13 PIVOT and UNPIVOT Operators

14 Replacing NULLs with ALL and UNKNOWN

15 ROLLUP Returns Super Aggregation Only in One Direction

16 ROW_NUMBER function returns the sequential number of a row within a result set, starting at 1 for the first row

17 STDEV returns the standard deviation of all the values provided in the expression, based on a sample of the data popu

18 STDEV() Function is a calculation based on the variance of a numeric range of values

19 Summarizing Data with CUBE

20 Summarizing Data with ROLLUP

21 The aggregate function STDEVP computes the standard deviation for the population of all the values listed in a column

22 The STDEVP function returns the standard deviation for all values in the provided expression

23 The syntax of the GROUPING function

24 The use of multiple aggregate functions in a COMPUTE clause

25 The use of the COMPUTE clause, with and without the BY portion

26 The VAR() return the measure of how far the extreme low range or high range value is from the middle

27 Using an Incrementing Row Number

28 Using COMPUTE with aggregate functions

29 Using GROUPING with CUBE

30 Using NTILE

31 Using ROLLUP to Get the Order Count by Year and Month

32 Using several columns from a table to build different partitioning schemas in a query

33 Using Statistical Aggregate Functions

34 Using the COMPUTE BY to provide subtotals

35 Using the CUBE Operator

36 Using the ROLLUP Operator

37 VAR computes the variance of all the values listed in a column or expression

38 WITH ROLLUP for calculating subtotals and totals on the first column in the GROUP BY column list

39 Window function can be a ranking function

40 Window function can be an aggregate function