SQL Aggregation Questions
Aggregate data with COUNT, SUM, AVG, MIN, MAX and group results with GROUP BY and HAVING clauses.
About SQL Aggregation
Aggregation lets you summarize large datasets into meaningful metrics. This topic covers aggregate functions (COUNT, SUM, AVG, MIN, MAX), grouping rows with GROUP BY, filtering groups with HAVING, and combining aggregation with ordering. These skills are essential for reporting, analytics, and dashboards.
Tips
- •COUNT(*) counts all rows including NULLs
- •HAVING filters after grouping, WHERE filters before
- •Use alias names with aggregate functions for cleaner output
Calculate Count #1
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #2
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #3
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #4
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #5
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #6
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #7
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #8
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #9
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #10
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #11
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #12
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #13
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #14
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #15
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #16
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #17
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #18
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #19
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #20
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #21
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #22
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #23
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #24
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #25
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #26
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #27
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #28
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #29
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #30
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #31
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #32
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #33
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #34
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #35
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #36
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #37
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #38
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #39
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #40
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #41
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #42
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #43
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #44
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #45
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #46
Calculate the count using COUNT(*). COUNT() returns the number of rows. Use COUNT(*) to count all rows, or COUNT(column_name) to count non-NULL values in a specific column.
Calculate Total #47
Calculate the total using SUM(value). SUM() adds up all numeric values in a column. Make sure you're summing the correct column and that it contains numeric data.
Calculate Average #48
Calculate the average using AVG(value). AVG() calculates the average (mean) of numeric values. It automatically excludes NULL values from the calculation.
Calculate Minimum #49
Calculate the minimum using MIN(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Maximum #50
Calculate the maximum using MAX(value). MIN() and MAX() find the smallest and largest values respectively. They work with both numeric and text data.
Calculate Count #51
Calculate the count using COUNT(*). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Total #52
Calculate the total using SUM(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Average #53
Calculate the average using AVG(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Minimum #54
Calculate the minimum using MIN(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Maximum #55
Calculate the maximum using MAX(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Count #56
Calculate the count using COUNT(*). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Total #57
Calculate the total using SUM(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Average #58
Calculate the average using AVG(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Minimum #59
Calculate the minimum using MIN(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Maximum #60
Calculate the maximum using MAX(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Count #61
Calculate the count using COUNT(*). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Total #62
Calculate the total using SUM(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Average #63
Calculate the average using AVG(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Minimum #64
Calculate the minimum using MIN(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Maximum #65
Calculate the maximum using MAX(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Count #66
Calculate the count using COUNT(*). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Total #67
Calculate the total using SUM(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Average #68
Calculate the average using AVG(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Minimum #69
Calculate the minimum using MIN(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Maximum #70
Calculate the maximum using MAX(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Count #71
Calculate the count using COUNT(*). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Total #72
Calculate the total using SUM(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Average #73
Calculate the average using AVG(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Minimum #74
Calculate the minimum using MIN(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Calculate Maximum #75
Calculate the maximum using MAX(value). You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #76
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #77
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #78
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #79
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #80
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #81
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #82
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #83
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #84
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #85
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #86
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #87
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #88
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #89
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #90
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #91
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #92
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #93
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #94
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #95
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #96
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #97
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #98
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #99
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #100
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #101
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #102
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #103
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #104
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #105
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #106
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #107
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #108
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #109
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #110
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #111
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #112
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #113
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #114
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #115
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #116
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #117
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #118
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #119
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #120
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #121
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #122
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #123
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #124
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #125
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #126
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #127
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #128
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #129
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #130
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #131
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #132
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #133
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #134
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #135
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #136
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #137
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #138
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #139
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #140
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #141
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #142
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #143
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #144
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #145
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Count #146
Calculate count for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Total #147
Calculate total for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Average #148
Calculate average for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Minimum #149
Calculate minimum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.
Group by Category with Maximum #150
Calculate maximum for each category. You may need to use GROUP BY to calculate aggregates for different groups of data. Remember that when using GROUP BY, all non-aggregate columns in SELECT must be in the GROUP BY clause.