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These are the user uploaded subtitles that are being translated: 0 1 00:00:06,912 --> 00:00:12,288 Now, we will be discussing some of the aggregate functions such as count, sum, average 1 2 00:00:12,544 --> 00:00:13,568 Min and max 2 3 00:00:14,336 --> 00:00:15,616 First is the count function 3 4 00:00:16,128 --> 00:00:19,712 Count function will return the count of the expression that you have mentioned 4 5 00:00:21,248 --> 00:00:25,344 For example if you want to find out the number of sales that you have done 5 6 00:00:25,600 --> 00:00:31,744 You can count the number of sales lines that you have, to get the total number of sales that you are done 6 7 00:00:32,256 --> 00:00:36,352 Or you want to find out the count of customers with name starting with A 7 8 00:00:36,608 --> 00:00:38,400 Then again count function will help you 8 9 00:00:38,656 --> 00:00:40,448 The syntax of count function is 9 10 00:00:40,704 --> 00:00:42,752 You select the column names if you want 10 11 00:00:43,008 --> 00:00:46,848 Count will be written as count and then you give the column name 11 12 00:00:47,104 --> 00:00:49,664 Of the column of which you want the 12 13 00:00:49,920 --> 00:00:50,432 Count 13 14 00:00:51,200 --> 00:00:55,296 So it will count number of non null values in that column 14 15 00:00:56,576 --> 00:01:01,184 After it has applied the condition so if you are mentioned any where clause 15 16 00:01:01,440 --> 00:01:03,232 It will check the condition 16 17 00:01:03,488 --> 00:01:08,608 And after that if there is any non null value in that particular column which were mentioned after the count 17 18 00:01:08,864 --> 00:01:10,912 It will give that particular count 18 19 00:01:12,192 --> 00:01:15,008 Let's look at some of the examples to understand this 19 20 00:01:17,056 --> 00:01:21,152 So this first example where I have returned select count star from sales 20 21 00:01:21,664 --> 00:01:22,176 It will 21 22 00:01:22,432 --> 00:01:23,712 Go to the sales table 22 23 00:01:23,968 --> 00:01:24,736 And it will 23 24 00:01:24,992 --> 00:01:26,272 Look at all the records 24 25 00:01:27,296 --> 00:01:31,904 And it will give back the count of all the rows in that particular table 25 26 00:01:32,672 --> 00:01:35,488 Let it go and write this in the PG admin interface 26 27 00:01:36,000 --> 00:01:37,280 Select 27 28 00:01:38,560 --> 00:01:39,584 Count star 28 29 00:01:43,424 --> 00:01:45,728 Remember that I put the star 29 30 00:01:45,984 --> 00:01:47,008 Within the bracket 30 31 00:01:47,264 --> 00:01:53,408 Whatever column name you want to mention you have to put it into bracket, from sales, sales is the table name 31 32 00:01:53,664 --> 00:01:54,176 When I run this 32 33 00:01:54,688 --> 00:01:56,736 I get a count of 33 34 00:01:57,760 --> 00:01:59,552 9994 34 35 00:02:00,576 --> 00:02:05,184 This is the total count but if you notice the column name is written as count 35 36 00:02:05,952 --> 00:02:11,072 This may not make any sense to anyone who looks at this count that is why we will be using aliases 36 37 00:02:11,584 --> 00:02:12,608 And mention 37 38 00:02:12,864 --> 00:02:14,400 Count star as 38 39 00:02:14,912 --> 00:02:17,472 The total count of sales something like that 39 40 00:02:17,984 --> 00:02:19,776 So that we get the right column name 40 41 00:02:22,592 --> 00:02:24,896 Now, Imagine if you want to find out 41 42 00:02:25,408 --> 00:02:28,736 How many orders that particular customer has given 42 43 00:02:28,992 --> 00:02:32,320 And how many products that particular customer has ordered 43 44 00:02:33,088 --> 00:02:34,880 Go and look at the 44 45 00:02:35,136 --> 00:02:36,160 Sales table 45 46 00:02:36,416 --> 00:02:40,000 By just doing select star from sales 46 47 00:02:44,352 --> 00:02:49,728 So for example, this first customer with customer ID CG 12520 47 48 00:02:50,752 --> 00:02:55,360 It has two entries on the top those two entries have the same order ID 48 49 00:02:55,616 --> 00:02:57,920 Which means it was one single order 49 50 00:02:58,176 --> 00:03:02,784 In which two different products were ordered so the product ID in both these 50 51 00:03:03,040 --> 00:03:04,320 Two rows is different 51 52 00:03:05,600 --> 00:03:07,136 If I want to find out 52 53 00:03:07,392 --> 00:03:10,976 Count of all the orders that this particular customer has given 53 54 00:03:11,232 --> 00:03:15,328 And the count of different products that this customer has ordered 54 55 00:03:15,584 --> 00:03:16,608 I start typing 55 56 00:03:17,120 --> 00:03:18,144 Select 56 57 00:03:20,448 --> 00:03:23,520 And select the count of 57 58 00:03:23,776 --> 00:03:25,056 Order lines 58 59 00:03:31,456 --> 00:03:37,600 So each separate order line is giving me the number of products that that particular customer has ordered 59 60 00:03:37,856 --> 00:03:38,624 So I Name this as 60 61 00:03:39,136 --> 00:03:44,768 Number of products ordered 61 62 00:03:47,584 --> 00:03:49,632 Then I'll find out 62 63 00:03:52,704 --> 00:03:53,728 Count of 63 64 00:03:54,240 --> 00:03:56,032 Order IDs 64 65 00:03:56,288 --> 00:03:57,824 Distinct order ID 65 66 00:04:03,968 --> 00:04:06,272 If I do not write distinct 66 67 00:04:08,064 --> 00:04:10,880 Repetitive order IDS will be 67 68 00:04:11,136 --> 00:04:12,416 Will be counted multiple Times 68 69 00:04:12,672 --> 00:04:18,815 As number of orders 69 70 00:04:22,143 --> 00:04:22,911 And 70 71 00:04:23,167 --> 00:04:26,751 This will be from the table 71 72 00:04:27,007 --> 00:04:29,311 Sales 72 73 00:04:29,567 --> 00:04:32,383 Where customer ID 73 74 00:04:32,639 --> 00:04:38,783 Will be this CG 12520 74 75 00:04:39,039 --> 00:04:39,551 CG12520 75 76 00:04:40,063 --> 00:04:42,111 CG12520 76 77 00:04:43,391 --> 00:04:46,207 Select this query and run it 77 78 00:04:49,279 --> 00:04:50,047 You can see 78 79 00:04:50,303 --> 00:04:51,839 The column names are the ones 79 80 00:04:52,095 --> 00:04:53,119 That we provided 80 81 00:04:53,631 --> 00:04:54,143 And 81 82 00:04:54,399 --> 00:04:55,679 This particular customer 82 83 00:04:56,447 --> 00:04:57,727 Ordered three times 83 84 00:04:57,983 --> 00:04:59,263 He gave three orders 84 85 00:04:59,775 --> 00:05:00,287 But 85 86 00:05:00,799 --> 00:05:04,383 One or more of the orders has multiple products in it so 86 87 00:05:04,639 --> 00:05:07,199 Total number of products ordered by this customer is 5 87 88 00:05:08,735 --> 00:05:10,783 Next we'll look at how to use 88 89 00:05:11,295 --> 00:05:12,063 Sum function 6937

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