1 00:00:01,140 --> 00:00:02,960 Hello and welcome to this video. 2 00:00:02,970 --> 00:00:09,690 In the previous video, we have seen that how to create a database, how to add a table to the database 3 00:00:09,690 --> 00:00:17,310 and how to see what all you have created using select start from Notebook Notebook was the name of that 4 00:00:17,310 --> 00:00:19,930 table, which we have created in the previous video. 5 00:00:20,220 --> 00:00:26,430 So now to says again, that table, you have to again go to the school, write down the same grade, 6 00:00:26,550 --> 00:00:33,450 select, start from the day by name, and then you'll see that we have inserted three records into the 7 00:00:33,450 --> 00:00:33,940 table. 8 00:00:34,290 --> 00:00:42,090 So now if I want to filter based on attendance, that means I want to see how many students were present 9 00:00:42,090 --> 00:00:43,630 on the particular day. 10 00:00:44,040 --> 00:00:47,670 So do filter based on attendance. 11 00:00:47,670 --> 00:00:53,460 We have some condition clause, which is known as very close in to that as well. 12 00:00:53,700 --> 00:01:00,540 So I'm going to use this well and I want to put a condition on the column, which is attendance. 13 00:01:00,540 --> 00:01:04,580 So McQuary will be select staff from table. 14 00:01:04,590 --> 00:01:07,770 That means I want to select all the records from the table. 15 00:01:07,770 --> 00:01:17,610 That is notebook where attendance column is equal to the value present so that I'm going to get all 16 00:01:17,710 --> 00:01:22,790 the records whose value is present in to the attendance column. 17 00:01:23,310 --> 00:01:31,200 So you can see that I got only two records because for the serial number two that we have in our data 18 00:01:31,200 --> 00:01:38,780 record that was absent in the attendance column, I'm getting only two records whose value is presented 19 00:01:38,790 --> 00:01:40,120 to the attendance column. 20 00:01:40,440 --> 00:01:48,120 So this is how you can use the word clause and what some conditions to X's and filter the data from 21 00:01:48,120 --> 00:01:49,080 your database. 22 00:01:49,440 --> 00:01:52,990 Okay, so now let's see the records for the Epson. 23 00:01:53,130 --> 00:01:58,830 That means I'm putting a condition that is where our attendance column equals Epson. 24 00:01:59,100 --> 00:02:08,100 So I'm getting only one record that is Schiefer because only to the attendance column absent value is 25 00:02:08,100 --> 00:02:11,450 present with the record Schiefer. 26 00:02:11,850 --> 00:02:14,490 So that's it for this video. 27 00:02:14,520 --> 00:02:15,660 Thank you so much.