1 00:00:05,720 --> 00:00:06,340 Hey everyone. 2 00:00:07,190 --> 00:00:09,570 So maybe Hello data. 3 00:00:10,180 --> 00:00:13,040 And let me have a simple look at that one again. 4 00:00:14,750 --> 00:00:24,600 So here with the tips these columns these Joes second one is this one defend them already fine. 5 00:00:24,710 --> 00:00:28,370 And remember the here beat here because this numerical value here. 6 00:00:29,000 --> 00:00:33,470 So if we need to block that one we will go for this one then the F three. 7 00:00:33,980 --> 00:00:43,640 We have this one and it has hundreds rows and the F4 is again dissimilar to that one but only candles. 8 00:00:43,670 --> 00:00:47,860 Now let me move to the plots in which only points are bloated like this. 9 00:00:48,740 --> 00:00:52,040 So this index well that one is very simple. 10 00:00:52,100 --> 00:00:55,050 You first need to be away you have empty cell. 11 00:00:55,460 --> 00:00:58,500 You first need to provide a data set that you are going to use. 12 00:00:58,610 --> 00:01:07,880 Like if I go for the data set three then don't load and then scatter 13 00:01:10,790 --> 00:01:16,690 and then you need to pass the variable like because in scatter we require two parameter that is true 14 00:01:16,690 --> 00:01:22,330 and column so X axis will be our a. 15 00:01:23,480 --> 00:01:26,180 And why we will be a B. 16 00:01:27,290 --> 00:01:31,640 So when I shifted on this one I will get this points. 17 00:01:31,730 --> 00:01:35,070 So this is the scattered plot here. 18 00:01:35,180 --> 00:01:43,520 You can have this one with the data set forth then you have fewer points there because we have only 19 00:01:43,520 --> 00:01:44,320 Daniels. 20 00:01:44,420 --> 00:01:47,720 So we have just 5 and 5 10 values there. 21 00:01:48,860 --> 00:01:56,360 So this is about three points and then we determine you can also do this thing with the tips. 22 00:01:56,480 --> 00:02:02,860 You just need to pass here like if I have total underscore Bill if you remember we have total underscored 23 00:02:02,870 --> 00:02:03,720 building. 24 00:02:04,730 --> 00:02:08,660 Then we have another one should be done. 25 00:02:08,660 --> 00:02:14,270 You will get destroyed because that would have a moral values. 26 00:02:14,270 --> 00:02:16,830 So this is the scatter plot. 27 00:02:17,390 --> 00:02:22,490 Also if you are getting a little difference between this one and you have output then make sure you 28 00:02:22,490 --> 00:02:28,130 have imported the seaborne library because it affects the visualization of these gloves if you do not 29 00:02:28,130 --> 00:02:31,710 have this one the look will be a little flaccid one. 30 00:02:32,240 --> 00:02:33,880 So this is all about the point plots. 31 00:02:33,920 --> 00:02:40,430 I need to just show you one example that how you can use these just the dataset dot plot and then dot 32 00:02:40,580 --> 00:02:41,910 the matter. 33 00:02:42,080 --> 00:02:45,870 The type of proto are using data and pass parameters if required. 34 00:02:46,850 --> 00:02:48,200 So thanks for watching. 35 00:02:48,200 --> 00:02:50,240 We will continue the next video with Blank Notes.