1 00:00:05,700 --> 00:00:06,340 Hey everyone. 2 00:00:06,910 --> 00:00:10,240 So now we are also done with the distribution plot. 3 00:00:10,390 --> 00:00:19,890 And now we will move to particularly plots so they can include plots are those in which one axis representing 4 00:00:19,900 --> 00:00:26,260 any numerical value or any numerical column and the other one is representing any string column that 5 00:00:26,260 --> 00:00:28,720 is like totally built up on numerical. 6 00:00:28,720 --> 00:00:32,980 And this takes a smoker on the other. 7 00:00:32,980 --> 00:00:36,790 So we have various kinds of category and plots also. 8 00:00:36,790 --> 00:00:43,120 Again you can check them here and click any of these to verify that what type of plot that was. 9 00:00:43,690 --> 00:00:49,930 So first of all indicate the reports also we have the bomb plot like point plots in which we required 10 00:00:50,050 --> 00:00:57,820 only one parameter that is like S.A. and one of them is counter plot. 11 00:00:57,820 --> 00:01:04,630 You just need to write Concorde then we have of X is equal to any column that you need to plot like 12 00:01:05,710 --> 00:01:07,460 I need to applaud Baz. 13 00:01:07,480 --> 00:01:08,650 So here they are. 14 00:01:09,310 --> 00:01:17,090 And the second one is the data that will be equal to IPS no fewer than that one you will get this one 15 00:01:17,360 --> 00:01:19,860 these account plot in which we have four days. 16 00:01:20,560 --> 00:01:22,200 And here the count. 17 00:01:22,690 --> 00:01:24,850 And here we have the day. 18 00:01:25,270 --> 00:01:28,750 So this composite happening that how many times they are repeated there. 19 00:01:29,800 --> 00:01:34,960 After that if you do this one would like smoke. 20 00:01:36,310 --> 00:01:38,810 Then you will have only two blocks still. 21 00:01:38,860 --> 00:01:48,010 That is yes and no here we also have an no crime at this time. 22 00:01:48,110 --> 00:01:55,460 Then we have again in these if you try to add any more parameter like by add Hill a that any numerical 23 00:01:55,460 --> 00:01:57,840 value that is deep I will get data. 24 00:01:58,040 --> 00:02:05,590 If you do the non numerical value like sexier you will again get it because they are the ones that use 25 00:02:05,690 --> 00:02:07,790 only one parameter. 26 00:02:07,790 --> 00:02:13,490 Now let's move to these two in which we require two barometers. 27 00:02:13,550 --> 00:02:20,530 So in that also we have categorized them at two different types first is like that are using point. 28 00:02:20,540 --> 00:02:22,820 Second that are using figures. 29 00:02:22,850 --> 00:02:28,820 So in point we have of something like here. 30 00:02:28,850 --> 00:02:34,340 First let me begin with point blank in that we again require two parameters. 31 00:02:34,340 --> 00:02:41,520 That is first let we have which you can consider a total B plus 1. 32 00:02:42,780 --> 00:02:51,840 And then second we have any known numerical column that is like they here. 33 00:02:52,550 --> 00:02:57,290 And if you run that one you will get something like between that example of point that I have shown 34 00:02:57,290 --> 00:03:02,370 you there here denoting these days and you can also change x y. 35 00:03:02,700 --> 00:03:04,160 Like come on X this one here 36 00:03:07,820 --> 00:03:10,360 and come on v.. 37 00:03:10,370 --> 00:03:12,250 This one and this one is they. 38 00:03:12,880 --> 00:03:14,520 You will get this one. 39 00:03:15,830 --> 00:03:17,020 Numerical value there. 40 00:03:17,090 --> 00:03:18,160 And strings here. 41 00:03:18,170 --> 00:03:21,530 This one is a little good to have strings with x axis. 42 00:03:21,530 --> 00:03:26,530 You can also have here another variables. 43 00:03:26,540 --> 00:03:32,180 And if I have here smoko I will have only two lines. 44 00:03:32,480 --> 00:03:35,410 So that's the point plot similar to point plot. 45 00:03:35,420 --> 00:03:41,660 We have another one that is something like this one and that is known as effective block denoted by 46 00:03:41,660 --> 00:03:42,680 factor note. 47 00:03:43,490 --> 00:03:50,050 So here you will get of plot and it's nearly same as statement just denoting two variables here. 48 00:03:50,150 --> 00:03:58,420 Or we can set parameters and you can also do with factor plot like you can also provide kind here. 49 00:03:58,460 --> 00:04:00,490 This is something like join the plot. 50 00:04:00,560 --> 00:04:04,900 If you add mod here you will get this one. 51 00:04:05,450 --> 00:04:07,130 If you add books here 52 00:04:09,890 --> 00:04:13,890 you will get this one is the box note that we are going to learn in the next video. 53 00:04:14,810 --> 00:04:18,620 So factor loading something like joint plot. 54 00:04:18,650 --> 00:04:22,010 If you add here point it will have that one. 55 00:04:22,100 --> 00:04:24,200 And by default it is also point. 56 00:04:24,680 --> 00:04:34,040 If you check shift tab there we have I think it alerts N2 again. 57 00:04:34,970 --> 00:04:36,090 So leave that there. 58 00:04:36,160 --> 00:04:36,990 It is kind. 59 00:04:36,990 --> 00:04:37,880 You can also check there. 60 00:04:39,020 --> 00:04:42,940 So this is the point plot. 61 00:04:43,070 --> 00:04:51,140 After that we have some plot that are like scatter plots which also point the points on the graph but 62 00:04:52,340 --> 00:04:55,190 a number of points here we have only two points there. 63 00:04:55,250 --> 00:05:06,580 And if we use a swarm plot here and then when we have this one denoting yes and no. 64 00:05:06,580 --> 00:05:08,910 And also the ET you come on. 65 00:05:09,100 --> 00:05:16,060 If you need to have small guts and you also verify that out of those who are smoking which are men and 66 00:05:16,060 --> 00:05:17,370 which are women. 67 00:05:17,620 --> 00:05:25,640 So just add another parameter here and you will get this one here the blue denoting male and orange 68 00:05:25,640 --> 00:05:27,070 are denoting female. 69 00:05:27,100 --> 00:05:32,950 And if you are now like regular data science will good analyzing data and then you need to specify any 70 00:05:32,950 --> 00:05:40,120 particular approach for you like one for categorical one for distribution and one for point clubs and 71 00:05:40,120 --> 00:05:43,670 then just have your own parameters like. 72 00:05:43,870 --> 00:05:49,550 Mostly I prefer to do in distribution the hex blocks and then I use the color that I have shown to there. 73 00:05:49,550 --> 00:05:59,160 Also if you use color here I don't know why they're not showing you you can also choose the color and 74 00:05:59,170 --> 00:06:09,060 there isn't another one that is known as Bailey lady that is B A D E L L E and I think this one is the 75 00:06:09,060 --> 00:06:16,870 spelling for that one and I'm not sure about that one but that we have a check here so this one equal 76 00:06:16,870 --> 00:06:19,360 to like cool. 77 00:06:19,510 --> 00:06:28,840 Here we go the added legal status made linguistic I know mostly pepper to use colors and this is B A 78 00:06:28,870 --> 00:06:35,720 this one is L and this is D I get confused in these two most of the time so here we go. 79 00:06:36,370 --> 00:06:45,970 So here we have this one bubble and light blue so just like this one I prefer this type you can find 80 00:06:45,970 --> 00:06:53,950 yours it's one that what you prefer there are different options here like if you do here magma you will 81 00:06:53,950 --> 00:07:05,770 have soda out more quote here magma you will have this one if you can head here cool room you will have 82 00:07:05,800 --> 00:07:14,530 this one so I just go for the cool one because that's cool and after that this one is this Swan float 83 00:07:14,980 --> 00:07:21,880 and we have also use the Hugh barometer here and related to small implode just like this one we have 84 00:07:21,970 --> 00:07:25,120 another one that is known as the strip bloat 85 00:07:27,850 --> 00:07:35,590 if you use a strip here it's something like us phone but it showed something in straight type not everything 86 00:07:35,920 --> 00:07:38,670 surrounding here like here we have the plots in that one. 87 00:07:40,300 --> 00:07:46,750 So these are the plots that they're uploading they don't form of points as I have shown you all these 88 00:07:46,750 --> 00:07:53,800 one you can also check other if they're available nearly all of them I have covered here this one is 89 00:07:53,890 --> 00:08:01,060 really blocked so if you are looking at that one this is this home plot and this one is this scattergun 90 00:08:02,170 --> 00:08:08,500 so we are not done with that one in the next video we will continue with the plots that are under the 91 00:08:08,500 --> 00:08:16,180 category of plot but those who are using figures instead of these points and I hope you will find that 92 00:08:16,180 --> 00:08:20,290 one more efficient than this one so thanks for watching. 93 00:08:20,290 --> 00:08:21,280 See you in the next video.