1 00:00:06,050 --> 00:00:07,150 Here everyone. 2 00:00:07,480 --> 00:00:12,890 So now we are done with the data science we have been data is obviously mission and data analyses tools 3 00:00:12,930 --> 00:00:13,340 here. 4 00:00:13,790 --> 00:00:17,830 And now we are going to do a little concept that is known as geographic reporting. 5 00:00:17,870 --> 00:00:23,480 Also a few students are thinking that we are going to also learn here this guy by Skype Spike types 6 00:00:23,480 --> 00:00:29,840 of liberty that are used for mathematical calculations and are under the machine learning part somehow. 7 00:00:29,870 --> 00:00:33,970 So that's something related to like mathematical analyses. 8 00:00:33,980 --> 00:00:36,920 And again the machine learning type of stuff. 9 00:00:36,920 --> 00:00:42,230 So I have included the portion here that belongs to General data size in which you analyze the data 10 00:00:42,260 --> 00:00:49,120 you upload the data and get you a vector that part if I included here Miss test equals too long. 11 00:00:49,130 --> 00:00:56,120 And that would be too boring for you but for that also that will be deterred because of this a program 12 00:00:57,050 --> 00:01:02,870 like this one by 10 then by 10 doing then machine learning in that you will find all the data related 13 00:01:02,870 --> 00:01:08,550 to debt liabilities and keep checking because that course will also be free for the first month. 14 00:01:08,720 --> 00:01:14,310 And keep checking here in my I.D. so that you can and all that goes for free. 15 00:01:14,760 --> 00:01:16,790 Otherwise you will get the coupon for that one. 16 00:01:17,900 --> 00:01:21,970 So here we are going to learn the geographical plotting. 17 00:01:22,250 --> 00:01:28,550 That is something like we have done Diplo things and plotted on the graph for we have learned the data 18 00:01:28,820 --> 00:01:34,430 analyzed that one and plotted that went on graphs but what if you need to put something on global level 19 00:01:35,090 --> 00:01:37,740 like you need to analyze the world population. 20 00:01:37,910 --> 00:01:43,130 What did you depict growth agriculture gloat something like that but then you're going to do all this 21 00:01:43,130 --> 00:01:46,610 stuff on simple plots you need something big. 22 00:01:46,610 --> 00:01:48,350 So here is that thing. 23 00:01:48,490 --> 00:01:53,620 Is geographical plotting that how you can plot the data on a global scale. 24 00:01:53,810 --> 00:01:58,760 This is something that you have seen the graphs or likely world graphs. 25 00:01:58,790 --> 00:02:01,180 Let me show you that one on Google. 26 00:02:02,000 --> 00:02:08,810 So if you go to just Google and there geo fiscal 27 00:02:13,340 --> 00:02:14,920 indication that one 28 00:02:20,390 --> 00:02:25,590 so here we didn't know that this one 29 00:02:28,480 --> 00:02:32,570 left me using python there. 30 00:02:32,730 --> 00:02:33,340 There we go. 31 00:02:33,930 --> 00:02:40,170 So these kinds of plot I think most of you have already seen these plots like this one showing something 32 00:02:42,000 --> 00:02:49,860 these things these graph these color graphs they are this one showing like these colors which related 33 00:02:49,860 --> 00:02:51,230 to different values of data. 34 00:02:51,600 --> 00:02:54,830 So something like that one this thing is we are going to learn here. 35 00:02:55,350 --> 00:03:02,530 And one more thing I'm going to include only one plot here that is equally split and there are few more 36 00:03:02,980 --> 00:03:07,430 than that one like these maps and etcetera that you can google out and work with them. 37 00:03:07,450 --> 00:03:12,910 Also this one is the basic one used for teaching so that you will get the idea that what that thing 38 00:03:12,940 --> 00:03:19,200 is test you will get to learn more about this when we do a project date do geographical plotting. 39 00:03:19,870 --> 00:03:23,130 So thanks for watching and we will continue from the very next video.