1 00:00:05,780 --> 00:00:09,640 Hey even this video is about the overview of project network. 2 00:00:09,640 --> 00:00:10,590 We are going through here. 3 00:00:11,320 --> 00:00:14,890 So first of all you are going to get this data of this model. 4 00:00:15,310 --> 00:00:21,940 I will try to upload all the data with this model but in case you did any validation by Udemy on the 5 00:00:21,940 --> 00:00:24,730 size of complete cost then maybe I would not be able to. 6 00:00:24,730 --> 00:00:30,910 Because if you cant see here defies up to last 2.5 seventy eight one nine point three AM. 7 00:00:31,390 --> 00:00:35,500 But I will try my best to upload these files in case I need not able to. 8 00:00:35,500 --> 00:00:42,730 I will provide you the link but if you get these files then they will be like this one download device 9 00:00:43,120 --> 00:00:44,690 and then go with the project. 10 00:00:45,250 --> 00:00:50,580 So in that case you will not find any difficulty to get these files now. 11 00:00:50,660 --> 00:00:55,880 After that when you get this data you will have some particular numbers before them. 12 00:00:55,910 --> 00:00:59,000 Like donations have one then two. 13 00:00:59,420 --> 00:01:03,720 In your case you are going to have something like two and three into hundreds. 14 00:01:03,740 --> 00:01:08,190 That is the number of that particular item I can see. 15 00:01:08,250 --> 00:01:11,250 So you have to remove that number. 16 00:01:12,430 --> 00:01:16,290 By renaming define just remove this too. 17 00:01:16,360 --> 00:01:21,770 And this point so that files will look like donations to CSC donors or CSP. 18 00:01:21,790 --> 00:01:28,150 Make sure you will not leave any space before the name here. 19 00:01:29,480 --> 00:01:36,570 This one and change the name of all fights like this one so that you will not find. 20 00:01:36,740 --> 00:01:41,560 You will not get it in difficulty while uploading these fights in your project. 21 00:01:41,560 --> 00:01:45,600 Now I have all defies the day particular needs. 22 00:01:45,760 --> 00:01:47,810 So this is the first thing you need to do here. 23 00:01:47,830 --> 00:01:50,800 Now let me show you the project. 24 00:01:50,860 --> 00:01:53,380 So this is what your project will look like. 25 00:01:53,380 --> 00:01:54,760 This has its course there. 26 00:01:55,390 --> 00:01:56,700 And what we are going to do here. 27 00:01:56,710 --> 00:02:01,780 We are going to analyze that particular data in this module. 28 00:02:01,780 --> 00:02:04,810 That particular data is like these files here. 29 00:02:04,810 --> 00:02:10,900 These are the simple things you will get from so you would not get there to create a notebook like this 30 00:02:10,900 --> 00:02:11,580 one. 31 00:02:12,030 --> 00:02:17,560 Here I have written the tasks for particular things that we need to do here. 32 00:02:18,740 --> 00:02:27,000 And if you can see here we have some graphs related to that particular data like number of school projects 33 00:02:27,300 --> 00:02:34,250 involved in projects by state top 10 states that get the donations more than an average something like 34 00:02:34,250 --> 00:02:39,940 these those donations count and you will find a number of plots here. 35 00:02:39,950 --> 00:02:44,240 This is what the data analyses of any particular data is in. 36 00:02:44,270 --> 00:02:47,450 We have learned to create the data we have. 37 00:02:48,030 --> 00:02:50,630 That how actually things work. 38 00:02:50,630 --> 00:02:55,610 We have also worked on the data that we will get while working on other projects in colleges and in 39 00:02:55,610 --> 00:02:56,900 companies. 40 00:02:56,900 --> 00:03:03,470 In this model what we can say with this project we are going to work officially that how things work 41 00:03:03,920 --> 00:03:11,050 how we can have some data in these kinds of files and how we analyze the data. 42 00:03:11,120 --> 00:03:14,460 Now we have visualized the data and lies on a small scale. 43 00:03:14,930 --> 00:03:18,580 But in this model we are going to do it on a very large scale. 44 00:03:18,620 --> 00:03:26,070 As I have told you that this number of files there 68 million plus and we are going to analyze that 45 00:03:26,070 --> 00:03:32,760 particular data and plot visualizations according to that particular data and the analyses will be something 46 00:03:32,760 --> 00:03:35,760 like states that fund projects faster than other state. 47 00:03:36,090 --> 00:03:38,150 So this is what the data analysis is. 48 00:03:38,310 --> 00:03:43,500 You will find the things that are superior than those so that are not superior that are making profit 49 00:03:43,530 --> 00:03:48,350 or that are making losses so that you can improve your own business or someone as business. 50 00:03:48,360 --> 00:03:55,300 If you look in company so I hope you go to the idea and this project is something you can also achieve 51 00:03:55,390 --> 00:04:00,700 in your school projects put in your code is projects or you can just replace the data take used and 52 00:04:01,000 --> 00:04:09,330 analyze the data like this one and you would have you on project because this one is like college finally 53 00:04:09,330 --> 00:04:11,770 a project like major projects. 54 00:04:12,000 --> 00:04:15,880 So this one is going to take a lot of effort. 55 00:04:16,000 --> 00:04:17,980 I hope you will do this one completely. 56 00:04:18,490 --> 00:04:23,120 So thanks for watching from the very next video we will start to work on this project. 57 00:04:23,410 --> 00:04:23,890 See you then.