1 00:00:02,200 --> 00:00:02,760 Hi guys. 2 00:00:02,760 --> 00:00:03,680 Welcome to this session. 3 00:00:03,680 --> 00:00:09,480 So in this session we wanted to see another capability of ChatGPT four which can help you with analyzing 4 00:00:09,480 --> 00:00:10,680 data in graphs. 5 00:00:10,800 --> 00:00:15,160 So we can also upload data or graphs to ChatGPT four. 6 00:00:15,760 --> 00:00:19,480 And it can analyze and give us insights around that as well. 7 00:00:19,520 --> 00:00:22,160 So let's see this in practical how this would be happening. 8 00:00:22,480 --> 00:00:25,800 So let's say we're going to start off with the first one. 9 00:00:26,640 --> 00:00:27,720 We can upload the image. 10 00:00:27,720 --> 00:00:33,360 First let's say it's a scatter graph which we are uploading. 11 00:00:33,840 --> 00:00:35,760 And we give it we analyze. 12 00:00:35,800 --> 00:00:41,840 We give the prompt over here to analyze the scatter plot and estimate a curve that adjusts to the data. 13 00:00:41,880 --> 00:00:45,920 So it's going to look at this image and try to analyze it. 14 00:00:46,120 --> 00:00:50,160 And based on which it's going to estimate the curve that adjust to the data. 15 00:00:50,880 --> 00:00:56,520 So you can see it is giving us the information over here in this particular manner okay. 16 00:01:00,800 --> 00:01:04,880 It's asking us, would you like me to estimate the equation more precisely fitting the data to the linear 17 00:01:04,880 --> 00:01:05,680 regression? 18 00:01:05,680 --> 00:01:07,040 I'm saying yes please. 19 00:01:15,990 --> 00:01:17,190 It's going to analyze it. 20 00:01:22,550 --> 00:01:25,910 So now it has gone ahead and created that for us. 21 00:01:25,910 --> 00:01:29,870 So we get to see the information clearly now in this particular manner. 22 00:01:30,270 --> 00:01:31,510 So this is one of them. 23 00:01:31,550 --> 00:01:35,110 Another one which you can do is you can also upload graphs over here. 24 00:01:35,310 --> 00:01:41,990 So let's say we are uploading graphs which is going to be related to a bar graph let's say. 25 00:01:49,030 --> 00:01:53,710 And now we give it a prompt to take this bar chart and describe the relationship between the categories 26 00:01:53,710 --> 00:01:54,870 and their values. 27 00:01:58,350 --> 00:02:02,990 It's going to look at the bar chart and based on which it's going to understand the relationship between 28 00:02:02,990 --> 00:02:05,030 the categories and give us information. 29 00:02:05,030 --> 00:02:10,990 You can see it has picked up all the details from it and giving us some observations of the chart as 30 00:02:10,990 --> 00:02:11,310 well. 31 00:02:11,590 --> 00:02:12,230 Right here. 32 00:02:14,550 --> 00:02:15,910 This is great information. 33 00:02:15,950 --> 00:02:17,550 Now put up in a structured manner. 34 00:02:17,550 --> 00:02:23,430 It is analyzing the the charts which we provided it and based on which it is sharing its findings with 35 00:02:23,430 --> 00:02:25,150 us, observations with us. 36 00:02:25,710 --> 00:02:32,890 Let's look at another format where we're going to ask ChatGPT to compare the data on the graphs. 37 00:02:33,250 --> 00:02:33,450 Okay. 38 00:02:33,490 --> 00:02:34,930 So let's look at that. 39 00:02:45,290 --> 00:02:53,010 And now we can give the prompt, compare these two graphs in to integrate the indicators and provide 40 00:02:53,010 --> 00:02:54,210 insight and action items. 41 00:02:54,210 --> 00:02:56,210 Let's see what it does with this. 42 00:02:57,050 --> 00:02:58,530 So we're giving it a particular. 43 00:03:01,890 --> 00:03:03,050 Information over here. 44 00:03:08,170 --> 00:03:10,170 It's giving us the whole process behind it. 45 00:03:10,370 --> 00:03:10,850 Okay. 46 00:03:10,930 --> 00:03:15,850 In this particular manner it's comparing the two graphs and then giving us the insight. 47 00:03:15,890 --> 00:03:23,930 You can see this is how the power would be of ChatGPT four where it can interpret graphs as well data 48 00:03:24,010 --> 00:03:24,450 as well. 49 00:03:24,450 --> 00:03:30,450 And then solve it for you, analyze it and then give its insights and findings to you which you can 50 00:03:30,450 --> 00:03:31,250 make use of. 51 00:03:31,530 --> 00:03:32,570 I hope this makes sense. 52 00:03:32,570 --> 00:03:35,730 You understand this feature of ChatGPT four as well. 53 00:03:35,970 --> 00:03:40,050 Thank you so much, guys for listening to this and I will see you in the next video.