1 00:00:01,890 --> 00:00:06,330 OK, now let's start our studio again and start working on the details at. 2 00:00:08,550 --> 00:00:09,880 That does it for this course. 3 00:00:09,940 --> 00:00:16,870 As you have seen, is the host pressing data as file containing the data is attached in the resources 4 00:00:16,870 --> 00:00:17,290 of this. 5 00:00:17,310 --> 00:00:20,290 We do like to download this file. 6 00:00:21,130 --> 00:00:27,130 And in this video, we will import that data from this Yasui we file into our odd workspace. 7 00:00:28,750 --> 00:00:31,270 We learned this in the basics of our section also. 8 00:00:32,110 --> 00:00:34,930 Now let's write this single line of code to import data. 9 00:00:36,010 --> 00:00:41,050 We will import data into a variable called D.F., which stands for Data Final. 10 00:00:42,380 --> 00:00:44,920 So we don't deserve get. 11 00:00:49,880 --> 00:00:50,610 Reid darts. 12 00:00:50,780 --> 00:00:56,030 Yes, we within brackets and double quotation marks. 13 00:00:56,120 --> 00:00:57,320 We will give the address. 14 00:01:08,300 --> 00:01:11,810 Remember to change the backslash to forward leches. 15 00:01:19,550 --> 00:01:23,650 And we will provide another parameter that is headed is equal due to. 16 00:01:34,410 --> 00:01:39,430 Tense audio file contains headers to lexton this. 17 00:01:42,760 --> 00:01:47,800 You can see on the right hand side, we have a variable created with named D.F.. 18 00:01:49,480 --> 00:01:55,510 If you want to view the contents of this variable, easy way provided by our studio is to click this. 19 00:01:58,750 --> 00:02:07,120 And you can see in the bottom left window the console where it is on, which is viewed be if if you 20 00:02:07,120 --> 00:02:10,500 just ride this in this index also, this will give you the same result. 21 00:02:13,010 --> 00:02:20,780 You can see that we have variable names on the top and all the observations are listed below to get 22 00:02:20,780 --> 00:02:23,060 a short summary of the structure of this data. 23 00:02:23,960 --> 00:02:27,920 We'll go back to the script window and we will write SDR 24 00:02:30,590 --> 00:02:31,140 within record. 25 00:02:31,230 --> 00:02:31,920 We already have. 26 00:02:32,510 --> 00:02:41,590 This will give us the structure of the if you can see D.F. is a data frame, which is 506 observations 27 00:02:41,810 --> 00:02:43,100 of 19 variables. 28 00:02:44,170 --> 00:02:51,470 It is giving the list of all the variables and against each it is giving the data type and some values 29 00:02:51,560 --> 00:02:52,310 as an example. 30 00:02:54,250 --> 00:02:55,670 So are you seeing this? 31 00:02:55,700 --> 00:02:58,210 You'll get a feel of what kind of data this is.