1 00:00:01,230 --> 00:00:10,110 ‫So now that we have learned how to install and remove packages let us learn about how to add data on 2 00:00:10,110 --> 00:00:13,370 ‫which we want to perform our analysis. 3 00:00:13,380 --> 00:00:14,700 ‫There are three ways. 4 00:00:14,700 --> 00:00:17,750 ‫One is to use us building data sets. 5 00:00:17,780 --> 00:00:25,260 ‫Other is you can enter data manually and stored in variables create data tables and the third option 6 00:00:25,260 --> 00:00:28,830 ‫is you can import your data from a CSP file or a text file. 7 00:00:30,720 --> 00:00:32,770 ‫Let us look at the first option. 8 00:00:33,330 --> 00:00:36,540 ‫Has a building package called the data set package. 9 00:00:37,170 --> 00:00:46,810 ‫If you go to the packages option and scroll down you can find the data set package in the system library 10 00:00:48,210 --> 00:00:50,180 ‫that is a data search package. 11 00:00:50,180 --> 00:00:51,080 ‫So does it start. 12 00:00:51,230 --> 00:00:55,600 ‫You will just click here to make it available. 13 00:00:56,090 --> 00:01:04,460 ‫If you want to look at the list of data set that are part of this package you can just write data open 14 00:01:04,460 --> 00:01:05,270 ‫and close bracket 15 00:01:08,540 --> 00:01:15,370 ‫press control enter and you will get a list of all the data set that that part of this package with 16 00:01:15,370 --> 00:01:17,160 ‫a smaller description in front of the name 17 00:01:20,350 --> 00:01:27,070 ‫another way of doing the same thing is we can bait library 18 00:01:32,810 --> 00:01:35,980 ‫and within brackets will rate help is equal to 19 00:01:38,870 --> 00:01:41,630 ‫double quotation marks because it 20 00:01:44,990 --> 00:01:52,340 ‫would underscore my you can see it is giving you the same list of all the data set available in the 21 00:01:52,340 --> 00:01:59,570 ‫package now in this list of packages you can see there is a data set called Iris 22 00:02:02,450 --> 00:02:11,350 ‫let us learn something about this dataset so we'll go to our script window and we'll write. 23 00:02:11,560 --> 00:02:13,020 ‫Question mark Iris 24 00:02:15,720 --> 00:02:16,380 ‫is it all lose. 25 00:02:16,410 --> 00:02:22,410 ‫This will tell us what that dataset contains in the help section. 26 00:02:22,410 --> 00:02:25,230 ‫You can see the description of this data. 27 00:02:25,230 --> 00:02:33,430 ‫The format of the data the source Tegra ie this is basically data of class and it contains data such 28 00:02:33,430 --> 00:02:35,290 ‫as SEPA land. 29 00:02:35,560 --> 00:02:43,600 ‫You can see here separate land several great land pedal worked and the species to let us look at the 30 00:02:43,600 --> 00:02:56,550 ‫structure of this dataset to see the structure relate as these are and within bracket relate this control. 31 00:02:57,460 --> 00:03:04,720 ‫So as I told you it has five variables simple land weird but the land where 10 species and it has 150 32 00:03:04,720 --> 00:03:12,650 ‫observations so basically it and it has 50 floors of tree species. 33 00:03:12,670 --> 00:03:14,590 ‫So that's why 150 observations. 34 00:03:14,770 --> 00:03:22,540 ‫And when you write SDR it is giving the structure of this data frame and it is telling you the column 35 00:03:22,540 --> 00:03:27,490 ‫name column type and few observations of that column. 36 00:03:28,450 --> 00:03:35,280 ‫So whenever you get new data you should look at the structure of the data to know more about the data 37 00:03:36,750 --> 00:03:49,420 ‫if you want to look at the data you just write Iris and present it right as presented so you can see 38 00:03:49,990 --> 00:03:56,580 ‫these are the 150 rows with five columns. 39 00:03:56,600 --> 00:04:02,210 ‫Now if you want to load this data set into your workspace you need to write data 40 00:04:05,120 --> 00:04:06,560 ‫within brackets Iris 41 00:04:11,590 --> 00:04:20,980 ‫control and now you can see Iris is part of the workspace now and you can use it for net analysis.