1 00:00:01,540 --> 00:00:11,590 ‫Now let us learn how to create a histogram in our Instagram in R is created using a command at USD est. 2 00:00:12,300 --> 00:00:14,100 ‫Let us look at the customer data once again 3 00:00:16,910 --> 00:00:18,550 ‫in this data. 4 00:00:18,550 --> 00:00:21,900 ‫The Age variable as numeric values. 5 00:00:21,900 --> 00:00:29,460 ‫If you want to see the distribution of this age variable or different age categories you want to first 6 00:00:29,460 --> 00:00:33,710 ‫create the categories of this age and against each category. 7 00:00:33,750 --> 00:00:39,110 ‫You want to get the count of customers who belong to that category. 8 00:00:39,120 --> 00:00:42,540 ‫Instagram is the blog which gives us this value. 9 00:00:42,540 --> 00:00:43,650 ‫Same as bad blog. 10 00:00:43,680 --> 00:00:50,580 ‫The height of the bars in a histogram will give us the frequency of each category coming in our data. 11 00:00:52,260 --> 00:00:54,260 ‫So let us create the histogram for this. 12 00:00:54,720 --> 00:01:04,170 ‫Each variable we will write history and within bracket specify these very well so it belongs to customer 13 00:01:04,170 --> 00:01:04,560 ‫data 14 00:01:07,390 --> 00:01:14,520 ‫dollar and intellect age but underscore mine. 15 00:01:14,940 --> 00:01:19,630 ‫Instagram comes on the bottom side. 16 00:01:20,610 --> 00:01:27,630 ‫It gives us the frequency of each category of age which art has created on its own. 17 00:01:27,630 --> 00:01:36,380 ‫It has created eleven bucket by default and assigned the frequency to each category. 18 00:01:36,390 --> 00:01:43,320 ‫Now if you want to create a different bucket so if you want only five bucket you can change this by 19 00:01:43,380 --> 00:01:55,770 ‫using the barometer called breaks to within Instagram will again mention customer dollar age karma 20 00:01:58,900 --> 00:02:03,100 ‫Biggs is equal to fame 21 00:02:08,940 --> 00:02:17,640 ‫you can see this has now six bars we told it to have five but so the number five that we gave it is 22 00:02:17,640 --> 00:02:19,010 ‫a suggestive number. 23 00:02:19,050 --> 00:02:25,650 ‫It does not chart that out will create only five bars I can create more than five or less than five 24 00:02:25,650 --> 00:02:26,580 ‫bars also. 25 00:02:26,580 --> 00:02:28,990 ‫So in that case it has created six bars. 26 00:02:29,220 --> 00:02:37,050 ‫But if you want around five bars you have suggested using the breaks parameter. 27 00:02:37,090 --> 00:02:41,310 ‫There are other ways of suggesting the categories. 28 00:02:41,310 --> 00:02:50,250 ‫So if you do not want it to start from 10 and have a word of 10 to 20 then 230 you can give the weight 29 00:02:50,310 --> 00:02:55,450 ‫of these categories to specify the words we will rate. 30 00:02:55,770 --> 00:02:57,600 ‫Let us copy paste command. 31 00:03:00,180 --> 00:03:07,590 ‫And after breaks we will see and within bracket we will write these values. 32 00:03:07,590 --> 00:03:18,580 ‫So we wanted to be from zero to 40 40 to 60 and 60 200. 33 00:03:18,630 --> 00:03:27,600 ‫So basically I am categorizing my customers or belong to young middle aged and aged customers. 34 00:03:27,600 --> 00:03:31,720 ‫So these three categories will be created divide on this. 35 00:03:32,060 --> 00:03:38,240 ‫So now we have zero to 40 40 to 60 60 two hundred. 36 00:03:38,250 --> 00:03:46,040 ‫Notice that when we ran this command out has automatically taken the frequency identity on the different 37 00:03:46,050 --> 00:03:55,020 ‫side which means if you take out the area of this chart it will give you the frequency of customers 38 00:03:55,020 --> 00:03:57,730 ‫belonging to each category. 39 00:03:57,810 --> 00:03:59,520 ‫We do not want it to be like this. 40 00:03:59,820 --> 00:04:06,090 ‫So we will need another parameter which is what frequency and which we write as if on cue 41 00:04:09,450 --> 00:04:10,060 ‫is equal good. 42 00:04:10,170 --> 00:04:10,570 ‫True. 43 00:04:11,730 --> 00:04:13,810 ‫So this will give us frequencies only. 44 00:04:13,890 --> 00:04:22,760 ‫Now you can see most of the customers belong to 0 to 40 age group and least belong to 60 200 age group. 45 00:04:23,160 --> 00:04:30,630 ‫Again as we discussed in bar plot you can change the color of this distribution although you can copy 46 00:04:30,630 --> 00:04:37,080 ‫paste this line and will add the parameter of color which is. 47 00:04:37,080 --> 00:04:37,650 ‫See you. 48 00:04:37,660 --> 00:04:37,950 ‫L 49 00:04:42,160 --> 00:04:45,580 ‫is equal to let's call it blue 50 00:04:51,180 --> 00:04:53,050 ‫and this command. 51 00:04:53,080 --> 00:04:55,410 ‫You can see this now has blue color. 52 00:04:57,600 --> 00:05:05,100 ‫If you want to change the name of this chart you can use the main parameter too. 53 00:05:05,470 --> 00:05:10,880 ‫Right now it has a heading which just took it out of customer dollar age. 54 00:05:10,920 --> 00:05:14,040 ‫That is the variable that we had. 55 00:05:14,040 --> 00:05:20,020 ‫You may not want this in a presentation to the histogram of age. 56 00:05:20,520 --> 00:05:25,550 ‫If we'd done this the main heading is updated. 57 00:05:25,590 --> 00:05:32,970 ‫We can also change the x label for this Instagram just in the same way we discussed what about plot 58 00:05:33,450 --> 00:05:36,060 ‫the parameters for this will be X Lab. 59 00:05:36,120 --> 00:05:38,660 ‫We are not doing this. 60 00:05:39,300 --> 00:05:46,980 ‫Once this Instagram is created you can export this into an image file or I believe and use it in your 61 00:05:47,400 --> 00:05:49,110 ‫presentation to do that. 62 00:05:49,110 --> 00:05:56,310 ‫There is this export option in our studio or you can revisit debug laws selected in that we told you 63 00:05:56,310 --> 00:05:59,420 ‫the command to run to create a BMG file.