1 00:00:00,280 --> 00:00:07,746 [country themed introduction music] 2 00:00:07,746 --> 00:00:10,151 (male narrator) Hello in this screencast we'll take 3 00:00:10,151 --> 00:00:14,145 a detail look at clustered columns type of graph. 4 00:00:14,599 --> 00:00:19,662 Let's say you have this data set here Widgets Inc. and you have a bunch of data 5 00:00:19,662 --> 00:00:24,642 about sales of the various different regions and across different years 6 00:00:25,255 --> 00:00:28,834 and I also have done subtotals here by region and by year, 7 00:00:29,422 --> 00:00:35,927 and let's say we want to create a simple clustered column graph for this data. 8 00:00:36,321 --> 00:00:45,107 First you select the data set, insert a column I just choose a plain 2-D column, 9 00:00:45,107 --> 00:00:50,732 and that's your simple graph right there but you can see that it's got some 10 00:00:50,732 --> 00:00:54,248 unnecessary data that probably does not belong in this graph 11 00:00:54,248 --> 00:00:59,907 for example it has totals by year and it also has totals by region. 12 00:01:02,054 --> 00:01:03,725 So how do we remove this data? 13 00:01:03,952 --> 00:01:10,140 Okay so let's first, select this graph just make sure that it's highlighted. 14 00:01:10,795 --> 00:01:14,317 When you do then you will see a design tab here with all this information 15 00:01:14,717 --> 00:01:16,574 now click on select data. 16 00:01:17,288 --> 00:01:21,314 When you click this button you will see a pop up box appear here 17 00:01:21,614 --> 00:01:26,659 and what you can do here is if you see a column here that doesn't belong 18 00:01:26,659 --> 00:01:30,839 for example, totals by year, you can just select it and click remove. 19 00:01:31,234 --> 00:01:36,647 Now then totals by year goes away and you just have the North, South, East, and West 20 00:01:36,647 --> 00:01:40,447 represented in your graph and you can see that your graph is slightly changed 21 00:01:40,447 --> 00:01:41,579 to reflect that. 22 00:01:42,529 --> 00:01:44,763 Supposing you want to remove totals by region. 23 00:01:44,946 --> 00:01:50,196 What you can do is first switch row and column and now you have totals by region 24 00:01:50,196 --> 00:01:55,697 as one of the rows and you can just click remove to take that out 25 00:01:55,916 --> 00:01:57,942 and now you just have the different years 26 00:01:59,139 --> 00:02:04,561 and if you want to can get back to your original configuration so that you have... 27 00:02:08,421 --> 00:02:13,381 let's say each column be a year and within each column 28 00:02:13,381 --> 00:02:17,553 the height represents the total sales and within each year you have 29 00:02:18,471 --> 00:02:21,338 four different sub columns, each for a different region. 30 00:02:22,138 --> 00:02:26,739 And if you want you can interchange this so that you have instead of 2009-2010. 31 00:02:26,988 --> 00:02:29,639 You have North, South, East, and West appear here 32 00:02:30,013 --> 00:02:32,342 so this will be North, South, East, and West 33 00:02:32,342 --> 00:02:35,892 and instead of the years appearing here you can have each of these columns 34 00:02:35,892 --> 00:02:36,962 be a year. 35 00:02:37,541 --> 00:02:40,931 To do that again select the graph, make that active, 36 00:02:42,238 --> 00:02:48,582 click on switch row and column so as soon as you do it your rows and columns 37 00:02:48,582 --> 00:02:49,798 are interchanged. 38 00:02:50,981 --> 00:02:56,131 So that's a quick and simple way to create a simple bar chart with clustered columns. 39 00:02:57,264 --> 00:03:00,139 What if you wanted to have a slightly different style? 40 00:03:00,139 --> 00:03:04,970 Instead of clustered columns maybe you want to have all the columns stacked up 41 00:03:04,970 --> 00:03:06,276 one on top of another. 42 00:03:06,492 --> 00:03:07,775 It's simple to do that. 43 00:03:07,952 --> 00:03:12,050 Just click on change chart type and then you will be presented 44 00:03:12,050 --> 00:03:17,267 with all the different options and you can just select a stacked column, click OK, 45 00:03:17,443 --> 00:03:20,068 and that will result in this kind of a stacked column. 46 00:03:20,068 --> 00:03:26,257 And now you can actually see what's the total sales in each year. 47 00:03:26,543 --> 00:03:30,503 So you can see that or in this case in each zone you can see that 48 00:03:30,630 --> 00:03:36,384 East has the highest sales and within each zone you have the sales 49 00:03:36,384 --> 00:03:37,944 broken up by the year. 50 00:03:38,259 --> 00:03:43,209 Or you can switch rows and columns and now you have the total sales by each year 51 00:03:43,209 --> 00:03:47,486 and for each column you have it broken down by sales by region. 52 00:03:48,803 --> 00:03:52,036 So that's how you can change the chart type on-the-fly. 53 00:03:55,005 --> 00:03:59,751 Another neat thing you can do is to create Sparklines. 54 00:03:59,751 --> 00:04:02,746 Ok so let me just actually delete this for now. 55 00:04:02,746 --> 00:04:05,176 And what you can do is create Sparklines 56 00:04:07,626 --> 00:04:09,406 I will show you what I mean by that. 57 00:04:09,406 --> 00:04:15,055 So let's just create a new column called trends and let's say you want to create 58 00:04:15,055 --> 00:04:17,365 a trend for each of these columns. 59 00:04:17,702 --> 00:04:25,392 Okay, so one way to do that is to click on the cell H3 here and go on to insert 60 00:04:28,922 --> 00:04:35,242 and in this Sparklines lines box here just click on line 61 00:04:36,725 --> 00:04:38,542 and it asks for a data range. 62 00:04:38,851 --> 00:04:44,069 So you can just click on this data range right here, click OK, 63 00:04:44,736 --> 00:04:50,186 and location range would be this one right here, and you click OK, and you will see 64 00:04:50,186 --> 00:04:55,683 a line here that represents a trend for all these four data points. 65 00:04:56,984 --> 00:05:01,251 Now if you are obviously you don't want to just draw a line, a graph, 66 00:05:01,251 --> 00:05:05,134 for just this one row you want to do it for the entire region 67 00:05:05,134 --> 00:05:06,984 and to do that what you do is, 68 00:05:09,274 --> 00:05:16,604 let me just edit this here, you can edit the data and instead of saying data range 69 00:05:16,604 --> 00:05:21,718 is just C3 through F3 I can make the data range be this entire region 70 00:05:23,181 --> 00:05:27,920 and instead of saying the location is just this, H3, you can see the location 71 00:05:27,920 --> 00:05:33,564 is all four cells here and you click OK and now you have four different lines. 72 00:05:33,684 --> 00:05:38,588 Each of these lines represents the trend of sales in this region right here. 73 00:05:40,194 --> 00:05:41,977 So that's a Sparkline. 74 00:05:42,301 --> 00:05:47,313 You can make the Sparkline line a little bit more informative by changing 75 00:05:47,313 --> 00:05:48,646 its format a little bit. 76 00:05:48,962 --> 00:05:55,136 So you can go to design, just select the Sparklines, all of them, 77 00:05:55,136 --> 00:06:01,550 and then click design and you can say you want to highlight the high point. 78 00:06:01,757 --> 00:06:05,776 If you do that whichever is the highest point in this graph will be highlighted 79 00:06:05,776 --> 00:06:10,201 for somebody that's looking at it, it'll be easy to see in which year 80 00:06:10,201 --> 00:06:15,292 the highest sales happen and you can change the style of your Sparklines 81 00:06:15,292 --> 00:06:19,374 to something more appealing, say something like this for example. 82 00:06:19,977 --> 00:06:30,141 If you want you can also change, you know, put a color to the markers if you do this 83 00:06:30,141 --> 00:06:34,254 then you'll have markers for each of the different points and so on. 84 00:06:34,877 --> 00:06:37,861 So these are all some neat ways in which you can display data. 85 00:06:38,726 --> 00:06:41,986 So that's all for now I hope you enjoyed this thanks for watching. 86 00:06:44,079 --> 00:06:51,309 [country themes music]