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Using charts effectively is a great way to make otherwise complex data relationships easier to understand. Let me show you how to bring in a basic chart into Keynote. I am going up to the toolbar here. We'll click on the Chart button and if I click-and-hold I see a selection of different types of charts that I can start with. On this side are 2D charts and on the right side here there are 3D charts. I'll start with the basic classic Bar Chart. And once I drop it and you see a couple of things happen. One is, of course, the chart appears down below and then up here the Chart Data Editor appears and this is a sample set of data.
Every chart starts out with a sample set of data. If there's no data in the Chart Editor, there's no chart appearing. It's all based on what's happening in the Data Editor. And so for each chart type Keynote provides you with some sample data just to get started. So this is again, like a lot of other elements in Keynote, think of these as templates from which to start. Right now, this particular chart is plotting itself based on the Columns. So these two buttons will determine how the data is being viewed. For instance, in a Column View, you see here the chart is relating to these Columns, 2007, 2008 and then the two values inside of that.
If I go up here and change the Orientation, now I could be plotting the Rows to the Columns. So in other words, I have Region 1 and four data points that's associated with Region 1. So this is a handy tool to use if you want to change the view of your particular data, sometimes you might even want to do it from Slide to Slide, just to give your audience a different view that might make more sense to that. Changing the data of a chart is very easy. Click in the Chart Editor, it's like a spreadsheet and you can enter in a value, hit Enter and you can see it, immediately reflected in the chart. In fact, I can change the label here of this particular chart for our final chart that we are building, I'll call this one, Weight, as we are doing a Power To Weight ratio chart and I'll make this one Power.
We'll come back to the Data Editor a little bit later. Right now I also want to show you some of the other charts that are available and kind of getting a general overview of when you want to use a particular chart for a particular type of data set. There are many ways to change your chart, one is here in the Format bar, you can go over here, click and hold, then you can see the different types of charts, separated by the 2D charts on the top and the 3D ones in the bottom. I can change this one to Stacked Column for instance, but what I'd like to do is go to the Inspector and go under the Chart Inspector where we are now and I have this little pull-down menu, it gives me a more visual representation of the different types of charts that are in there.
So, you can see we could do a Bar Graph that's horizontal, sometimes that's effective and specially if there are large differences in the data set, you usually have more horizontal space in this presentation than vertical space. There are plot lines where if you're comparing two trends of data. That can be very helpful and all these also have a similar 3D representation. So sometimes it can be more dramatic and more interesting to show your data in a 3D way. There is even of course your traditional pie charts. Pie charts are best to use when you're describing a percentage or a proportion of a whole, how the different parts, all make up a particular whole. There's a Scatter Chart, it has to be used in a right way because it's rather abstract, but for some things, if there is like a lot of tiny little bits of data, it can be a very effective way to make a point.
What we're going to be using for our sample chart is this one down here at the bottom. This is called a Two Axes chart and it's one of a more complicated ones, but if used right, it can be really, really interesting. So, choosing the right chart for the data you're presenting is critical and Keynote gives you a lot of choices and flexibility to do that and we'll be going deeper into charts in the upcoming lessons.
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