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Our chart is looking pretty good. Let's go ahead and make one more quick change to it. Go ahead and select your legend and drag it down here to the bottom. All right, things are looking pretty good. Now, you may be asking yourself, have I chosen the best type of graph to convey the message that I want to convey about these particular data? Now remember, what we're showing here is a comparison between the monthly snowfall for the past hundred years and a monthly snowfall for the past ten years at our particular ski resort. What we want our users to do is to be able to target the best months in order to go to have the best experience of hitting the slopes.
So let's go ahead and change our chart type and look at our data as it's being graphed in other types of charts. To do this, simply click one time on your chart to select it and then go ahead over to your Chart Inspector and click the big button here at the top for Choose a chart type. Now, we can choose a different chart type and see our data displayed in that chart. Let's come down and select the stacked column chart and see how our data looks there. It's an interesting looking chart. Our axes have now been reversed so that the X axis from before is now over here on the Y axis, and our labels have been applied, so we have Months on the Y axis and Average Snowfall in Inches on the X axis.
When we look at the data, though, we can see that the values that are being reported in the length of the bars are the sum between our 100-year and our 10-year average. Now this doesn't make any sense whatsoever for our users to be able to look at and make any kind of a judgment call as to when they should go to the slopes. So this is not a good choice for us. Let's go ahead and change our graph to another option. This time let's go ahead and select the Column Chart. If we remember that column chart allows us to do comparisons on things over time.
So as we look at this chart type, we can clearly see that the particular months that may be of interest for us to go skiing have a good amount of snowfall in both the 100-year and in the 10-year averages. So if we think we might want to use this chart, let's go ahead and look at some of the other chart color options that we could have to brighten up the chart. We do that by coming over to the Chart Inspector and clicking on the button for chart colors. Here, we can choose from a variety of different types of chart colors, 3D Texture Fills, 2D Image Fills, or 2D Color Fills.
Once you choose one of these options, such as 2D Image Fills, you can then choose from the second dropdown option to look at a variety of different color palettes available in that type of fill. In this case, we've got Bright, Corrugated, Fun. Let's go ahead and select Fun and see how that looks. To apply your change, you come down to the bottom, and you click the Apply All button if it's available. Now, I say if it's available because not all of these color schemes are available for all of the different types of charts. This is looking pretty good.
So we'll go ahead and close the Chart Colors window. But when we really look at this data, it doesn't really make a whole lot of sense for our travelers to be making a direct comparison for the 100-year and 10-year average snowfalls. They're not really worried about what the trend is locally within those two months, just does the local trend hold with the longer-term trend. So in this case, while this chart is a fairly good chart and conveys a lot of information, it doesn't really tell the story that we're trying to get across to our users. For that, I think the Line chart really is the best.
So let's go ahead and click back on our chart button and reselect the Line chart. Now, it would be nice if our Line chart was a little bit more interesting and had some brighter colors to it so it could really jump off the page a little bit. Well, if we click on the Chart Colors option, we'll notice that the Apply All option is not available for this chart type. As a matter of fact, any of the other color schemes that we choose, whether we go to 2D Fills or even just 2D Solid Colors and change the layout, you'll notice that none of those are available to us for this type of chart.
In order to make a change to our chart, we need to use a different tool. To do that, what we want to do is first select one of our lines, then we'll come over to our Inspector, and we'll go to the Graphics Inspector. Here, we can change the stroke color of our line. We'll do that by simply clicking on the color chip. Now, I've gone ahead and selected the Crayons option of colors, and for the series of data that I've selected here-- which is the 2000-2010 Average, which is the more recent one--I'm going to go ahead and select this nice maraschino cherry color, and you'll notice that the lines have changed color, but my data symbols did not change color.
So in order to change the color of those, I'll simply need to deselect and then click one time on one of my data symbols to select it. You'll notice now that the stroke color in our Graphics Inspector has changed back to that same blue. Now when we click on that color chip, we can come over and change the color of that to the same maraschino cherry color. Let's go ahead and change the 1910-2010 Average as well. We'll go ahead and select that line, then we'll click on the stroke color for the line, and then we'll choose this nice grape color.
Once again, we'll click on our data symbol until the stroke line color appears the same blue, click on that square, and then click on the grape color to change that to the same grape color as well. We can now deselect, and now our chart is much easier to read. We've got a lot more contrast between our two data sets, and our users can see the general trend over time of snowfall, and they can tell that then there are months between December and March for most years they're going to have a pretty good chance of having some good snow to hit the slopes with.
The last thing that we'd want to do to our chart is to go ahead and apply some metadata to it, and we'll do that in the next movie.
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