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The main thing is we can also draw future inferences from these charts. By seeing the curve, the complete inferences can be made from them, like how much profit or sales are drawn over a period, what is the starting point for the first time, and progress from year to year by comparing with other years. The S curve is a very important curve or tool that can be used in projects to know the daily progress and track the previous records of what has happened today. This curve can plot the changes in one variable related to another. Two variables that are used should be matched with the same period. If we use this type of chart, there should be data. They may include 1 line for a single data set or multiple lines to compare different data sets.
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If the variables are numeric, a scatter plot is a good choice to visualize the data. The variables being observed are numeric. Like our example above, you can see a correlation where an increased in pageviews results in an increased in sales.Ģ. However, if there’s a correlation, positive or negative, a diagonal arrangement (resembling a line) of the points can be observed. If there’s no correlation, the points on the chart appear scattered. The main purpose of a scatter plot is to show the correlation between the variables. Showing the correlation of the variables. Here are a few points of when to use a scatter plot:ġ. Some of the charts and graphs in Excel have overlapping uses.
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