If both sets are in agreement, it is a good indication each is accurate. If, on the other hand, there is great disparity between the two sets, we may conclude there is some significant error in our data gathering or sampling technique.
The NASA GISS data (see link) include both a land/sea temperature index and temperature measurements from meteorological stations.
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Correlation.
(10,10,30,30,30,50,50) (20,20,30,30,30,40,40) These two sets have the same mean, median and mode.
they are related, but one might not be causing the other
There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.
Bar graphs can compare two sets of data, as well as line graphs and circle graphs. To better improve my answer, double line graphs and double bar graphs compare two sets of data. Circle graphs cannot however, because they compare parts of a whole instead of, as a bar graph would, the amount of something. A circle graph is also incapable of showing data growth over a period of time, as line graphs do. All in all, circle graphs cannot compare to sets of data, and bar graphs and line graphs must be doubled to do so.