![]() ![]() We’ll run through a few common types of graphs in this chapter, along with things to avoid. The right way to graph your data will be dependent on the type of data you have, as well as what you’re trying to show. Graphing data is also a great way to look at multiple variables simultaneously and examine relationships between them. ![]() Graphing adds a bit of art to the information we communicate, and can be a more interesting way to show that the average test score in California was 653. Descriptive statistics offered ways to summarize that data and provide some order to the mess, but it isn’t the only way.Īnother effective way of summarizing large quantities of data is to graph it. ![]() We laid out 420 scores from math tests in California schools, and 420 data points is hard to digest (and there are many data sets with millions of rows). Last chapter we met the struggle of having too much data. 17 Transforming Variables in Regression.8 Alternative Methods of Data Collection. ![]()
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