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CHAPTER SUMMARY

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In this chapter, we gave you a common language to speak about your data in the workplace. Specifically, we described:

 Data, datasets, and multiple names for the rows and columns of a dataset

 Numerical data (continuous vs. count)

 Categorical data (original vs. nominal)

 Experimental vs. observational data

 Structured vs. unstructured data

 Measures of central tendency

With the correct terminologies in place, you're ready to start thinking statistically about the data you come across.

Becoming a Data Head

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