The other cases in this chapter include a tabular idealization. This case should follow suit.
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Now, let's envision a scenario in which we want to organize a dataset that can be used in a study that aims to investigate the relationship between speaker demographics and utterances. An ideal dataset would contain information about speakers and their utterances. In their original format, the CABNC datasets separate information about utterances and speakers in separate tables, `cabnc_utterances` and `cabnc_participants`, respectively. The idealized dataset, then, will combine the variables from each of these tables into a single dataset. |