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Exploring one-variable data and collecting data
Variables
▶ Identifying individuals, variables and categorical variables in a data set
The concept of variables in data sets comes to life through an exploration of categorical and quantitative variables. Using nutritional data from a coffee shop as an example, the lesson highlights how variables can represent diverse aspects of a data set, such as drink type, calorie count, sugar content, and caffeine amount.
▶ Classifying discrete and continuous variables
Sal shows how to classify a quantitative variable as discrete or continuous, and give the reason for the classification.
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