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Multiple Choice

Which tables give data unique characteristics in a dataset?

When you organize data, the features that distinguish each item are its properties, or attributes. A table uses columns to hold these attributes, and each row represents an item described by those attribute values. The attributes define the unique characteristics of the data—for example, color, size, date, or category—so they are the elements that set one item apart from another. Data are the actual values filled under those attributes, not the properties themselves. Excel is just a tool for storing or viewing data, and Raster is a format for gridded spatial data, not the descriptor of an item’s characteristics. So the concept being tested is that the distinguishing characteristics of data are captured by attributes.

When you organize data, the features that distinguish each item are its properties, or attributes. A table uses columns to hold these attributes, and each row represents an item described by those attribute values. The attributes define the unique characteristics of the data—for example, color, size, date, or category—so they are the elements that set one item apart from another. Data are the actual values filled under those attributes, not the properties themselves. Excel is just a tool for storing or viewing data, and Raster is a format for gridded spatial data, not the descriptor of an item’s characteristics. So the concept being tested is that the distinguishing characteristics of data are captured by attributes.