Many important questions (“What’s the best restaurant in town?”, “Is this law good for citizens?”, etc.) are answered with data.
Data Scientists try to answer these questions by writing programs that ask questions about data.
Data of all types can be organized into Tables.
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Every Table has a header row and some number of data rows.
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Quantitative data is numeric and measures an amount, such as a person’s height, a score on a test, distance, etc. A list of quantitative data can be ordered from smallest to largest.
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Categorical data is data that specifies qualities, such as sex, eye color, country of origin, etc. Categorical data is not subject to the laws of arithmetic — for example, we cannot take the “average” of a list of colors.
These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). 
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