What will the be the data type for firearms trafficking, arrests, Non$-$Arrest Inter$-$Dictions, criminal case prosecutions, sentencing practices, mental health provision, and crime rates? The options are from the yellow drop$-$down as attached below.

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Chapter $2$ Dafa to Insights fo Decisions

and implementation is an iterative process in which data exploration informs the design and implementation of features, which in turn inform further data exploration, and so on$.$

$2\mathrm{.}4\mathrm{.}1$ Different Types of Data

The data that the features in an ABT contain can be of a number of different types:

Numeric: True numeric values that allow arithmetic operations $($e$.$g$.,$ price, age$)$

Interval: Values that allow ordering and subtraction, but do not allow other arithmetic operations $($e$.$g$.,$ date, time$)$

Ordinal: Values that allow ordering but do not permit arithmetic $($e$.$g$.,$ size measured as small, medium, or large$)$

Categorical: A finite set of values that cannot be ordered and allow no arithmetic $($e$.$g$.$ country, product type$)$

Binary: A set of just two values $($e$.$g$.,$ gender$)$

Textual: Free$-$form, usually short, text data $($e$.$g$.,$ name, address$)$

Figure $|)$ shows examples of these different data types. We often reduce this categorization to just two data types: continuous $($encompassing the numeric and interval types$),$ and categorical $($encompassing the categorical, ordinal, binary, and textual types$).$ When we talk about categorical features, we refer to the set of possible values that a categorical feature can take as the levels of the feature or the domain of the feature. For example, in Figure ${2\mathrm{.}4}^{19}$ the levels of the CREDIT RATING feature are $\{aa,a,b,c\}$ and the levels of the GRNDER feature are $($male$,$ female$).$ As we will see when we look at the machine learning algorithms covered in Chapters $4^{191}$ to $7^{\text{p}\text{I}\text{I}\text{I}},$ the presence of different types of descriptive and target features can have a big impact on how an algorithm works.