Import a string semantically:

Import a string as a single column of strings:

Import a string with the specified column types:

Import only some columns of a string, in the specified format, using column numbers:

Import only some columns of a string, in the specified format, using column names:

Import a string as a list of named rows:

Import a string using the given delimiter:

Specify that the first line of the string to import is a header:

Specify that the first and third lines of the given string should be skipped:

Return missing values with the form "Unknown" in the special form Missing["UnknownData"]:

Import a list of quantities as a Dataset object:

Import quantities as an array:

Import countries:

Get the contents of a file:

Apply any string transformations to the input file. In this case, the full text is simply set to uppercase:

Import the data contained in the string:

Import the price column only:

The interpretation of data depends upon its context. Without further context, "12,3" is interpreted as a date:

In the context of the value "45,4", which is not a valid date, "12,3" is interpreted as two integers:

SemanticImportString, unlike SemanticInterpretation, does only simple, quick inferences. SemanticImportString imports state names as strings:

SemanticInterpretation imports state names as Entity objects:

Automatic type selection chooses from a smaller set of interpretations rather than specifying a type explicitly:

An Automatic type specifies an automatically selected number of columns:

An {Automatic} type specifies a single column of automatically selected type:

Automatic in a type list applies to the corresponding column sequentially: