Data Types in Tableau

Tableau automatically interprets variables and assigned data types. Tableau will be using the type of data which is specified by the data provider. It will create a data type if the information source does not do it specifically.

The data type characterizes the data point through its specific type, which can be texts (e.g., ‘Nikhil’), numbers (e.g., 66), floating type (e.g., 2.345), and so on. As a result, each data value belongs to a specific data type. Tableau, also, has a collection of data types that it uses to classify data values as attribute values.

There are seven different categories of data in Tableau. Tableau’s job is to identify the data structures of different fields as soon as the information is imported from the sources and assign it to the appropriate fields. These are the six data types:

  1. Values in strings
  2. Values of dates
  3. Values for the Date and Time
  4. Boolean expressions
  5. Geographical significance
  6. Mixed or clustered values
  1. String Data Type:

    The string data type is made up of lots of characters. A singular or even double reversed punctuation is always used to separate a string. “Nikhil”, “Hi!” are some of the string’s samples. “How are you doing?” and “IBM,” for example.

    String data can be divided into two types: Char and Varchar.

    • Char string type-

      The Character data type is used to hold numerical numeric value with predetermined lengths. The system sends a response if the user provides a string value that is longer than the Character data type’s fixed size.

    • Varchar string type –

      The Varchar data type can also include alphanumeric data. Varchar saves numeric value with a variable length, as the name implies. As a result, the user can type with as many special characters as they want.

  2. Numeric Data Type:

    This data type can be either an integer or a floating point number. Integer types are preferred for floating types by users because it is challenging to aggregate the decimal place beyond a certain limitation. It also has a function called Round() that could be used to round up float numbers.

  3. Date and Time data type:

    Tableau supports many types of date and time formats, including dd-mm-yy, mm-dd-yyyy, and so on. Time data variables can be expressed as a decade, year, quarter, month, hour, minutes, seconds, and so on. Tableau seamlessly records data and time values entered by the user under the Date data type and Date & Time data value.

  4. Boolean Data Type:

    Boolean data method variables are developed as a result of logical operations. True or False are the binary datasets. When the conclusion of a relationship computation is unknown, null statistical measures are employed in this case.

  5. Geographic Data Type:

    This category encompasses all variables that are utilised in mapping. Names of countries, state names, cities, regions, postal codes, and other geographic data values are examples.

  6. Clustering or Composite Data Type:

    A data set may contain numbers of many data types. Clustering group values or mixed data values are examples of such values. In this circumstance, users have the opportunity of handling it themselves or letting Tableau handle it.

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