Tableau ( Tableau Data Types)

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Tableau – Data Types:

All fields in a data source have a data type. The data type reflects the kind of information stored in that field, for example integers (410), dates (1/23/2015) and strings (“Wisconsin”). The data type of a field is identified in the Data pane by one of the icons shown below.

In Tableau, we have seven primary data types. The function of Tableau is to automatically detect the data types of various fields, as soon as the data is uploaded from the source and allocate it to the fields. These seven data types are:

  1. String values
  2. Number/Integer values
  3. Date values
  4. Date & Time values
  5. Boolean values
  6. Geographic values
  7. Cluster or mixed values
In Tableau, every data type is denoted by a specific icon is displayed in the table given below:

DATA TYPE

ICON

String Values
Integer Values
Date Value 
Date & Time Value
Boolean Value
Geographic Value
Cluster group or Mixed Value

i) String Data type: The collection of characters give rise to the string data type. A string is always enclosed within a single or double inverted comma. The samples of the string are — “Vansh”, “Hi! How are you?”, and “GeeksforGeeks”, etc. 

We can divide String data type into two types, Char and Varchar.

  • Char string type- Char data type normally stores alphanumeric data values having fixed lengths. If the user enters a string value which is greater than the fixed length of the Char data type, then the system returns an error.
  • Varchar string type- Varchar data type also stores alphanumeric data values. As the name suggests, Varchar stores data values having a variable length. So, the user can enter as many string values as they want, without facing any restriction from the system.

ii) Numeric Data type: This data type consists of both integer type or floating type. Out of which users prefer to use integer type over floating type, as it is difficult to accumulate the decimal point after a certain limit. It also contains a function known as the Round() function which can be used in rounding up float values.

iii) Date and Time Data type: Tableau supports all forms of date and time like dd-mm-yy, or mm-dd-yyyy, etc. And the time data values can be in the form of a decade, year, quarter, month, hour, minutes, seconds, etc. Whenever the user enters data and time values, Tableau automatically registers it under Date data type and Date & Time data value. 

iv) Boolean Data type: As a result of relational calculations, boolean data type values are formed. The boolean data values are either True or False. Many a time the result of a relational calculation is unknown, in this situation Null data values are used. 

v) Geographic Data type: All values that are used in maps, comes under geographic data type. The example of geographic data values is country name, state name, city, region, postal codes, etc. 

vi) Cluster or Mixed Data type: Sometimes data set contains values having a mixture of data types. Such values are known as cluster group values or mixed data values. In such a situation, users have the option either to handle it manually or allow Tableau to operate on it. 

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