2. As a data analysis tool, Tableau classifies every
piece of data into one of the four categories
namely :-
String
Number
Boolean
and datetime.
Once data is loaded from the source, Tableau
automatically assigns the data types.
Contrarily, you can also change some of the data
types if it satisfies the data conversion rule.
The user has to specify the data type for
calculated fields.
Tableau - Data Types
3. String functions allow you to manipulate string
data (i.e. data made of text).
For example, you might have a field that contains
all of your customers' first and last names.
You can pull the last names from all your
customers into a new field using a string function.
Example:-
'Hello' 'Quoted' 'quote'
STRING
4. Number functions allow you to perform
computations on the data values in your fields.
Number functions can only be used with fields
that contain numerical values.
For more information, see Data Types.
For example, you might have a field that contains
values for the variance in your budget, titled
Budget Variance.
Example:-
3/142.58
NUMBER
5. In Tableau, Boolean is either True or False. It can
only be one of those values.
In some software a tri-state data type – True,
False, Null – can sometimes be mistakenly
referred to as boolean, for example a SQL bit data
type.
In terms of performance, Boolean is as good as it
gets.
Example:-
TRUE/FALSE
BOOLEAN
6. Tableau recognizes dates in almost all formats.
But in case we need to force Tableau to recognize
a string as date, then we put a # sign before the
data.
Example:-
"02/01/2015"/"#3 March 1982"
DATE & DATETIME
7. Tableau - Data Terminology
Tableau - Operators
Tableau - Functions
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