What does discrete mean in Tableau?
individually separate and distinct
Continuous means “forming an unbroken whole, without interruption”; discrete means “individually separate and distinct.” In Tableau, fields can be either continuous or discrete. When you drag a field from the Data pane to Columns or Rows, the values are continuous by default and Tableau creates an axis.
How do you identify a discrete field in Tableau?
1 Answer
- In Tableau workbook once you open a new worksheet then under Data pane you will see Dimensions and Measures.
- So once you click on the field then the color of the field will decide like if the color is green then the field is continuous and if the field color is blue then it will be discrete.
What is a discrete data?
Discrete data is a count that involves integers — only a limited number of values is possible. This type of data cannot be subdivided into different parts. Discrete data includes discrete variables that are finite, numeric, countable, and non-negative integers.
Is date discrete or continuous in Tableau?
By default, date dimensions are discrete fields for which Tableau automatically selects a date level when it is placed on a shelf. To make a date dimension continuous by default, right-click (control-click on Mac) the field in the Data pane and select Convert to Continuous.
What are discrete features?
Discrete features are discontinuous and have definite feature boundaries. For example, a road has a width and length and is represented on a map as a line. A landownership map shows the boundaries between various parcels.
What are discrete fields?
Discrete fields divide the study space in mutually exclusive, bounded parts, with all locations in one part having the same field value. Discrete fields are intermediate between continuous fields and geographic objects: discrete fields and objects both use “bounded” features.
What is the example of discrete?
Discrete vs continuous data
| Discrete data | Continuous data |
|---|---|
| Some common examples of discrete data are the number of students, the number of children, the shoe size, and so on | Some common examples of continuous data are height, weight, length, time, temperature, age, and so on |
What is an example of discrete data?
Discrete data is information that we collect that can be counted and that only has a certain number of values. Examples of discrete data include the number of people in a class, test questions answered correctly, and home runs hit.
What is the difference of discrete and continuous data?
Discrete data take particular values, while continuous data are not restricted to separate values. Discrete data are distinct and there is no grey area in between, while continuous data occupy any value over a continuous data value.
What is the difference between discrete and categorical data?
Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order. For example, categorical predictors include gender, material type, and payment method. Discrete variables are numeric variables that have a countable number of values between any two values.