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[Tableau Desktop Specialist Certification] Exam Prep - Domain 4 : Understanding Tableau Concepts (중요 내용 정리 - Dimension/Measure/Discrete/Continuous) 본문

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[Tableau Desktop Specialist Certification] Exam Prep - Domain 4 : Understanding Tableau Concepts (중요 내용 정리 - Dimension/Measure/Discrete/Continuous)

paka_corn 2023. 8. 30. 08:56

Domain 4: Understanding Tableau Concepts

4.1 Understand dimensions and measures

1) Explain what kind of information dimensions usually contain

- it contains qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data.

- Dimensions affect the level of detail in the view.

=> level of detail in a view : how granular the data is given the dimension and measure data in the view.

=>  If more dimension are added to the view, the level of detail in the view increase!! 

 

- when you drag a discrete dimension field to Rows or Columns, Tableau creates column or row headers.

 

2) Explain what kind of information measures usually contain

- it contains numeric, quantitative values that you can measure. Measures can be aggregated. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default).

 

 

3) Explain the difference between dimensions and measures

=> dimensions are used for categorical and descriptive attributes that help organize and label data, while measures are used for numerical values that are subject to analysis, aggregation, and calculations

 

=> Measures contain quantitative values whereas Dimensions contain names, dates or Geographical data

=> Dimensions increase the level of detail in the view while measures are aggregated when added to the view.

 

difference 1 : filter 

- Filter categorical data (dimensions)

 

- Filter quantitative data (measures)

 

difference 2 : color

- When you drop a discrete field on Color in the Marks card,

Tableau displays a categorical palette and assigns a color to each value of the field.

 

- When you drop a continuous field on Color,

Tableau displays a quantitative legend with a continuous range of colors.

 

4.2 Understand discrete and continuous fields

1) Explain how discrete fields are displayed

- blue pill indicates 'the field is 'discrete'

- discrete fields create headers

 

- the display of Discrete Field while dragged to Color in Marks Card

=> When dragged to the color of Marks Card, Tableau displays both the categorical palette and a legend with a color for each value of the field.

 

 

2) Explain how continuous fields are displayed

- green pill indicates 'the field is 'continuous'

- create an axis when it is added to the view

 

3) Explain the difference between discrete date parts and continuous date values

- Discrete date part color is Blue whereas the Continuous date part color is Green

- Discrete date creates labels whereas the Continuous date creates axes

- Discrete date aggregates data at the selected unit whereas the Continuous date uses individual date values

 

 

4.3 Understand aggregations

1) Explain the default aggregation for measures

- default aggregation in measure : SUM([measure]) / 

- To change the default aggregation

: Right-click (control-click on Mac) a measure in the Data pane and select Default Properties > Aggregation, and then select one of the aggregation options.

 

 

 

2) Describe how an aggregated measure changes when dimensions are added to a view

- can aggregate a dimension in the view as Minimum, Maximum, Count, or Count (Distinct).

 

 

 

 

 

 

 

reference 

https://help.tableau.com/current/pro/desktop/en-us/datafields_typesandroles.htm

https://help.tableau.com/current/pro/desktop/en-us/calculations_aggregation.htm

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