Tableau Flashcards

1
Q

Define LOD Expression

A

LOD expressions give you control on the level of granularity you want to compute independent of the values used in the visualization.

It allows you to run complex queries involving dimensions at the data source level instead of bringing all the data to the Tableau interface

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2
Q

What is the difference between dimensions and measures?

A

Dimensions

  1. contain qualitative values (such as names, dates, or geographical data)
  2. used to categorize or segment

Measures contain numeric, quantitative values and can be aggregated

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3
Q

What is Meant by ‘discrete’ and ‘continuous’ in Tableau?

A

Discrete - “individually separate and distinct” represented as blue and create headers or categories when brought into the view
Continuous - “forming an unbroken whole without interruption” represented as green forms a new axis

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4
Q

What is the Difference Between Joining and Blending?

A

data joining combining the data between two or more tables or sheets within the same data source

data blending is combining the data from two or more different sources where each data source contains its own set of dimensions and measures

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5
Q

What is the Difference Between a Live Connection and an Extract?

A

Tableau Data Extracts are snapshots of data optimized for aggregation and loaded into system memory to be quickly recalled for visualization

Live connections offer the convenience of real-time updates, with any changes in the data source reflected in Tableau

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6
Q

Difference Between Groups and Sets in Tableau

A

group is one dimensional, used to create a higher level category by using lower-level category members

sets can have conditions and can be grouped across multiple dimensions/measures.

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7
Q

What is a Parameter in Tableau?

A

A parameter is a dynamic value that lets the end user replace constant values in calculations, filters, and reference lines

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8
Q

What are the data types supported in Tableau?

A
Text (string) values.
Date values.
Date and time values.
Numerical values.
Boolean values (relational only)
Geographical values (used with maps)
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9
Q

What are the different filter types in Tableau?

A
Extract Filters.
Data Source Filters.
Context Filters.
Dimension Filters.
Measure Filters.
Table Filters.
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10
Q

Types of joins

A

Inner - resulting table on contains values that have matches in both tables
Left - all values in left table and corresponding matching values from right table
Full outer - all values from both tables

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11
Q

What is a Calculated Field?

A

A calculated field is a new field created form existing data in the data source that is used to create more robust visualizations and doesn’t affect the original dataset

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12
Q

What is the difference between Treemaps and Heat maps?

A

They are similar in that they both use color and size, but

Tree map is used to represent hierarchical data as parts of a whole where

Heat map compares values across categories

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13
Q

What is the difference between .twbx and .twb?

A

.twbx is a packaged workbook that contains all the information along with the data source.

.twb is just the xml document that contains instructions on how to interact with the data source but not the data itself

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14
Q

When would you apply a blended axis?

A

You can use two measures to share an axis when they have the same scale.

Example seeing sales and profit over time

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15
Q

What is the use of dual-axis?

A

Dual axis allows you to compare measures that have different scales. Because dual axis gives you 2 different marks cards, you can have different mark types, for example a line and bar chart.

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16
Q

What is the Rank function in Tableau?

A

Ranking is assigning something a position within, usually within a category.

17
Q

How can you optimize the performance of a dashboard?

A
  • Exclude unused fields or use extract filters
  • Parameters and action filters to reduce query load
  • Tableau Log Viewer on github
  • Use min/max instead of average
  • Booleans or numeric calculations run faster than strings