KMK & LHH College Tableau WA1

KMK & LHH College Tableau WA1

Professional Development

15 Qs

quiz-placeholder

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KMK & LHH College Tableau WA1

KMK & LHH College Tableau WA1

Assessment

Quiz

Professional Development

Professional Development

Medium

Created by

Ivy Professional School

Used 3+ times

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the main thing you should take into account when setting the colours in your chart in Tableau?

It should be set taking into account the viewer. Colours should assist them in seeing insights easily.

Colours are automatically set by Tableau and can't be changed

You should use as many colours as possible. Ideally each object should have a unique colour.

Colours dont' matter in visualization.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of Tableau filter should be used when more than one dimension is filtered?

Context Filter

Page Filter

Single Valued List

Measure Filter

3.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following statements are true?

Measure contains numerical data whereas Dimension contains categorical data

Measures can be aggregated but not Dimensions

Dates are treated as Measures

Dimension is a dependent variable

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which visual is made of a series of nested rectangles of sizes proportional to the corresponding data value

Tree Map

Bar Chart

Heat Maps

Scatterplot

5.

DRAG AND DROP QUESTION

1 min • 1 pt

A ​ (a)   describes how two tables relate to each other, based on ​ (b)   , but does not merge the tables together.

relationship
common fields
measures
union
union table
calculated field

6.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Create a visual showing number of encounters state wise.

What is the number of encounters for the state TX?

112

21

211

221

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Create a visual to show gender wise percentages of encounter. Which one is true?

Male: 95%

Female: 5%

Non confirming: 0%

Male: 75%

Female: 25%

Non confirming: 0%

Male: 85%

Female: 10%

Non confirming: 5%

Male: 65%

Female: 35%

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