Learn Tableau by Working on Exciting Dashboards - Country Map

Learn Tableau by Working on Exciting Dashboards - Country Map

Assessment

Interactive Video

Information Technology (IT), Architecture, Geography, Science

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial explains how to handle and visualize data related to movies produced in different countries using Tableau. It covers the use of country dimensions, split functions, and geographic roles to extract and map data. The tutorial also addresses handling null values and finalizing the visualization with appropriate adjustments to the map and data representation.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using a separator and split function in the context of country dimension?

To combine multiple countries into one

To extract the first country from a list

To sort countries alphabetically

To remove duplicate country entries

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it necessary to change the country data to a geographic role in the visualization?

To ensure the data is recognized as a location

To allow the use of country-specific colors

To enable sorting by country name

To increase the size of the data points

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does changing the map's background to dark help with?

Improving the visibility of data points

Reducing the file size of the visualization

Highlighting the text labels

Increasing the speed of data processing

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can null values in the country data affect the visualization?

They can enhance the color contrast

They can make the map load faster

They can lead to duplicate entries

They can cause the map to display incorrect locations

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of ensuring clean data in the final visualization?

It reduces the need for data processing

It increases the number of data points displayed

It ensures accurate representation of data

It allows for more complex visualizations