What are the steps to clean a text field for analysis?
Mastering Tableau 2018.1, Second Edition 3.2: Data Preparation and Cleaning Data Sources with Text and Geography
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Information Technology (IT), Architecture, Business, Social Studies
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University
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Hard
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The video tutorial covers data preparation techniques in Tableau, focusing on text and geographic data formatting. It explains how to clean and split text fields, fix header issues using Data Interpreter, and convert dimension fields into geographic data. The tutorial provides practical examples using sample datasets, demonstrating how to manipulate data for better analysis and visualization.
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How can you split a column into multiple parts in Tableau?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What issues can arise with data headers when connecting to complex datasets?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain how the Data Interpreter can help in cleaning data.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the importance of converting dimension fields into geographic data?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of assigning proper geographical roles in Tableau.
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the two important points regarding geographic formatting mentioned in the text?
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