R Programming Quiz 2

What is Tableau primarily used for?

• Data reporting

• Data analysis

• Data storage

• Data visualization

Which of the following is a data visualization type in Tableau?

• Scatter Plot

• Pie Chart

• Line Graph

• Bar Chart

What is the purpose of a Tableau Dashboard?

• To create complex data models

• To generate random data visualizations

• To store large datasets

• The purpose of a Tableau Dashboard is to visually present and analyze data.

Which file format is used to save Tableau workbooks?

• .pptx

• .xls

• .twb or .twbx

• .docx

What is a calculated field in Tableau?

• A calculated field is a pre-defined field that cannot be modified.

• A calculated field is a type of visualization in Tableau.

• A calculated field is a field that only contains text data.

• A calculated field is a user-defined field that uses formulas to derive values from existing data.

What does the term 'dimension' refer to in Tableau?

• A qualitative field that categorizes data in visualizations.

• A filter that limits the data displayed in visualizations.

• A numerical field that measures data in visualizations.

• A calculated field that combines multiple data sources.

How can you filter data in Tableau?

• You can filter data by changing the color of the visualizations.

• Data can only be filtered by exporting to Excel.

• You can filter data by using the Filters shelf, context filters, quick filters, or calculated fields.

• Filtering is done exclusively through SQL queries.

What is the function of Tableau Server?

• The function of Tableau Server is to enable sharing, collaboration, and management of Tableau visualizations and dashboards.

• To create new Tableau visualizations from scratch.

• To store raw data files for analysis.

• To generate automated reports without user interaction.

Which of the following is NOT a Tableau product?

• Tableau Prep

• Tableau Public

• Tableau Server

• Microsoft Excel

What is the purpose of Tableau Prep?

• The purpose of Tableau Prep is to clean and prepare data for analysis.

• To visualize data in real-time.

• To create interactive dashboards.

• To store large datasets efficiently.