Mastering Tableau 2018.1, Second Edition 11.1: Data Visualization Best Practices for Effective Dashboards

The video tutorial covers best practices for creating effective dashboards in Tableau. It emphasizes the importance of data optimization, efficient use of filters, and optimizing calculations to enhance performance. The tutorial also discusses the significance of dashboard layout and rendering, providing tips for improving user interaction and visualization clarity.

What is the primary goal of creating dashboards in Tableau?

• To store large datasets

• To share beautiful and thoughtful visualizations

• To perform complex calculations

• To replace SQL databases

Why is it important to use a sample of data when creating a dashboard?

• To reduce the complexity of visualizations

• To ensure faster performance by using only necessary data

• To increase the size of the dataset

• To avoid data redundancy

What is the benefit of publishing data extracts to Tableau Server?

• It enables offline access to data

• It improves performance by using high-configured machines

• It allows for real-time data updates

• It automatically cleans the data

What should you do if a filter is not relevant to your Tableau visualization?

• Duplicate it for backup

• Remove it to improve performance

• Convert it to a calculated field

• Keep it for future use

When should you use 'only relevant values' in filters?

• When there is a clear parent-child relationship between filters

• When you want to display all possible values

• When performance is not a concern

• When you have a single data source

How can you optimize calculated fields in Tableau?

• Use multiple data sources

• Avoid using if-else statements

• Use numbers or boolean values for outputs

• Use strings instead of numbers

Why should blended calculations be avoided if possible?

• They are difficult to create

• They require data from multiple sources, impacting performance

• They are not supported in Tableau

• They do not allow for filtering

What is a recommended practice for dashboard layout to improve performance?

• Use dynamic sizing for all elements

• Include high-resolution images

• Fix the dashboard size to match user screen resolution

• Use as many worksheets as possible

What is a key consideration when using images in dashboards?

• Use images larger than 50 KB for clarity

• Ensure images are in JPEG format and less than 50 KB

• Use PNG format for better quality

• Avoid using images altogether

What is the impact of having many marks in a visualization?

• It reduces the need for filters

• It increases the time required to render the visualization

• It enhances the interactivity of the dashboard

• It improves the clarity of the visualization