Which of the following statements about connecting Excel and CSV files in Tableau is correct?
Think about how Tableau handles file-based data sources and the options it offers for data refresh.
Tableau allows connections to both Excel and CSV files. Users can choose to use live connections or create extracts for both file types, depending on their needs.
When you connect Tableau to an Excel file and a CSV file, which statement best describes how Tableau handles data refresh for these files?
Consider how Tableau handles file-based data sources and the role of Tableau Server in scheduling refreshes.
Tableau requires manual refresh of data from Excel and CSV files unless extracts are published and scheduled on Tableau Server or Tableau Cloud.
You have connected Tableau to a large Excel file and a CSV file with millions of rows. What is the best practice to ensure smooth and fast visualization performance?
Think about how Tableau handles large datasets and what improves performance.
Creating extracts and applying filters reduces data size and improves performance when working with large Excel and CSV files in Tableau.
You connected a CSV file to Tableau, but some numeric columns are treated as text, causing aggregation errors. Which option is the most likely cause?
Consider how Tableau infers data types from CSV files.
If a CSV column contains mixed data types (numbers and text), Tableau treats the entire column as text to avoid errors.
You have a Tableau dashboard connected to an Excel file and a CSV file stored on a shared network drive. You want the dashboard to update automatically every morning without manual intervention. Which setup is most effective?
Think about how Tableau Server can automate data refreshes for file-based sources.
Publishing extracts to Tableau Server and scheduling refreshes allows automatic daily updates without manual steps.