Which of the following best describes how a relative date filter works in Tableau?
Think about how the filter updates when you open the dashboard tomorrow.
Relative date filters adjust automatically based on the current date, showing data like last 7 days or last month dynamically.
Given a dataset with daily sales and today's date is 2024-06-15, what will be the total sales if a relative date filter is set to 'Last 3 days'?
Sales data:
- 2024-06-12: 100
- 2024-06-13: 150
- 2024-06-14: 200
- 2024-06-15: 250
- 2024-06-16: 300
Remember 'Last 3 days' includes today and the two previous days.
The last 3 days including today (2024-06-15) are 2024-06-13, 2024-06-14, and 2024-06-15. Their sales sum to 150 + 200 + 250 = 600.
You want to create a dashboard that always shows sales data for the last full calendar month (e.g., if today is June 15, show May 1 to May 31). Which relative date filter setting in Tableau will achieve this?
Think about how to exclude the current partial month and only show the full previous month.
'Previous month' filter excludes the current month and shows the entire last calendar month, which matches the requirement.
A Tableau user sets a relative date filter to 'Last 7 days' but notices the dashboard does not update daily and shows stale data. What is the most likely cause?
Consider what controls the data freshness behind the scenes.
If the data source is not refreshed daily, the relative date filter will show data based on the last refresh date, causing stale results.
You need to build a Tableau report that shows three sales metrics side by side:
- Sales for the last 7 days
- Sales for the last full calendar month
- Sales for the last 3 full calendar months
Which approach will correctly implement these relative date filters so all metrics update dynamically and independently?
Think about how to isolate filters so they don't interfere with each other.
Using separate relative date filters applied only to their respective metrics ensures each metric updates correctly and independently.