A financial analyst is creating a dashboard to track stock performance. They need to display the daily closing price as a line chart and the daily trading volume as a bar chart for the same stock over the same time period. The values for price (e.g., $150.50) and volume (e.g., 2,500,000) have vastly different scales. Which chart type is the most appropriate and effective for this specific requirement?
A marketing team is analyzing campaign performance. They have a dimension `Campaign Name` and a measure `Conversion Rate`. They want to visually group campaigns into 'High Performing', 'Medium Performing', and 'Low Performing' based on the conversion rate. This grouping needs to be dynamic and used across multiple worksheets. Which Tableau feature is best suited for this task?
True or False: When you change a field's data type from String to Number (Whole) in the Data Source page, Tableau will automatically convert any non-numeric string values (e.g., 'N/A', 'Pending') to Null.
A data analyst is working with two tables in Tableau: 'Orders' and 'Returns'. The 'Orders' table contains all sales transactions, while the 'Returns' table contains only the `Order ID` for items that were returned. The analyst needs to create a view that shows all orders and identifies which ones were returned. Which data modeling approach should be used to combine these tables to ensure all orders are included in the final dataset?
A business analyst needs to create a 'what-if' analysis to see how a 5%, 10%, or 15% increase in sales would impact overall profit. They want to provide a control on the dashboard that allows users to select one of these percentage increases. Which combination of Tableau features is required to build this functionality? (Select TWO)
A data steward for a large retail company has created a standardized Tableau Data Source (.tds) file for the company's sales data. This file includes custom hierarchies, default aggregations, number formats, and calculated fields that all analysts should use. What is the primary benefit of distributing this .tds file to the analytics team?
You are building a dashboard with three worksheets: a map of sales by state, a bar chart of sales by category, and a line chart of sales over time. You want users to be able to click on a state in the map and have both the bar chart and the line chart update to show data only for the selected state. What is the most direct way to achieve this interactivity?
An analyst is examining sales data and notices that the `Region` field contains the values 'East', 'West', 'Central', 'South', and also 'east'. To ensure consistency, the analyst wants all 'east' values to be treated as 'East'. What is the most appropriate action to correct this data value without altering the underlying database?
A hospital administrator is analyzing patient admission data. They have a continuous `Admission Date` field and want to see the total number of admissions for each month of the year, aggregated across all years in the dataset (e.g., total for all Januarys, total for all Februarys, etc.). Which date format should they select for the `Admission Date` field on the columns shelf?
What is the primary difference in how Tableau processes a standard dimension filter versus a context filter?