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NEW QUESTION # 46
You have a sales dataset that contains the following fields.
You need to analyze the average revenue per product in different regions over time.
Which two fields should be measures? Choose two.
Answer: C,E
Explanation:
To analyze the average revenue per product in different regions over time, you need to use two fields that contain numeric, quantitative values that you can measure and aggregate. Quantity and Revenue are both measures that fit this criterion. You can multiply Quantity and Revenue to get the total sales for each product, and then divide by the number of products to get the average revenue. You can also use these measures to create charts and tables that show the trends and comparisons over time and across regions. References:
* Dimensions and Measures, Blue and Green - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 47
A Data Analyst has the following visualization.
The analyst needs to add totals to the table as shown in the following visualization.
What should the analyst use from Totals on the Analysis menu?
Answer: D
Explanation:
The target visualization shows a subtotal after the members of each Category while retaining the individual Sub-Category rows. In Tableau, Analysis > Totals > Add All Subtotals inserts subtotal rows or columns when multiple dimensions are present on Rows or Columns. Here, Category and Sub-Category are both on Rows, so Tableau can calculate a subtotal for each Category group. Show Column Grand Totals and Show Row Grand Totals create totals for the entire view along the corresponding direction; they do not insert a separate total inside every Category section. Column Totals to Top only changes the placement of existing column totals. Because the requirement is to add a Total row for Furniture, Office Supplies, and Technology individually, Add All Subtotals is the correct command.
NEW QUESTION # 48
You have a dataset that contains daily sales by business segment from 2017 to the present You want to use monthly historical trends to predict sales by segment in the future Which three actions should you perform m order?
(Place the three correct options in order Use the arrows to move Options lo Answer Area I In Answer Area arrows to re order the options.)
Answer:
Explanation:
Explanation:
The correct order of the three actions is:
* Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.
* Aggregate the date to month and year.
* From the Analytics pane, drag Forecast to the worksheet.
The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.
The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.
The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.
The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.
References: https://help.tableau.com/current/pro/desktop/en-us/analytics.htm https://help.tableau.com/current
/pro/desktop/en-us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/dates.htm
https://help.tableau.com/current/pro/desktop/en-us/analytics_forecast.htm https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_statistical.htm#MODEL_QUANTILE
NEW QUESTION # 49
A Data Analyst has the following two tables named Orders and Returns.
The analyst needs to get the Customer ID and Customer Name for only the orders that were returned. Orders will be the leading table.
Which type of join should the analyst perform in Tableau Prep?
Answer: C
NEW QUESTION # 50
A Data Analyst has the following chart.
The analyst needs to enable the drilldown from Category to Subcategory as shown in the following chart.
What should the analyst create?
Answer: B
NEW QUESTION # 51
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