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NEW QUESTION # 159
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
Answer: D
Explanation:
The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If
'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.
The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since
"Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.
Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.
NEW QUESTION # 160
You create a parameter named Choose Region fiat contains values from a field named Region.
You want users to be able to use the Choose Region parameter to interact with a chart by logging between different regions What should you do next?
Answer: B
Explanation:
https://kb.tableau.com/articles/howto/filtering-data-with-a-parameter?lang=fr-fr After creating a parameter named Choose Region, you want to use it to filter the chart based on the user's selection. To do this, you would create a calculated field with the formula [Region] = [Choose Region] and add this calculated field to the Filters card. This will dynamically filter the chart to display data only for the region that matches the user's selection in the Choose Region parameter.
NEW QUESTION # 161
A Data Analyst has the following worksheet, with Profit data for Categary and Sub-Categury.
The analyst executed the following calculated field at the Total level:
COUNTD( IF ( INCLUDE [Sub-Category]: SUM([Profit]) < 0 THEN [Category] END ) What is the result?
Answer: B
NEW QUESTION # 162
You have a data source that contains the following columns.
You have the following view that shows the percentage of total sales by category:
You want to change the calculation to show the percentage of total sales within the categories of every region annually. Which Compute Using option should you use? (Click the appropriate Option in the Answer Area.)
Answer:
Explanation:
Explanation:
NEW QUESTION # 163
You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.)
Answer:
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
* Join the tables.
* Aggregate the data by Sales Team.
* Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References:
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section "Preparing Data"
[Tableau Help: Join Your Data]
[Tableau Help: Aggregate Your Data]
[Tableau Help: Filter Your Data]
NEW QUESTION # 164
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