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NEW QUESTION # 120
A Data Analyst is frequently asked to report on events that have a single row per day but may have missing days in the dataset. The analyst needs to fill the gaps in the data between two dates.
What should the analyst use to do this in Tableau Prep?
Answer: A
Explanation:
Tableau Prep provides a New Rows step specifically for filling gaps in sequential numeric or date data. When a dataset should contain one record per day but some dates are absent, New Rows can generate the missing date records between existing dates or within a defined range. The analyst can set the increment to one day and choose how other fields in the generated records are populated, such as Null, zero, or values copied from the previous row. Union combines rows from separate tables, Pivot reshapes columns and rows, and Aggregate changes the level of detail by grouping records. None of those operations is designed to manufacture missing dates in a sequence. Therefore, New Rows is the correct Tableau Prep operation for this requirement.
NEW QUESTION # 121
You have a dataset that contains people and the awards they have won.
Which formula should you use to get the number of different types of awards that have been won?
Answer: B
Explanation:
To get the number of different types of awards that have been won, you should use the formula COUNTD ({Award}). This formula will return the count of distinct values in the Award field, which are the different types of awards that have been won.
The other options are not correct for this scenario. COVAR({Award}) is not a valid function in Tableau. MAX ({Award}) will return the maximum value in the Award field, which may not be a type of award. INDEX() will return the index or rank of each row in a partition, which is not related to the types of awards. References:
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#COUNTD https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#INDEX The COUNTD function in Tableau calculates the number of distinct (unique) items in a field. When looking to get the number of different types of awards that have been won, the COUNTD([Award]) function will count each unique award name only once, regardless of how many times it appears in the dataset. This will return the total number of unique award types.
NEW QUESTION # 122
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 # 123
You have the following:
Overall Rank and Rank are calculated fields that use the RANK function.
You filter out the sub-category where [Ovorall Rank] - 1.
For which three the sub-categories will the value of Rank change? Choose three.
Answer: A,B,D
Explanation:
In Tableau, the RANK function assigns a rank to each row within a partition of the data, based on the value of the field being ranked. It is important to understand that the rank is recalculated whenever the underlying data or the partitioning changes.
In the given scenario, the Overall Rank is based on the Sales figures, while the Rank (presumably) is based on the Sales within the Category. When filtering on the condition where [Overall Rank] - 1, it means we are excluding the sub-category that has an Overall Rank of 2.
Looking at the data:
* Furnishings has an Overall Rank of 8, which does not meet the filter condition ([Overall Rank] - 1).
Therefore, its rank remains the same.
* Tables have an Overall Rank of 3. When the sub-category with an Overall Rank of 2 is removed (Chairs in this case), Tables move up in the overall ranking. However, since Tables are the top-ranked within the Furniture category, their Rank within the category would remain unchanged at 1.
* Chairs have an Overall Rank of 2, which meets the filter condition and thus will be removed from the view. We cannot determine the change in Rank for Chairs because they are filtered out.
* Accessories have an Overall Rank of 5. If any sub-category with a higher Overall Rank (1 to 4) is removed, the rank of Accessories within the Technology category could change because it is currently ranked 3 in its category. With the removal of Phones (Overall Rank 1), the Rank of Accessories could potentially increase.
* Copiers have an Overall Rank of 6, which does not meet the filter condition. Therefore, its rank remains the same.
* Machines have an Overall Rank of 4. If we remove Phones (Overall Rank 1), Machines will move up in the overall ranking and potentially within the Technology category as well, changing its Rank from 2 to 1.
* Phones have an Overall Rank of 1, which does not meet the filter condition of being Overall Rank 2.
Therefore, its rank remains the same.
* Bookcases have an Overall Rank of 7, which does not meet the filter condition. Therefore, its rank remains the same.
Based on this analysis, when the sub-category with an Overall Rank of 2 (Chairs) is removed, the Rank value will change for Tables, Accessories, and Machines, as they will move up in the overall ranking within their respective categories. However, it's important to note that while Tables will move up in the overall ranking, their rank within the Furniture category would not change as they are already at the top. The rank changes for Accessories and Machines are due to the removal of Phones, which is ranked higher overall and within the Technology category.
NEW QUESTION # 124
Which type of visualization interaction can a Data Analyst achieve using set actions?
Answer: A
Explanation:
Set actions allow selections made in a worksheet or dashboard to update membership in an existing set. That set can then be used in calculations or placed on the Marks card to change how another visualization is encoded. A common design is to place set membership on Color, so selecting marks in a source view changes which marks are in or out of the set and therefore changes their colors in a target view. This is exactly the interaction described in option B. Set actions are not intended to join or filter across unrelated data sources automatically, and pie-chart dataset-size comparison is simply a chart-design task. Likewise, highlighting proportions in a Gantt chart is not a defining set-action behavior. The key mechanism is selection-driven set membership that controls a visual property such as Color.
NEW QUESTION # 125
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