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You have the following dataset.
Which grouping option should you use m Tableau Prep to group al five names automatically?
To group all five names automatically, you should use Manual Selection as a grouping option in Tableau Prep. Manual Selection is a feature that allows you to select values from your data and group them together based on your criteria. You can use Manual Selection by clicking on Group Values in Profile pane > Manual Selection from the menu. This will open a dialog box where you can select values from your data and assign them to a group.
In this case, you want to group all five names together based on their spelling variations. You can use Manual Selection by selecting all five values from your data and assigning them to a group named ''Harry Potter''. This will create a new field named Grouped Field that contains ''Harry Potter'' as one value.
The other options are not correct for this scenario. Pronunciation is a feature that groups values based on how they sound, but it may not work well with names or uncommon words. Spelling is a feature that groups values based on common spelling errors or typos, but it may not recognize all variations or synonyms. Common Characters is a feature that groups values based on the number of characters they share, but it may not capture the meaning or context of the values. Reference: https://help.tableau.com/current/prep/en-us/prep_group.htm https://help.tableau.com/current/prep/en-us/prep_group_manual.htm
You have the following dataset.
You want to create a new calculated dimension field named Category that meets the following conditions:
. When Subject is Computer Science or Science, Category must be Sciences.
. When Subject is English or Social Studies, Category must be Humanities.
Which two logical functions achieve the goal? Choose two.
To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either 'Sciences' or 'Humanities'. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign 'Humanities' to any subject that contains 'Science' in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with 'Computer Science' and ignore the other subjects.Reference:
Tableau Certified Data Analyst Study Guide
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.
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.
You want to create the following dashboard.
The dashboard will contain two sheets that will connect to the same data source. The top sheet will be configured to filter the bottom sheet.
When you click a category on the top sheet, the sheets must resize as shown in the following exhibit.
How should you lay out the objects on the dashboard?
To create the dashboard as shown in the image, you need to use a vertical layout container that will adjust the height of the sheets according to the window size. You also need to set the Fit to Entire view option for both sheets so that they will resize proportionally when you click a category on the top sheet. This way, you can achieve the desired effect of having the bottom sheet expand to fill the space left by the top sheet when it filters out some categories.Reference:
Size and Lay Out Your Dashboard - Tableau
Format Dashboard Layout in Tableau - GeeksforGeeks
You have the following chart that shows the cumulative of sales from various dates.
You want the months to appear as shown in the following chart.
What should you do?
To make the months appear as shown in the second chart, you need to convert the date to Continuous. A continuous date is a green pill that shows a range of values on an axis. A discrete date is a blue pill that shows individual values as headers. In this case, you want to show a continuous range of months on the x-axis, instead of discrete headers.
To convert the date to Continuous, you need to do the following steps:
Right-click on the date field on the Columns shelf and select Convert to Continuous from the menu. This will change the date pill from blue to green and show a continuous range of dates on the x-axis.
Right-click on the date field again and select Month (January 2017) from the menu. This will change the level of detail of the date to month and year, instead of day.
Optionally, you can format the date axis by right-clicking on it and selecting Format from the menu. You can change the scale, tick marks, labels, and other options.
The other options are not correct for this scenario. Converting the date to Exact Date will show every single date as a header, which will be too crowded and unreadable. Selecting Show Missing Values for the date will fill in any gaps in the data with null values, but it will not change how the months appear. Converting the date to Attribute will return only one value for each partition of data, which will not show any variation over time. Reference: https://help.tableau.com/current/pro/desktop/en-us/dates.htm https://help.tableau.com/current/pro/desktop/en-us/dates_continuous.htm https://help.tableau.com/current/pro/desktop/en-us/formatting.htm
