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NEW QUESTION # 69
Which of the following charts types always includes bars sorted in descending order?
Answer: D
Explanation:
Explanation
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the ascending cumulative total is represented by the line.
On the primary axis, bars are used to show the raw quantities for each dimension member, sorted in descending order.
On the secondary axis, a line graph is used to show the cumulative total in percent format.
NEW QUESTION # 70
Which of the following are valid ways of Grouping Data?
Answer: A,C,D
Explanation:
Explanation
IMPORTANT QUESTION AND EXPLANATION, PLEASE READ
3 ways to group data -
1) Marks
2) Labels
3) Dimensions shelf.
IMPORTANT
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:
Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:
They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn't do this, and rather grouped by selecting their Labels (Names):
Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:
Finally, we can group directly from the Dimensions shelf as follows:
Now choose Phones, Chairs and Storage and Click Group:
You will now automatically have a new Dimension as follows:
NEW QUESTION # 71
When is an axis created for the visualisation in Tableau?
Answer: D
Explanation:
Explanation
An Individual Axis in Tableau is obtained by adding a continuous into Rows or Columns Shelf.
Example:
In order to show Individual Axis in Tableau First, we drag and drop the Color from Dimension shelf to Column Shelf. Next, we drag and drop the Sales Amount from measures shelf to Rows Shelf. Since it is a continuous value, the Sales Amount will be aggregated to default Sum. Once you drag them, following Chart report will be generated.
Next, we drag and Drop one more measure value, i.e., Total Product Cost from Measures Region to Rows Shelf. Because it is a Measure value, Total Product Cost is aggregated to default Sum. From the below screenshot, you can observe that Tableau has created an individual axis for each measure (continuous field).
NEW QUESTION # 72
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
Answer: C
Explanation:
Explanation
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source.
When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
NEW QUESTION # 73
Skipped Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Answer: B
Explanation:
Explanation
Since you need BOTH State and the YEAR, we need to use an Inner Join.
Follow the steps below:
NEW QUESTION # 74
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