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NEW QUESTION 35
True or False: To concatenate fields, they must be of same data type

• A. False
• B. True

Answer: B

Explanation:
Explanation
Yes! To concatenate fields, they must be of same data type. However, there is a workaround which we can use
- Type casting. See below:

Here, State and City are Strings, but Postal Code? Nope. It's an Integer. So we can simply use the STR() function to convert it into a String, and hence the entire equation becomes valid!

NEW QUESTION 36
Suppose you have a bar chart. When we group by labels in a view, which of the following happens?

• A. Trick question! It is not possible to group by labels.
• B. Nothing changes in the view, but a group is created in the Dimensions shelf.
• C. The colours of the members selected are now the same, and different for the rest of the members.
• D. A new mark (bar) is created, which consolidates all members of the group.

Answer: D

Explanation:
Explanation
*Very important question*
If we select the labels in the view and then group, a new consolidated mark is created - in our case bar since we are talking about a bar chart in the question. See below:

Then on grouping, a new bar is created, and the colour of all bars remain the same.

Had we grouped by choosing the marks instead of the labels, the following would be the result:

NEW QUESTION 37
Using the Geo Data table, create a Bar chart showing the In-Stock percentage for each Color. What is the Average In-Stock percentage for the Color Red? Present your answer correctly upto 2 decimal places.

• A. 99.46%
• B. 96.46%
• C. 95.12%
• D. 97.12%

Answer: D

Explanation:
Explanation
Not too tough. Follow along the steps:
* Drag Color to Filter and choose Red:
* 3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:
* And your final view will look like :

NEW QUESTION 38
Yes or No: The number of marks will increase when you increase the number of Dimensions in a view

• A. Yes
• B. No

Answer: A

Explanation:
Explanation
Of course! As an example, see below:
1) Using the Sample Superstore data, let's plot a bar chart showing the Sales for each Category:

Observe that we have 3 marks - Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark - a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
2) Now let's add subcategory to the view as well (another dimension):

Observe that the number of marks has increased - i.e the number of Bars.
Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)

NEW QUESTION 39
......