HOTSPOT – You have a dataset named Pens that contains the following columns: ✑ Item ✑ Unit Price ✑ Quantity Ordered You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity. Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer…

QuestionsCategory: PL-300HOTSPOT – You have a dataset named Pens that contains the following columns: ✑ Item ✑ Unit Price ✑ Quantity Ordered You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity. Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer…
Admin Staff asked 7 months ago
HOTSPOT -
You have a dataset named Pens that contains the following columns:
✑ Item
✑ Unit Price
✑ Quantity Ordered
You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity.
Which type of visualization and which feature should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
 Image
















 

Suggested Answer: 
    Correct Answer Image

Box 1: A scatter plot of Quantity Ordered and Unit Price by item
A scatter chart shows the relationship between two numerical values.
Note: Scatter charts are a great choice:
To show relationships between two numerical values.
To plot two groups of numbers as one series of x and y coordinates.
To use instead of a line chart when you want to change the scale of the horizontal axis.
To turn the horizontal axis into a logarithmic scale.
To display worksheet data that includes pairs or grouped sets of values.
To show patterns in large sets of data, for example by showing linear or non-linear trends, clusters, and outliers.
To compare large numbers of data points without regard to time. The more data that you include in a Scatter chart, the better the comparisons that you can make.
Box 2: Automatically find clusters
Scatter charts are a great choice:
* To show patterns in large sets of data, for example by showing linear or non-linear trends, clusters, and outliers.
Reference:
https://github.com/Microsoft/powerbi-visuals-corrplot/

This question is in PL-300 Exam
For getting Microsoft Power BI Data Analyst Associate Certificate

Next Post

Recommended

Welcome Back!

Login to your account below

Create New Account!

Fill the forms below to register

Retrieve your password

Please enter your username or email address to reset your password.