[05/Rokel/39]

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What is the first step to create a scatter plot in Flow.BI's Explore view?

Select the dataset

Drag and drop fields

Click the + button and select Chart (correct)

Run a SQL query

In Flow.BI's SQL Lab, after writing a SQL query to select the data, what should you do next to visualize the results as a scatter plot?

Click Run

Select X and Y fields

Click Visualize (correct)

Set axis labels

Which section of the chart builder should the X field be dragged to when creating a scatter plot in Flow.BI's Explore view?

Size

Color

X-axis (correct)

Y-axis

What should you do after customizing a scatter plot in Flow.BI?

Save the scatter plot Signup and view all the answers

Which tab should be used in Flow.BI's Chart Builder to create a scatter plot?

Data Signup and view all the answers

What is the purpose of selecting the X and Y fields from drop-down menus in Flow.BI's SQL Lab when creating a scatter plot?

To define horizontal and vertical axes Signup and view all the answers

When creating a scatter plot in Flow.BI, which fields should represent the horizontal and vertical axes respectively?

Y field and X field Signup and view all the answers

What does the SQL query SELECT height, weight FROM people ORDER BY height, weight; return?

Height and weight for each person in the dataset Signup and view all the answers

In a scatter plot created using the provided SQL query, what is usually represented on the x-axis?

Height Signup and view all the answers

What is a key recommendation for creating effective scatter plots?

Using a clear and concise title Signup and view all the answers

How can scatter plots be made more understandable to individuals with no prior data knowledge?

By using clear labels on the x- and y-axes Signup and view all the answers

What feature can be added to a scatter plot to highlight key findings?

Annotations or labels Signup and view all the answers

Why is it important to use a consistent color scheme throughout a scatter plot?

To avoid confusion and maintain clarity Signup and view all the answers

What can interactivity in scatter plots help users do?

Explore the data in more detail Signup and view all the answers

In creating informative scatter plots, what should be considered?

Adding annotations for key insights Signup and view all the answers

In a scatter plot, the height is typically represented on the x-axis.

True Signup and view all the answers

Annotations and labels should be avoided in scatter plots to keep them simple.

False Signup and view all the answers

Using a variety of colors inconsistently in a scatter plot is recommended for visual appeal.

False Signup and view all the answers

Interactivity in scatter plots allows users to explore the data in more detail.

True Signup and view all the answers

Scatter plots are not considered valuable tools for data visualization and communication.

False Signup and view all the answers

Creating effective scatter plots involves providing a vague title that does not describe the plot clearly.

False Signup and view all the answers

In SQL, the query SELECT height, weight FROM people will return the height and weight for each person in the dataset.

True Signup and view all the answers

To create visually appealing scatter plots, it is recommended to make them difficult to read for individuals with no prior data knowledge.

False Signup and view all the answers

To create a scatter plot in Flow.BI, you can only use the Scatter Plot chart type in the Explore view.

False Signup and view all the answers

When creating a scatter plot in Flow.BI's Explore view, the X field should represent the vertical axis of the scatter plot.

False Signup and view all the answers

In Flow.BI's SQL Lab, after executing the query, you must click the Save button to save the scatter plot.

False Signup and view all the answers

In Flow.BI, you can customize scatter plots by setting the title and axis labels.

True Signup and view all the answers

The Scatter Plot chart type can be selected in both Explore view and SQL Lab in Flow.BI.

True Signup and view all the answers

When creating a scatter plot in Flow.BI's Chart Builder, you should drag and drop fields to select the data for visualization.

True Signup and view all the answers

After creating a scatter plot in Flow.BI, it is not possible to go back and customize it further.

False Signup and view all the answers

Match the following elements of effective scatter plots with their descriptions:

Clear and concise title = Describes the scatter plot purpose in a brief manner Label the x- and y-axes = Ensures clarity on what each axis represents Consistent color scheme = Maintains visual coherence throughout the plot Annotations or labels = Highlights key findings in the data Signup and view all the answers

Match the following tips for creating scatter plots with their purposes:

Use interactivity = Allow users to explore the data more deeply Add annotations or labels = Highlight important data points or trends Use a clear title = Describe the scatter plot content concisely Label x- and y-axes = Ensure clear understanding of data representation Signup and view all the answers

Match the following statements about scatter plots with their accuracy:

Scatter plots are valuable tools for data visualization = True Annotations and labels should be avoided in scatter plots = False Interactivity allows users to explore data in more detail = True Variety of colors inconsistently is recommended for visual appeal = False Signup and view all the answers

Match the following actions when creating scatter plots in Flow.BI with their correct steps:

Drag and drop fields in Chart Builder = Select data for visualization Click Save after executing SQL query = Save the scatter plot Set title and axis labels for customization = Customize scatter plots further Use X and Y fields from drop-down menus = Select axes for visualization Signup and view all the answers

Match the following actions with the correct steps for creating a scatter plot in Flow.BI:

Select the Scatter Plot chart type = Choose the chart type after clicking the + button Drag and drop fields for X and Y axes = Place the fields in the appropriate sections of the chart builder Customize the scatter plot settings = Set the title, axis labels, and other options Save the scatter plot = Click the Save button to finalize the scatter plot Signup and view all the answers

Match the following descriptions with their correct corresponding features in a scatter plot:

X field = Represents the horizontal axis Y field = Represents the vertical axis Title customization = Allows setting a specific title for the scatter plot Axis labels setting = Enables labeling the axes with appropriate descriptions Signup and view all the answers

Match the following statements with actions related to creating a scatter plot in SQL Lab:

Write a SQL query to select data = Prepare the query to retrieve necessary data Visualize query results as a scatter plot = Select Scatter Plot chart type after executing the query Customize scatter plot settings = Adjust title, axis labels, and other options Save the scatter plot = Finalize by clicking Save button after customization Signup and view all the answers

Match the following purposes with their importance in creating effective scatter plots:

Consistent color scheme usage = Enhances visual clarity and understanding Avoiding complex visuals for novices = Ensuring accessibility and comprehension for all viewers Adding interactivity features = Enabling deeper exploration of data points Highlighting key findings = Directing attention to significant insights Signup and view all the answers

Match the following best practices with their relevance in creating informative scatter plots:

Consideration of annotations and labels = Adding context and clarity to data points Using clear and descriptive titles = Guiding viewers on the plot's content Avoiding inconsistent color usage = Preventing confusion and misinterpretation Utilizing interactive elements = Engaging users for detailed analysis Signup and view all the answers

Match the following components with their corresponding roles in customizing a scatter plot:

Setting title = Providing a brief description of the visualized data Labeling axes = Defining what each dimension on the plot represents Choosing color scheme = Determining how data points are visually differentiated Adding annotations = Including specific notes or details for certain points Signup and view all the answers

Match the following steps with their sequence in creating a scatter plot using Flow.BI's Explore view:

Select dataset and open Explore page = Begin by choosing relevant data source and accessing visualization tools Drag X and Y fields onto chart builder sections = Place variables correctly to represent horizontal and vertical axes Customize scatter plot settings = Adjust title, axis labels, and other display options Save finalized scatter plot = Click Save button to store the completed visual representation Signup and view all the answers

[05/Rokel/39]

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Questions and Answers

What is the first step to create a scatter plot in Flow.BI's Explore view?

In Flow.BI's SQL Lab, after writing a SQL query to select the data, what should you do next to visualize the results as a scatter plot?

Which section of the chart builder should the X field be dragged to when creating a scatter plot in Flow.BI's Explore view?

What should you do after customizing a scatter plot in Flow.BI?

Which tab should be used in Flow.BI's Chart Builder to create a scatter plot?

What is the purpose of selecting the X and Y fields from drop-down menus in Flow.BI's SQL Lab when creating a scatter plot?

When creating a scatter plot in Flow.BI, which fields should represent the horizontal and vertical axes respectively?

What does the SQL query SELECT height, weight FROM people ORDER BY height, weight; return?

In a scatter plot created using the provided SQL query, what is usually represented on the x-axis?

What is a key recommendation for creating effective scatter plots?

How can scatter plots be made more understandable to individuals with no prior data knowledge?

What feature can be added to a scatter plot to highlight key findings?

Why is it important to use a consistent color scheme throughout a scatter plot?

What can interactivity in scatter plots help users do?

In creating informative scatter plots, what should be considered?

In a scatter plot, the height is typically represented on the x-axis.

Annotations and labels should be avoided in scatter plots to keep them simple.

Using a variety of colors inconsistently in a scatter plot is recommended for visual appeal.

Interactivity in scatter plots allows users to explore the data in more detail.

Scatter plots are not considered valuable tools for data visualization and communication.

Creating effective scatter plots involves providing a vague title that does not describe the plot clearly.

In SQL, the query SELECT height, weight FROM people will return the height and weight for each person in the dataset.

To create visually appealing scatter plots, it is recommended to make them difficult to read for individuals with no prior data knowledge.

To create a scatter plot in Flow.BI, you can only use the Scatter Plot chart type in the Explore view.

When creating a scatter plot in Flow.BI's Explore view, the X field should represent the vertical axis of the scatter plot.

In Flow.BI's SQL Lab, after executing the query, you must click the Save button to save the scatter plot.

In Flow.BI, you can customize scatter plots by setting the title and axis labels.

The Scatter Plot chart type can be selected in both Explore view and SQL Lab in Flow.BI.

When creating a scatter plot in Flow.BI's Chart Builder, you should drag and drop fields to select the data for visualization.

After creating a scatter plot in Flow.BI, it is not possible to go back and customize it further.

Match the following elements of effective scatter plots with their descriptions:

Match the following tips for creating scatter plots with their purposes:

Match the following statements about scatter plots with their accuracy:

Match the following actions when creating scatter plots in Flow.BI with their correct steps:

Match the following actions with the correct steps for creating a scatter plot in Flow.BI:

Match the following descriptions with their correct corresponding features in a scatter plot:

Match the following statements with actions related to creating a scatter plot in SQL Lab:

Match the following purposes with their importance in creating effective scatter plots:

Match the following best practices with their relevance in creating informative scatter plots:

Match the following components with their corresponding roles in customizing a scatter plot:

Match the following steps with their sequence in creating a scatter plot using Flow.BI's Explore view:

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