Podcast
Questions and Answers
What is the first step to create a scatter plot in Flow.BI's Explore view?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
Why is it important to use a consistent color scheme throughout a scatter plot?
What can interactivity in scatter plots help users do?
What can interactivity in scatter plots help users do?
In creating informative scatter plots, what should be considered?
In creating informative scatter plots, what should be considered?
In a scatter plot, the height is typically represented on the x-axis.
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.
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.
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.
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.
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.
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.
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 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.
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.
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'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.
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.
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.
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.
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 elements of effective scatter plots with their descriptions:
Match the following tips for creating scatter plots with their purposes:
Match the following tips for creating scatter plots with their purposes:
Match the following statements about scatter plots with their accuracy:
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 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 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 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 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 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 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 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:
Match the following steps with their sequence in creating a scatter plot using Flow.BI's Explore view: