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Questions and Answers

What is the first step to create a cohort chart?

  • Group data into different cohorts
  • Select the dataset in Flow.BI
  • Define and calculate the metric across the cohort
  • Define the cohort (correct)

    • In Flow.BI, where can you create a heatmap or cohort chart using the Explore view?

  • Flow.BI home screen
  • Explore page (correct)
  • SQL Lab page
  • Dashboard view

    • What action should you take after dragging and dropping the fields in the chart builder?

  • Set the chart title
  • Select the chart type
  • Run the query
  • Save the chart (correct)

    • Which view in Flow.BI requires writing a SQL query to visualize data?

    <p>SQL Lab page</p> Signup and view all the answers

    What is an essential customization option for a heatmap or cohort chart?

    <p>Title setting</p> Signup and view all the answers

    What is required to save a heatmap or cohort chart in Flow.BI?

    <p>Click the Save button</p> Signup and view all the answers

    To create a cohort chart, you only need to consider two steps: defining the cohort and calculating the metric across the cohort.

    <p>False</p> Signup and view all the answers

    In Flow.BI, you can only create a heatmap using the Explore view.

    <p>False</p> Signup and view all the answers

    In the SQL Lab of Flow.BI, you need to write a SQL query before visualizing data.

    <p>True</p> Signup and view all the answers

    When creating a heatmap or cohort chart, customizing the chart by setting the title, axis labels, and other options is an optional step.

    <p>False</p> Signup and view all the answers

    To save a heatmap or cohort chart in Flow.BI, you need to click the Run button after executing the SQL query in SQL Lab.

    <p>False</p> Signup and view all the answers

    In Flow.BI, you cannot use SQL queries to create a cohort chart; it can only be done in the Explore view.

    <p>False</p> Signup and view all the answers

    In Flow.BI, selecting the Heatmap or Cohort chart type is done after clicking the Save button.

    <p>False</p> Signup and view all the answers

    Match the following steps with the correct actions to create a heatmap or cohort chart in Flow.BI:

    <p>Define the cohort = Select the dataset Group data into different cohorts = Drag and drop fields in the chart builder Define and calculate the metric across the cohort = Set the title and axis labels Save the heatmap or cohort chart = Click the Save button</p> Signup and view all the answers

    Match the following locations with their respective actions in Flow.BI for creating a heatmap or cohort chart:

    <p>Explore page = Click the + button SQL Lab page = Click Run to execute the query</p> Signup and view all the answers

    Match the customization options with their related steps to create a heatmap or cohort chart in Flow.BI:

    <p>Setting title and axis labels = Save the chart Selecting Heatmap or Cohort chart type = After executing the query</p> Signup and view all the answers

    Match the following actions with their respective outcomes in creating a heatmap or cohort chart:

    <p>Click Run to execute SQL query in SQL Lab = Visualize data Customize chart by setting title, axis labels, and other options = Save heatmap or cohort chart Drag and drop fields in the chart builder = Group data into different cohorts Select Chart after clicking the + button on Explore page = Create a heatmap</p> Signup and view all the answers

    Match the necessary steps with their corresponding descriptions for saving a heatmap or cohort chart in Flow.BI:

    <p>Writing a SQL query in SQL Lab = Before visualizing data Clicking Save button after customizing chart = To save the chart Executing SQL query in SQL Lab = Before clicking Visualize Clicking Visualize after Running query in SQL Lab = To visualize results</p> Signup and view all the answers

    Match the following views with their specific requirements for creating a heatmap or cohort chart in Flow.BI:

    <p>SQL Lab page = Click Visualize to see results Explore page = Drag and drop fields for visualization</p> Signup and view all the answers

    Match each step with its corresponding importance in creating a heatmap or cohort chart:

    <p>Defining the cohort = Initiating the process Calculating metric across cohorts = Evaluating performance Selecting Heatmap or Cohort type = Choosing visualization method Customizing chart with title and axis labels = Enhancing visualization clarity</p> Signup and view all the answers

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