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How to create Hierarchies in Power BI Matrix

Quiz by Support - BusinessPromoted .com

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10 questions
Show answers
  • Q1
    What is the primary purpose of creating hierarchies in Power BI?
    To organize data for better analysis
    To automate data entry
    To reduce data size
    To enhance data security
    30s
  • Q2
    Which visual is used in the video to demonstrate hierarchies in Power BI?
    Line Graph
    Bar Chart
    Matrix Visual
    Pie Chart
    30s
  • Q3
    How do you add subcategories in a matrix visual to create a hierarchy?
    By using calculated columns
    By importing data
    By dragging and dropping fields
    By applying filters
    30s
  • Q4
    What is a practical example used in the video to demonstrate hierarchies?
    Distribution of furniture sales
    Website traffic report
    Financial performance analysis
    Customer feedback summary
    30s
  • Q5
    Which aspect of the matrix visual is emphasized for enhancing readability?
    Data import methods
    Refresh rate
    Customization and formatting
    Security settings
    30s
  • Q6
    What is one of the key benefits of using hierarchies in data analysis?
    Enhanced color schemes
    Increased data volume
    Simplified data import
    Better data organization
    30s
  • Q7
    What is the first step in creating a hierarchy in Power BI as shown in the video?
    Importing the data
    Applying filters
    Setting up relationships
    Adding the main category
    30s
  • Q8
    Why is it important to customize and format the matrix visual?
    To increase processing speed
    To improve data security
    To enhance readability
    To automate calculations
    30s
  • Q9
    How can hierarchies help in exploring data more effectively?
    By automating data updates
    By providing structured navigation
    By creating new data fields
    By reducing the number of visuals
    30s
  • Q10
    What type of data visualization is primarily focused on in the video?
    Hierarchical data visualization
    Trend analysis
    Predictive modeling
    Geographic mapping
    30s

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