01 Table and Matrix Flashcards
What is the structure of a Table Visualization?
2-dimensional (rows and columns)
Tables are designed to display raw data without aggregation.
What is the primary functionality of a Table Visualization?
Displays raw data without aggregation (duplicates allowed)
Useful for detailed data analysis.
Name a key feature of Table Visualization.
Drag-and-drop interface for adding data fields
Enhances usability for data management.
What type of calculations can a Table Visualization perform?
Flexible calculations for numerical values (sum, average, etc.)
Allows for various analytical needs.
What are the use cases for Table Visualization?
Best for detailed, non-aggregated data analysis
Ideal when granular data insights are required.
What is the structure of a Matrix Visualization?
Multi-dimensional (rows, columns, and values)
Enables more complex data representation.
What is the primary functionality of a Matrix Visualization?
Automatically aggregates data for summary views
Focuses on providing insights from grouped data.
Name a key feature of Matrix Visualization.
Organizes data by rows, columns, and values (e.g., region, category, sales)
Facilitates structured data exploration.
What navigation feature is unique to Matrix Visualization?
Drill-down/drill-up for hierarchical navigation
Allows users to explore data at different levels of detail.
What distinguishes the formatting options of a Matrix from a Table?
Extensive formatting options (styles, gridlines, colors)
Enhances visual appeal and clarity in data presentation.
What are the use cases for Matrix Visualization?
Ideal for exploring aggregated data, identifying trends, and comparing categories across dimensions
Suitable for high-level data analysis.
True or False: Tables allow for data aggregation.
False
Tables display raw data without aggregation.
Fill in the blank: Tables excel in showing _______.
detailed information
They provide insights into specific data points.
Fill in the blank: Matrices provide powerful _______ and exploration capabilities.
summarization
They condense data into meaningful summaries.
