Power BI: Ribbon & Treemap Charts

• Power BI offers a variety of charts and visuals to transform raw data into meaningful insights for effective data analysis.

Ribbon Chart

• Combines stacked column and waterfall chart features
• Displays data as connected bars/ribbons, each representing a category segment
• Ribbon width reflects category value, stacked in descending order
• Allows easy comparison of relative category values and identification of top performers

Treemap Charts

• Hierarchical visualizations display data as nested rectangles
• Each rectangle represents a data category or value
• Rectangle size corresponds to the magnitude of the respective category or value
• Useful for visualizing large datasets with multiple hierarchy levels

Types of Treemap Charts

• Squarified Treemap: Divides space into squares to ease size comparison, even if it distorts rectangles, and can reduce chart appeal
• Slice and Dice Treemap: Divides space into rectangles with variable aspect ratios based on data values, more visually appealing, but may complicate size.

Map Charts

• Data visualizations that display information geographically using maps for a visual canvas
• Enable analysis of spatial patterns and trends in the data
• Provide insights into how location affects business metrics

Types of Map Charts

• Filled Map (Choropleth): Divides space into squares to ease size comparison, even if it distorts rectangles, and can reduce chart appeal
• Shape Map: Uses different shapes and colors and is ideal for visualizing discrete values at specific locations, identifying clusters, or finding patterns

Card Charts

• Data visualization elements that show a single data point clearly and concisely.
• Highlight key metrics, trends, and KPIs (key performance indicators)

Gauge Charts

• Circular visualization for measuring progress toward a target goal
• Visually represents metric value relative to defined minimum and maximum range
• Makes understanding progress easy

Types of Gauge Charts

• Card Gauge: Rectangular, displaying current, minimum, and maximum values, and other info in card format
• Linear Gauge: Similar to a progress bar, uses a horizontal line to represent progress

Matrix Chart

• Versatile Power BI visualization tool for displaying, comparing data across categories and measures
• Combines table and chart functionality, concise and interactive way to analyze complex datasets

Radar Charts

• Radar, spider, or web charts compare multiple variables for different categories
• Data points displayed on axes radiating from a central point, like a spider web
• Each axis represents a variable
• Distance of a data point from the center on each axis represents the value of the variable
• Forms a polygon by connecting the data points

Types of Radar Charts

• Filled Radar Chart: Most common type; polygon area is color-filled to highlight differences
• Line Radar Chart: Shows only the lines connecting the data points, showing data trends over time
• Area Radar Chart: Combination of filled and line charts, showing filled area and connecting lines

Candlestick Charts

• Specialized chart type for visualizing financial data, particularly stock prices
• Uses candles/bars to represent high, low, open, and close prices over time
• Investors/analysts quickly identify trends and patterns

Combo Charts

• Single Power BI visualization combining two different chart types, usually line and column
• Displays different data types in the same context
• Easier to identify trends and relationships

Types of Combo Charts

• Line and Stacked Column Chart: Compares two measures on different scales; the line chart represents one measure, and the stacked column chart illustrates the other
• Line and Clustered Column Chart: Compares measures on the same scale; the line chart represents one measure, and each cluster of columns represents a different measure

Box and Whisker Charts

• Visual representations of the distribution of a quantitative variable
• Summarizes data and identifies patterns, outliers, and central tendency

Heat Map Charts

• Data visualization using color gradients to represent measure magnitude across two dimensions
• Identifies patterns, trends, and outliers

Decomposition Tree Charts

• Hierarchical visualization tool to analyze the breakdown of a single measure into contributing factors
• Presents data in a nested structure
• Each level provides a deeper understanding of the composition of the overall value

Types of Decomposition Tree Charts

• Single Measure Decomposition Tree: Analyzes the breakdown of a single measure into its contributing factors
• Comparative Decomposition Tree: Compare the decomposition of two or more measures across different hierarchy levels

Key Influencers Chart

• AI-powered Power BI visualization
• Identifies key factors influencing a specific metric
• Uses machine learning algorithms to analyze data
• Uncovers hidden relationships and patterns contributing to a measure's value

Q&A Visual

• Power BI visual
• Allows users to explore data using natural language
• Generates a chart that best answers the query
• Works for users unfamiliar with data visualization intricacies

Power BI Reports

• Collections of visuals and data
• Provide a consolidated view of business data
• Highly customizable: Pin visuals, tables, other data, and customize report layout/appearance

Filters in Power BI

• Used to focus on relevant data
• Can be added to a Filters pane

Types of Filters

• Report Level Filters: Affect all data within the Power BI report
• Page Level Filters: Only affect a specific page of a report
• Visual Level Filters: Filter data only on a visual basis

Cross-Chart Filtering

• Users can use one visual in the report as a filter for other components
• Selecting a slice from a donut chart, applies automatic filters, and showing relevant data
• Slicers perform cross-chart filtering by default

Slicers in Power BI

• Visible on the report page
• Allow users to choose what to filter and display
• More user-friendly than the Filters pane