Power BI Visualizations & Their Use

Power BI Desktop offers a wide range of charts and visualizations that can be used to represent data in various formats. Here are some of the most commonly used charts and their applications:

1. Bar Chart: Used to compare data across categories or groups. It is suitable for showing the relationship between a numerical variable and a categorical variable
2. Stacked Bar Chart: Similar to a bar chart, but it can show the total and the proportion of each group
3. Line Chart: Ideal for showing trends over time or continuous data. It is useful for identifying patterns and changes in data over a period
4. Area Chart: It is a variation of the line chart and is used to represent the cumulative total of the data
5. Line & Stacked Column Chart: Combines a line chart and a stacked column chart to show data trends and the proportion of each group simultaneously
6. Line & Clustered Column Chart: Similar to the previous chart, but it uses a clustered column instead of a stacked column to show the proportion of each group
7. Ribbon Chart: Shows which data category has the highest rank. It is effective at showing rank change
8. Waterfall Chart: Used to show how an initial value is affected by a series of positive and negative changes. It is suitable for displaying financial data and identifying the main drivers of change
9. Funnel Chart: Used to represent stages in a sales process and show the amount of potential revenue for each stage
10. Scatter Plot: Shows the relationship between two variables. It is useful for identifying correlations and outliers in data
11. Pie Chart: Shows the proportion of data in each category. It is suitable for displaying data as a percentage of the whole
12. Donut Chart: Similar to a pie chart, but with a hole in the center. It is used to show the proportion of data in each category
13. Treemap: Displays hierarchical data as a set of nested rectangles. It is useful for comparing proportions within the hierarchy
14. Map: Shows data geographically. It is useful for identifying patterns and trends in data across regions
15. Filled Map: Similar to a map, but areas are shaded or patterned in proportion to the data
16. Azure Map: Provides advanced geospatial capabilities for mapping visualizations
17. Gauge Chart: Shows progress towards a goal or target. It is suitable for displaying KPIs and metrics in a visual format
18. Card: Displays a single data value. It is useful for showing key metrics and KPIs
19. Multi-Row Card: Similar to a card, but it can display multiple values
20. KPI: Key Performance Indicator (KPI) visualizations are used to evaluate the success of an organization or of a particular activity
21. Key Influencer: Identifies the key factors that affect a particular metric
22. Decomposition Tree: Allows users to visualize and analyze the different factors that contribute to a particular data point

These visualizations can be used in various scenarios based on the nature of the data and the insights you want to convey. It’s important to choose the right visualization to effectively communicate the story within your data.

It is important to choose the right chart type that best represents your data and insights.

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