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1. Bar and Column charts

  • Purpose: Display categorical data with rectangular bars representing values for each category.
  • Benefits:
    • Ideal for comparing data across categories.
    • Highlight trends and differences in measures.
    • Easy to interpret, especially for side-by-side comparisons.

2. line charts

  



  • Purpose: Show trends or changes over time by connecting data points with a line.
  • Benefits:
    • Effective for time-series analysis.
    • Great for visualizing continuous data.
    • Helps identify patterns such as seasonality or growth.

3. Pie and donut charts

  

  • Purpose: Show proportions of a whole as slices of a circle.
  • Benefits:
    • Easy to understand at a glance.
    • Highlight percentage distribution. 
    • Best for small datasets with few categories. 

4. area charts

  

  

  • Purpose: Highlight trends over time with shaded areas under a line chart.
  • Benefits:
    • Combines the benefits of line and bar charts.
    • Shows the magnitude of values over time.
    • Visually appealing for cumulative trends.

5. scatter charts

  • Purpose: Display relationships or correlations between two numerical variables.
  • Benefits:
    • Highlights patterns, clusters, and outliers.
    • Great for advanced analytics (e.g., regression analysis).
    • Visualize large datasets effectively.

6. Treemaps

  




  • Purpose: Represent hierarchical data using nested rectangles.
  • Benefits:
    • Show proportions and hierarchy simultaneously.
    • Easy to spot largest or smallest segments.
    • Ideal for visualizing part-to-whole relationships.

7. maps (Basic, filled, and arcgis maps)

  • Purpose:  Visualize geographic data on a map.
  • Benefits:
    • Highlight spatial trends and geographic distributions.
    • Great for regional comparisons.
    • Integrate additional geospatial features with ArcGIS Maps.

8. waterfall charts

  


  

  • Purpose: Show the cumulative effect of sequential positive and negative values.
  • Benefits:
    • Ideal for analyzing contributions to a total.
    • Helps break down components of a measure (e.g., profit).
    • Visually intuitive for changes over time or processes.

9. funnel charts

    

  • Purpose: Display stages in a process and show values for each stage.
  • Benefits:
    • Perfect for analyzing bottlenecks (e.g., sales pipeline).
    • Clearly illustrate conversion rates.
    • Simple and easy to understand.

10. guage charts

  

      

  • Purpose:  Represent progress toward a goal.
  • Benefits:
    • Quickly assess performance against targets.
    • Highly effective for KPI monitoring.
    • Easily interpreted at a glance.

11. CARDS (SINGLE AND MULTI-ROW)

  • Purpose: Highlight key metrics or values as standalone numbers.
  • Benefits:
    • Ideal for showcasing KPIs and summary statistics.
    • Draw immediate attention to critical values. Clean and minimalistic.

12. Slicers

  

        


  • Purpose: Add filters to dashboards and reports for user interactivity.
  • Benefits:
    • Enhance user control and customization.
    • Drill down into specific data subsets.
    • Simplify data exploration.

13. matrix

      

  • Purpose: Display data in a tabular format with multiple dimensions.
  • Benefits:
    • Offers both row and column hierarchy.
    • Ideal for detailed, drillable data views.
    • Combines summary and detailed information effectively.

14. tables

  




          

  • Purpose: Show raw data in rows and columns.
  • Benefits:
    • Provide granular details alongside visualizations.
    • Highly customizable formatting.
    • Useful for audits or detailed reporting.

15. heatmaps

        

  • Purpose: Represent data intensity using color gradients.
  • Benefits:
    • Quickly spot patterns, trends, and anomalies.
    • Effective for large datasets.
    • Combines data density and visual appeal.

16. KPI VISUALS

  

         

  • Purpose: Display key performance indicators with progress indicators.
  • Benefits:
    • Monitor performance against set goals.
    • Highly effective for executive dashboards.
    • Visualizes trends and current status.

17. custom visuals

      

  • Purpose: Allow importing third-party or custom-built visualizations.
  • Benefits:
    • Expand functionality beyond built-in options.
    • Tailored for unique business needs.
    • Add advanced analytics or visual effects.

18. bullet charts

  


  • Purpose: Show progress toward goals with comparative measures.
  • Benefits:
    • Compact and information-dense.
    • Combines performance, target, and context in one view.
    • Ideal for KPI-focused dashboards.

19. ribbon charts

    

  • Purpose: Display ranking changes over time or categories.
  • Benefits:
    • Highlights shifts in category importance.
    • Visually appealing for dynamic ranking analysis.
    • Easy to interpret trends.

20. decomposition tree

  

  

  • Purpose: Break down metrics hierarchically to analyze data drivers.
  • Benefits:
    • Powerful for root-cause analysis.
    • Interactive exploration of data insights.
    • Supports "what-if" analysis.

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