Data Storytelling Made Easy: 5 Essential Data Visualization Widget Types

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Informed decision-making hinges on data. However, raw data is daunting. Data visualization converts raw data into digestible visuals, providing valuable insight while making data comprehension much easier.

This newsletter explores five of the most common data visualization widget types and what scenarios they fit the best.

1. Heatmaps

Ideal for identifying patterns and relationships between two variables. Great for visualizing sales figures across different regions or customer demographics.

For additional information, refer to our documentation.

2. Pivot tables

Perfect for summarizing large datasets and creating multidimensional views. Use them in marketing or finance to analyze revenue and expenses by product or customer segment.

For additional information, refer to our documentation.

3. Indicators (cards and gauges)

Gauges and cards provide quick visual representations of numeric KPIs. Gauges are best for measuring performance against defined thresholds, while cards are ideal for knowing point-in-time values.

To learn more about radial gauges and cards, visit: Radial Gauge Documentation and Card Documentation

4. Grids

Efficient for displaying large amounts of tabular data with rich formatting. They're great for detailed reports in finance, banking, or IT, allowing for sorting, filtering, and grouping for deeper analysis.

For additional information, refer to our documentation.

5. Charts

Charts provide the widest variety of data visualizations for all kinds of data scenarios:

Bar and column charts:

Compare values across categories.

To learn more about bar chart and column chart, visit: Bar Chart Documentation and Column Chart Documentation.

Stacked bar and stacked column charts

Compare multiple measures within categories.

To learn more about stacked bar chart and stacked column chart, visit: Stacked Bar Chart Documentation and Stacked Column Chart Documentation.

Pie and doughnut charts

Show the proportionality of items within a total.

To learn more about pie chart and doughnut chart, visit: Pie Chart Documentation and Doughnut Chart Documentation.

Pyramid charts

Compare related data groups in descending order of importance.

For additional information, refer to our documentation.

Funnel charts

Display values across stages in decreasing order.

For additional information, refer to our documentation.

Line and spline charts

Analyze trends over time.

To learn more about line chart and spline chart, visit: Line Chart Documentation and Spline Area Chart Documentation.

Area and stacked area charts

Compare values with filled curves.

Area?and?stacked area?charts are good for visualizing metrics in all kinds of domains:

?? For a comprehensive guide on visualizing metrics relevant to your specific domain, read our blog ??

Choosing the right widget

The best widget for your data depends on what you want to communicate. Consider:

• The type of data you have (numerical, categorical, etc.).
• The relationships you want to highlight.
• The trends you want to identify.
• Your audience's level of data literacy.

Want to create interactive dashboards with these widgets? We're here to help!

Sign up for a free 15-day trial of Bold BI and start turning your data into insights today!

That's all for now! We'd love to hear from you. Message us your tech questions, thoughts, and stories, and maybe we'll share them in our upcoming newsletters!

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