.NET 10 Blazorのニュース

Masked Input Text Box editors are input components that enforce a predefined format while users type, ensuring that entered values follow a specific structure such as phone numbers, dates, postal codes, or identification numbers. By applying an input mask, the editor guides users to enter characters only in valid positions and formats, reducing the likelihood of invalid or incomplete data being submitted. This approach improves data consistency across applications, simplifies validation logic on both the client and server side, and reduces the need for additional parsing or correction of user input. For developers building data-driven Blazor applications, masked input editors help maintain reliable data entry while providing a clear and structured input experience directly within forms and data editing interfaces.

Many .NET Blazor data editor collections contain masked input text box editors including:

• Telerik UI Blazor Data Editors (part of Telerik UI for Blazor) lets you enforce formatted user input with masked text boxes, ensuring consistent data entry for structured values.
• ComponentOne Blazor Data Editors (part of ComponentOne Studio Blazor Edition by MESCIUS) allows you to apply input masks that guide users, improving validation accuracy.
• Smart UI by Smart HTML Elements, facilitates structured data entry with masked input editors that restrict characters and enforce predefined formats during typing.
• Infragistics Ignite UI for Blazor Data Editors (part of Infragistics Ignite UI) lets you implement masked input fields that ensure users enter values following required patterns.

For an in-depth analysis of features and price, visit our comparison of .NET Blazor data editors.

Compare .NET Blazor Data Editors

Standard chart types form the foundation of most charting components, providing widely recognized visual formats for representing numerical and categorical data. These charts help developers present trends, comparisons, distributions, and relationships in ways that are immediately understandable to end users. Because these visualizations are familiar across industries, they are commonly included as built-in options in charting libraries and dashboards, allowing applications to communicate insights clearly while supporting interactive features such as tooltips, legends, and dynamic data updates.

Common chart types include:

• Area charts display quantitative trends over time while emphasizing cumulative values through filled regions beneath a line.
• Column & Bar charts compare values across categories using vertical or horizontal bars, making them suitable for ranking and side-by-side comparisons.
• Funnel charts represent sequential stages in a process, typically used to visualize conversion rates or drop-off between steps.
• Line charts illustrate continuous data trends across time or ordered categories using connected data points.
• Pie charts show proportional relationships within a whole by dividing a circle into segments representing percentage contributions.
• Radar & Polar charts plot multiple variables on circular axes, enabling comparison of multivariate data across several dimensions.
• Scatter & Bubble charts visualize relationships between variables by plotting points across two axes, with bubble variations adding a third value through marker size.

For an in-depth analysis of features and price, visit our Blazor charts components comparison.

Explore Blazor Standard Charts