How to Visualize Missing Web Traffic Data Using AI in .NET MAUI Chart

Описание: Learn how to integrate an AI service into the Syncfusion® .NET MAUI Cartesian Chart control to visualize missing and abnormal website traffic data.

Charts help you understand data better, but only work well if the data is accurate and reliable. Raw data, especially web traffic, can often be messy, with missing values, random spikes, or unusual patterns that affect accuracy. That’s why it’s essential to clean data before visualizing it.

The .NET MAUI Charts control is built to handle large amounts of data efficiently and supports fast, real-time updates. It also offers options for dealing with missing values, such as leaving gaps, linking nearby points, or filling in estimated values based on surrounding data, to ensure smooth and accurate visualizations.

The .NET MAUI Cartesian Chart is now part of the Syncfusion Toolkit's open-source offerings and provides developers with a powerful and free solution for building interactive and compelling data visualizations. By leveraging open-source .NET MAUI controls, you can enhance your applications at no additional cost while benefiting from a growing community and continuous improvements.

In .NET MAUI Cartesian Charts, the legend serves as a vital visual tool that connects data series with their corresponding labels, helping users identify chart elements. It can be customized in various ways, including adjustment of its position; styling options such as font size, color, and background; as well as alignment.

Interactive features allow users to toggle the visibility of data series in the legend. This level of customization ensures that the chart is not only visually appealing but also functional, improving the user experience by making data exploration more intuitive.

In a .NET MAUI Cartesian Charts, you can rotate all series to display data vertically, providing a different perspective. Legends in the chart offer additional information to identify individual data points. To enhance readability, you can annotate data points with labels and further improve clarity by adding markers or customizable symbols. The dynamically updated data points are smoothly rendered with animation, ensuring a visually appealing chart.

Data labels typically display the value of each data point, making it easier to understand the exact values without having to refer to the axes or gridlines. Tooltips are interactive elements that appear when the user taps or hovers over a data point, providing detailed information about that data point.

Auto scrolling in a .NET MAUI Cartesian Charts ensures that a designated data point range remains continuously visible on the chart, while the rest of the data points can be accessed by scrolling. Additionally, you can utilize the trackball feature to access information about the data point closest to the touch contact point in the chart.

Tutorial Video: https://www.syncfusion.com/tutorial-v...

Example project: https://github.com/SyncfusionExamples...

Watch this video to learn how to get started with the .NET MAUI Cartesian Charts control:
   • Getting Started with the .NET MAUI Cartesi...  

TRIAL LICENSE KEY
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If you need a trial license key, start your .NET MAUI trial from the Syncfusion account and obtain a trial license key from the downloads page. https://www.syncfusion.com/downloads/...

Check your eligibility for a free license for all Essential Studio products on our Community License page:  https://www.syncfusion.com/products/c...

BOOKMARK DETAILS
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[00:00] .NET MAUI Charts - Introduction
[00:50] Integrate the AI service into the application
[05:29] Integrate the Busy Indicator control

.NET MAUI Cartesian Charts
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Product overview: https://www.syncfusion.com/maui-contr...
Documentation: https://help.syncfusion.com/maui/cart...
Download free trial: https://www.syncfusion.com/downloads/...
NuGet package: https://www.nuget.org/packages/Syncfu...

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#maui #chart #ai #datavisualization