AugmentedAnalyticsHelper Documentation (VB.NET)

Overview

The AugmentedAnalyticsHelper class provides comprehensive functionality for advanced data analytics with AI integration, including data analysis, predictive modeling, visualization, and insight generation.

Features

• Advanced data analysis with AI
• Predictive modeling
• Data visualization
• Insight generation
• Task status tracking
• Error handling and logging

Installation

NuGet Package Manager

            
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Install-Package AugmentedAnalyticsHelper
        

.NET CLI

            
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dotnet add package AugmentedAnalyticsHelper
        

Usage

Initialize the Helper

            
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Imports Helpers
Imports Microsoft.Extensions.Logging

' Create with optional logger
Dim loggerFactory = LoggerFactory.Create(Sub(builder) builder.AddConsole())
Dim logger = loggerFactory.CreateLogger(Of AugmentedAnalyticsHelper)
Dim analyticsHelper = New AugmentedAnalyticsHelper(logger)
        

Perform Data Analysis

            
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Dim analysisParams = New AnalysisParameters With {
    .Operation = AnalysisOperation.Explore,
    .DataSource = "sales_data.csv",
    .Type = AnalysisType.Predictive,
    .Configuration = New Dictionary(Of String, Object) From {
        {"target", "revenue"},
        {"features", New String() {"season", "promotion", "region"}}
    },
    .EnableAIAugmentation = True,
    .Preprocessing = DataPreprocessing.Advanced
}

Dim analysisResult = Await analyticsHelper.PerformAnalysis(analysisParams)
        

Manage Predictive Models

            
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Dim modelParams = New ModelParameters With {
    .Operation = ModelOperation.Train,
    .ModelId = "model-001",
    .Type = ModelType.TimeSeries,
    .Parameters = New Dictionary(Of String, Object) From {
        {"horizon", 30},
        {"seasonality", "weekly"}
    },
    .Validation = ValidationStrategy.CrossValidation,
    .AutoOptimize = True
}

Dim modelResult = Await analyticsHelper.ManagePredictiveModel(modelParams)
        

Create Visualizations

            
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Dim visualizationParams = New VisualizationParameters With {
    .Type = VisualizationType.Dashboard,
    .Data = New Dictionary(Of String, Object) From {
        {"metrics", New String() {"revenue", "growth"}},
        {"dimensions", New String() {"time", "region"}}
    },
    .Style = New Dictionary(Of String, Object) From {
        {"theme", "modern"},
        {"colors", New String() {"#1f77b4", "#ff7f0e"}}
    },
    .Interactive = True,
    .OutputFormat = "html"
}

Dim visualizationResult = Await analyticsHelper.CreateVisualization("analysis-001", visualizationParams)
        

Generate Insights

            
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Dim insightParams = New InsightParameters With {
    .Type = InsightType.Trends,
    .MaxInsights = 10,
    .Confidence = 0.95,
    .Dimensions = New List(Of String) From {"product", "region"},
    .Metrics = New List(Of String) From {"sales", "margin"}
}

Dim insightResult = Await analyticsHelper.GenerateInsights("analysis-001", insightParams)
        

Get Task Status

            
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Dim status = Await analyticsHelper.GetTaskStatus(taskId)
Console.WriteLine($"Progress: {status.Progress}%")
Console.WriteLine($"State: {status.State}")
        

Error Handling

The helper uses the AnalyticsException class for error handling:

            
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Try
    Dim result = Await analyticsHelper.PerformAnalysis(analysisParams)
Catch ex As AnalyticsException
    logger.LogError($"Analytics operation failed: {ex.Message}")
    ' Handle the error
End Try
        

Best Practices

1. Data Analysis

   • Clean and validate input data
   • Use appropriate analysis types
   • Enable AI augmentation for complex analysis
   • Monitor analysis performance

2. Predictive Modeling

   • Choose appropriate model types
   • Use cross-validation
   • Enable auto-optimization
   • Monitor model performance

3. Visualization

   • Choose appropriate visualization types
   • Make visualizations interactive
   • Use consistent styling
   • Consider user experience

4. Insight Generation

   • Set reasonable confidence levels
   • Focus on relevant metrics
   • Limit number of insights
   • Validate insights quality

Advanced Features

Analysis Operations

            
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Public Enum AnalysisOperation
    Explore
    Transform
    Model
    Validate
    Export
End Enum
        

Model Types

            
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Public Enum ModelType
    Regression
    Classification
    Clustering
    TimeSeries
    Recommendation
End Enum
        

Visualization Types

            
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Public Enum VisualizationType
    Chart
    Graph
    Map
    Dashboard
    Report
End Enum
        

API Reference

Classes

• AugmentedAnalyticsHelper: Main helper class
• AnalyticsTask: Task tracking container
• AnalyticsException: Custom exception class

Key Methods

• PerformAnalysis: Handle data analysis
• ManagePredictiveModel: Control predictive models
• CreateVisualization: Create data visualizations
• GenerateInsights: Generate data insights
• GetTaskStatus: Get operation status

Version History

• 1.0.0: Initial release
• 1.1.0: Added AI augmentation
• 1.2.0: Enhanced visualizations
• 1.3.0: Added automated insights

License

MIT License - See LICENSE file for details