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Material Property Analytics

The Material Property Analytics feature provides analytics and insights about material properties, trends, and anomalies across the database.

Features​

Property Distribution Analysis​

  • Distribution Visualization: View the distribution of property values across materials
  • Statistical Analysis: Calculate key statistics like mean, median, mode, and standard deviation
  • Filtering by Material Type: Filter distributions by material type
  • Multiple Chart Types: View distributions as bar charts or pie charts
  • Percentage Analysis: See the percentage of materials with each property value

Property Trend Analysis​

  • Time-Based Trends: Track how property values change over time
  • Multiple Time Units: View trends by day, week, month, or year
  • Count Tracking: Monitor the number of materials with specific properties over time
  • Multiple Chart Types: View trends as line charts or area charts
  • Customizable Time Ranges: Focus on specific time periods

Property Correlation Analysis​

  • Correlation Visualization: See how different properties relate to each other
  • Correlation Coefficient: Calculate the statistical correlation between properties
  • Scatter Plots: Visualize relationships between numeric properties
  • Correlation Strength: Interpret the strength and direction of correlations
  • Material Type Filtering: Focus on correlations within specific material types

Property Anomaly Detection​

  • Outlier Identification: Find materials with unusual property values
  • Z-Score Analysis: Use statistical methods to identify anomalies
  • Adjustable Thresholds: Set the sensitivity of anomaly detection
  • Detailed Explanations: Understand why a material is considered an anomaly
  • Direct Material Access: Quickly navigate to anomalous materials for inspection

Technical Implementation​

Backend​

  • Analytics Service: Handles property analytics calculations
  • Statistical Algorithms: Implements algorithms for distribution, trends, correlation, and anomaly detection
  • API Endpoints: Provides endpoints for accessing analytics data
  • Caching: Optimizes performance for frequently accessed analytics

Frontend​

  • Interactive Dashboard: Provides a comprehensive view of property analytics
  • Visualization Components: Implements charts and graphs for data visualization
  • Filtering Controls: Allows users to filter and customize analytics views
  • Responsive Design: Ensures analytics are accessible on all devices
  • Export Capabilities: Enables exporting of analytics data and visualizations

Usage​

Viewing Property Distributions​

  1. Navigate to the Material Property Analytics dashboard
  2. Select the "Distribution" tab
  3. Choose a property to analyze
  4. Optionally filter by material type
  5. View the distribution chart and statistics
  6. Switch between bar chart and pie chart views
  1. Navigate to the Material Property Analytics dashboard
  2. Select the "Trends" tab
  3. Choose a property to analyze
  4. Select a time unit (day, week, month, year)
  5. Optionally filter by material type
  6. View the trend chart
  7. Switch between line chart and area chart views

Exploring Property Correlations​

  1. Navigate to the Material Property Analytics dashboard
  2. Select the "Correlation" tab
  3. Choose two properties to correlate
  4. Optionally filter by material type
  5. View the scatter plot and correlation statistics
  6. Interpret the correlation strength and direction

Detecting Property Anomalies​

  1. Navigate to the Material Property Analytics dashboard
  2. Select the "Anomalies" tab
  3. Choose a property to analyze
  4. Adjust the Z-score threshold as needed
  5. Optionally filter by material type
  6. View the list of anomalous materials
  7. Click on a material to inspect it in detail

Benefits​

  • Data-Driven Insights: Gain insights into material property trends and patterns
  • Quality Control: Identify unusual materials that may have data quality issues
  • Market Analysis: Understand trends in material properties over time
  • Property Relationships: Discover correlations between different material properties
  • Decision Support: Make informed decisions based on property analytics
  • Anomaly Detection: Quickly identify outliers that may require attention