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Analytical Scatter Plot

The Analytical Scatter Plot widget provides a visualization of the relationship between two variables (metrics) by plotting individual data points along two axes. This widget is ideal for identifying correlations, patterns, and outliers in your data.

Key Features

  • Dual Metrics Selection: Choose two metrics (X and Y) to analyze relationships or dependencies.
  • Aggregation Options: Define the aggregation type for each metric (e.g., average, sum, count).
  • Granularity Control: Set the granularity for data points to determine how detailed the scatter plot should be.
  • Customizable Plots: Add multiple plots to compare different metric combinations within a single widget.

Use Cases

  • Correlation Analysis: Visualize relationships between two metrics, such as production speed vs. defect rate.
  • Outlier Detection: Identify data points that deviate significantly from expected trends.
  • Comparative Analysis: Compare data from different organizational units or time ranges for deeper insights.

Step-by-Step Guide to Set Up the Analytical Scatter Plot

  1. Navigate to Dashboards.
  2. Click on the pencil icon in the top-right corner.
  3. Click on the Add Widget icon.
  4. Select Analytical Scatter Plot and click Next.
  5. Fill out the following fields for the first plot:
    • Metric X: Select the metric for the X-axis (e.g., temperature, revenue).
    • Aggregation Type X: Choose the aggregation type for the X-axis metric (e.g., average, sum).
    • Metric Y: Select the metric for the Y-axis (e.g., production rate, costs).
    • Aggregation Type Y: Choose the aggregation type for the Y-axis metric.
    • Organizational Unit: Select the relevant organizational unit for the data (optional).
  6. (Optional) Add additional plots:
    • Click Add Plot and configure another set of metrics and aggregation types.
  7. Enter the following details:
    • Widget Name: Provide a descriptive name for the widget (e.g., "Performance Correlation").
    • Time Range: Specify the time range for the analysis (e.g., "Last 7 Days").
    • Granularity: Set the granularity for the data points (e.g., hour, day, week).
  8. Click Submit to finalize the widget setup.
  9. Click Save to apply the widget to your dashboard.

Your Analytical Scatter Plot is now ready, enabling you to explore relationships and patterns between two metrics visually, with options for multiple plots and granular control.