Identify and Define Golden Batch

Single guided flow Start with visualization, carry your selection forward, then review and lock without switching pages.
Upstream results are stale.
Schema Mapping

Assign semantic roles once; downstream calculations use this shared mapping.

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Column5 sample valuesUnitRole
Load a dataset first to visualize batches or upload an ideal batch.
Workflow tip: visualize Y first, select/preview batches, then lock. Locked batches are used as the golden reference for downstream PCA simulation.
Remaining: 0
1. Choose Y and Visualize
Each click/lasso replaces the previous plot selection
Numeric Y options: 0 Current Y: -
Example: Penicillin concentration (P:g/L)
Quick workflow
1.Choose the Y variable that best reflects output quality or stability.
2.Visualize all batch trajectories to spot stable, tight, or high-performing runs.
3.Click or lasso promising batches, then preview them before locking.
Step 1
Visualize batch trajectories

Choose a Y variable and click Visualize Batch-wise to compare all batches over time.

Click a line or lasso multiple batches to make a new selection, then preview it.
Selected: 0
Ideal Batch Similarity Matrix
Similarity values for each batch and measurement
Upload an ideal batch to compare it with the active batches.
Similarity-Based Batch Visualization
Compare all matching batches with the Ideal Batch
Quick category presets
    Choose a category and common Y variable.
    Select a Y variable to display batch trajectories.
    Click a curve or batch name, or drag a lasso to select batches. Each new selection replaces the previous selection.
    Selected: 0
    2. Select Best Performing Batches
    Manual list or automatic by Y range
    Visualize a Y variable to unlock selection modes.
    Use plot selection or choose from the list below. Check boxes for multi-select. 0 batches selected
    Filter batches by the final recorded Y value to build a first-pass shortlist. Using Y = -
    3. Look the Trajectory and lock Golden Batches
    Finalize selection and continue
    4. X-Variable Check
    Verify the same golden batches across other input variables
    Select an X variable to plot it for the currently previewed golden batches.
    Selected Best Performing Batches
    Use Add Batch to include more batches. Click the x on any selected batch chip to remove it.
    Selected: 0
    What this means
    These batches define your Golden Batch baseline. Statistics and similarity analysis are built from this set.
    How to update
    Use Add Batch to include more, click x on chip to remove, then lock again to save the latest baseline.