13 posts tagged with "Studies"

Save and reapply chart configurations across Plot Builder and Correlation analysis. Build up a view by adding chart settings one tab at a time, then share a link to reproduce the exact setup.

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What's included​

Views menu​

Use the Views button in the study toolbar to save, apply, and manage your chart configurations.

Save chart configurations as views​

• Use Save as new view… to create a named view from your current chart configuration
• Saved views are stored per study and can be selected, applied, and deleted at any time
• Applying a view restores your axis selections, colour, symbol, and trellis encodings in Plot Builder, and your column and colour selections across all Correlation tabs

Build up a view across multiple charts​

• Each chart page (Plot Builder, Correlation Matrix, Correlation Ranked, Correlation Pair Plot) contributes its own configuration slot to a view
• Use Save to "[view name]" to add or update the current page's settings into the active view without overwriting the other slots
• Navigate between charts and keep saving to build up a view that spans multiple chart types

Share a view​

• When a view is active, the URL contains a ?view= parameter — copy and share it to let a colleague open the same configuration directly
• Views are study-scoped, so the recipient must have access to the study

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Notes​

• Correlation tab settings (columns, colour) are saved independently per tab type, so Matrix, Ranked, and Pair Plot each have their own slot within a view
• Clearing a view (the × button next to the Views menu) returns each chart to its default state; it does not delete the saved view
• Views currently work for Plot Builder and Correlation only — support for PCA, Survival, and other chart types is coming soon
• This is an incremental update during beta

Catalyst Assist can now answer questions about the data in your study — counts, averages, distributions, and filtered breakdowns — by querying the dataset directly.

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What's included​

• Ask data questions in natural language — "average overlay error by tool?", "how many wafers failed process control?", "distribution of risk score by lot" — and Assist queries your study dataset to answer
• Answers are computed from your actual data, returned as markdown tables, with a brief takeaway drawn from the results
• Date and duration math is supported — group by year, compare timestamps, measure elapsed time between events
• Platform and feature questions still work exactly as before — Assist picks the right mode for each question

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Notes​

• Data answers come only from your dataset — Assist never invents, estimates, or extrapolates figures
• Data questions are available when Assist is opened from within a study
• Data queries run on the study's worker, so it must be provisioned and active; otherwise Assist still answers platform and feature questions but can't query the dataset
• AI responses may not always be accurate. If you receive an unexpected result, let us know with the thumbs up/down on the response, or share it via Support → Contact Support
• This is an incremental update during beta

Create PCA clusters from sigma bands and compare only clusters that contain points.

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What's included​

Create clusters from sigma bands​

• Open the cluster menu in PCA -> Cluster Analysis to create ready-made Inside nσ and Outside nσ clusters without drawing a brush
• Sigma-based clusters automatically assign matching points as soon as the PCA view finishes loading
• The matching sigma contour adopts the cluster color so you can see the selected boundary at a glance

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Compare populated clusters only​

• Cluster comparison menus now show only clusters that currently contain points
• If a selected cluster becomes empty or is removed, the comparison updates to the next valid populated cluster automatically

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Notes​

• Sigma-based clusters are stored with your other PCA cluster selections for that study
• Outside nσ options are available for every displayed sigma band, while Inside nσ options are available for the inner bands
• Empty clusters are excluded from comparison choices until they contain points

Excluded columns are now hidden by default in the Data Health summary, and both the Data Health and Column Settings pages show a consistent "Hide excluded (N)" filter.

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What's included​

Standardized "Exclude" action​

The action previously labeled Drop column in the Data Health table is now labeled Exclude, consistent with the terminology used in Column Settings. Excluded columns (visibility offs) are now hidden by default in the Data Health summary table. A Hide excluded (N) checkbox appears in the toolbar whenever there are excluded columns, allowing you to reveal them when needed.

Consistent filter in Column Settings​

The same Hide excluded (N) checkbox — showing the count of excluded columns — is now displayed in the Column Settings page, matching the behaviour in Data Health.

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Notes​

• Excluded columns are hidden, not deleted — your underlying data remains unchanged
• The count in the checkbox reflects how many columns currently have visibility turned off
• If you notice any unexpected behavior, please share steps to reproduce

Instantly understand any plot with an AI-generated summary — powered by an LLM with vision.

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What's included​

How it works​

• Click the AI Summary button in the Plot Builder toolbar
• A vision-enabled LLM reads the plot statistics and sees the chart, then returns bullet points covering distributions, group breakdowns, data quality issues, and visual patterns like clusters or outliers
• Hit copy to paste the summary into a report or analysis note

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Notes​

• Works with scatter plots, box plots, and heatmaps
• The summary is factual only — the LLM does not assess or make recommendations
• If you notice any unexpected behavior, please share steps to reproduce

Rename and include or exclude columns across your study from Column Management.

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What's included​

Column Management​

You can now manage columns from Edit → Columns.

• Exclude columns to remove them from all views in the study — including plots, statistics, and column groups
• Include columns again at any time to restore them across the study

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Update Column​

• Rename columns to use more meaningful display names across your study
• Changes are applied consistently across all views

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Notes​

• Excluded columns are hidden, not deleted — your underlying data remains unchanged
• Renaming affects display only and does not modify raw data
• If you notice any unexpected behavior, please share steps to reproduce

You can now drop columns directly from the Data Health table. Dropped columns are hidden across all study views and the change is saved automatically.

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What's included​

Drop Column​

Click the drop button on any row in the Data Health table to hide that column across all views in the study — plots, statistics, and column groups included.

Undo​

Changed your mind? Hit the undo button on the same row to bring the column back instantly.

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Notes​

• Dropped columns are hidden, not deleted — your data stays intact
• If you notice any unexpected behavior, please share steps to reproduce

Navigate between historical model evaluations in Feature Importance.

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What's included​

How it works​

• Step through historical model evaluations using the new navigation controls
• The latest evaluation remains the default when no selection is made
• Quickly reapply filters across views for consistent analysis

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Notes​

• If you notice any unexpected behavior, please share steps to reproduce

Split scatter plots and box plots into a multi-panel grid by any categorical column to compare patterns across groups side by side.

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What's included​

How it works​

• Drag a categorical column onto the Trellis drop zone in the plot sidebar
• The plot splits into a grid of panels — one per category
• Works with scatter plots and box plots

• Use the trellis legend to choose which categories to display
• Up to 4 panels can be shown at a time

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Notes​

• Heatmaps do not support trellis
• Trellis behavior may continue to evolve during the beta phase
• If you notice any unexpected behavior, please share steps to reproduce

Studies now supports saving global filters, allowing you to reuse frequently used filter conditions across sessions.

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What’s included​

Global filters with save option in Studies​

• Click Filters to access global filtering actions
• Create new filter conditions using supported operators and values

• New filters can be saved for reuse by providing a filter name

• Applied filters can be edited and updated if they were previously saved
• View and apply saved filters from the Filters menu
• Saved filters can be reused, updated, or removed

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Notes​

• Global filters apply to the current study
• Saved filters are available across sessions
• Filtering behavior may continue to evolve during the beta phase
• If you notice any unexpected behavior, please share the steps to reproduce it