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Field Explorer
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Overview
Field Explorer is a centralized directory designed to simplify the discovery of all available fields within a specific workspace. It provides a comprehensive view of field metadata—including formulas, data types, and associated machines—empowering users to make informed decisions when constructing KPI formulas, building Runtime Fields, or selecting parameters for analysis. It serves as the primary technical reference for understanding the "what" and "where" of your data foundation.
Accessing Field Explorer
Navigate via URL: Field Explorer is accessed directly through a specific URL path. In your browser's address bar, append #/field-explorer to your environment’s base URL.
Format:
https://<environment-name>.sightmachine.io/#/field-explorer
Exploring Fields in the Environment
The Field Explorer interface is designed for high-speed searching and deep metadata inspection. At the top right of the screen, you can see a real-time Field Count indicating the total number of fields available versus the number currently being viewed based on your active filters.
To Search and Filter Fields:
Use the attribute headers at the top of the table to narrow down your results. You can search or filter by:
Identity: Search by Display Name (UI label) or the technical Field Name.
Data Characteristics: Filter by Field Type (Continuous/Categorical), Unit of measure, or Data Type (Float, Integer, String).
Asset Context: Filter by Machine Type or specific Machines to see which parameters are mapped to which equipment.
Technical Metadata: View the Raw Field Name (as it appears in the source) or the Formula used for calculated fields.
Visibility & Status: Identify System Fields (platform-generated) or UI Hidden fields (fields not visible in standard app menus).
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Exploring Specific Data Values:
For Categorical Fields: Click the Table Icon in the leftmost column. This opens a view showing the specific values contained within that field over a selected time period (e.g., seeing all unique "Error Codes" generated by a machine).
For Quick Visualization: Click the Graph Icon to generate an instant preview of the data trend without leaving the page.
For Deep Analysis: Click the "Go to Datavis" icon at the top right to export the selected field directly into the Data Visualization application for advanced charting.
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Explore Categorical Values
For categorical fields, you can explore what values that specific field contains within a specific period of time by clicking the table icon on the first column
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Visualize Data from Field Explorer
Directly visualize your data within Field Explorer by clicking the graph icon in the leftmost column for a quick preview, or select the "Go to Datavis" icon at the top right to open the Data Visualization application in Factory ANALYZE with your selected field already pre-loaded.
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Filter data by model
In the Field Explorer, you can now filter data fields by selecting a Data Model from the supported options: Cycles, Downtimes, Defects, Parts / Lots, or Raw Data.
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Feature Benefits
Unified Metadata Search: Provides a powerful search and filter interface to locate fields based on attributes like Display Name, Raw Field Name, and associated Machine Types.
Formula & System Visibility: Displays the underlying logic for calculated fields (Formula) and identifies System Fields or UI Hidden fields that may not appear in standard application pickers.
Direct Data Visualization: Enables immediate data validation by allowing users to launch a Timeseries chart or jump directly to the Data Visualization application with the selected field pre-loaded.
Categorical Value Exploration: Allows users to inspect the specific values contained within a categorical field (e.g., "Shift Name" or "Status") for a selected time period without leaving the explorer.
Model-Based Filtering: Streamlines discovery by filtering fields according to their Data Model, supporting Cycles, Downtimes, Defects, Parts/Lots, and Raw Data.
Summary
Field Explorer serves as the "Search Engine" for your factory data, providing transparency into every parameter available in your workspace. By navigating to the #/field-explorer page, users can quickly identify field attributes, audit formulas, and visualize data trends.
Whether you are a developer looking for a Raw Field Name to use in a script or an analyst verifying Categorical Values for a new report, Field Explorer ensures you have the context needed to build accurate and reliable visualizations across the Sight Machine platform.