What JSON frequency analysis is
A count and percentage for every observed field value
Frequency analysis groups equal values within selected JSON fields, counts each occurrence, and calculates its share of present values. UtilityDock keeps JSON types distinct and produces stable ordering without sending data anywhere.
Data quality workflows
Identify duplicates, dominant categories, and rare values
Inspect identifiers, statuses, regions, labels, or flags to see whether one value dominates, duplicates are common, or unexpected outliers deserve closer review.
API inspection
Understand response distributions before integration
Analyze saved API resources to count status values, feature flags, resource types, or error codes. Missing properties and explicit nulls remain separate so response behavior is clear.
Analytics preparation
Profile dimensions before building a report
Review categorical distributions before importing data into a spreadsheet, notebook, or analytics pipeline. The JSON report can be copied or downloaded for later comparison.
Examples
Turn repeated values into useful distribution signals
| Field | Question answered |
|---|---|
$.customers[*].region | Which region appears most often? |
$.events[*].status | What percentage of events succeeded? |
$.items[*].category | Which categories are rare or dominant? |
Inspection utilities
Continue with related UtilityDock inspection workflows
FAQ
Questions about JSON value frequency
Does UtilityDock upload or store my JSON?
No. Your files never leave your computer. Validation, field discovery, frequency analysis, preview, copying, and report creation all happen locally inside your browser.
How are percentages calculated?
Each value count is divided by the number of present values for that field. Missing properties are reported separately and excluded from the distribution denominator.
Does null count as a value?
Yes. Explicit JSON null is a distinct value. A missing property is not a value and is tracked separately.
How are ties ordered?
Frequency tables sort by count from highest to lowest. Values with equal counts retain deterministic first-seen order.
Can this tool change or recommend changes to my data?
No. Version 1 is read-only and provides no charts, automatic recommendations, modification, or APIs.