What is the difference between clipping and replacing?

Clipping restricts values to the defined boundary (e.g., any value above 100 becomes 100), while replacing substitutes the violation with a calculated value like the mean, median, or interpolated value.

Can I process multiple columns at once?

Yes, you can specify multiple target columns in the configuration, or leave the field empty to have the tool automatically detect and process all numeric columns.

How does the Asymmetric Mode work?

Asymmetric Mode allows you to apply different handling strategies or boundary thresholds independently for the minimum and maximum limits.

What does the 'Mark Boundary Values' option do?

It adds new columns to your output that act as flags, clearly indicating which rows contained values that triggered a boundary violation.

Is my original data preserved?

You can enable the 'Preserve Original Columns' option to keep your source data intact while creating new processed columns alongside them.

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Data Processing

Data Boundary Processor

Advanced boundary value processing tool that identifies and handles minimum/maximum values in numerical data. Perfect for data validation, range checking, statistical analysis, and data preprocessing. Features: - Multiple boundary detection methods (absolute, percentile, standard deviation) - Flexible handling strategies (clip, remove, replace, transform) - Custom range validation - Asymmetric boundary handling - Batch processing capabilities - Comprehensive boundary statistics - Data quality assessment - Visual boundary reports Common Use Cases: - Data validation and quality control - Sensor data range checking - Financial data limit enforcement - Statistical data preprocessing - Machine learning feature engineering - Database constraint validation

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17 options

ContentPaste or type the main input values.2

CSV DatatextareaRequiredTarget Columns (Optional)textareaOptional

SettingsAdjust formats, ranges, numbers, and modes.10

Lower Bound MethodselectOptionalUpper Bound MethodselectOptionalMinimum ValuenumberOptionalFixed minimum value (used when minMethod is absolute)Maximum ValuenumberOptionalFixed maximum value (used when maxMethod is absolute)Lower PercentilenumberOptionalLower percentile for boundary detection (0-50)Upper PercentilenumberOptionalUpper percentile for boundary detection (50-100)Lower Standard DeviationsnumberOptionalStandard deviations below mean for lower boundUpper Standard DeviationsnumberOptionalStandard deviations above mean for upper boundHandling StrategyselectOptionalReplacement MethodselectOptional

TogglesEnable or disable optional behavior.5

Asymmetric ModecheckboxOptionalEnabled when checkedApply different strategies for min/max boundariesPreserve Original ColumnscheckboxOptionalEnabled when checkedMark Boundary ValuescheckboxOptionalEnabled when checkedAdd columns to flag boundary violationsInclude StatisticscheckboxOptionalEnabled when checkedStrict ModecheckboxOptionalEnabled when checkedTreat boundary values as errors in strict mode

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Data Boundary Processor

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1. Cleaning Sensor Temperature Data

2. Removing Outliers from Salary Data

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