Data Processing

Filter CSV data by column values with multiple conditions and operators. Supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks. Additional Filters examples: [{"column": "age", "operator": "greater_than", "value": "25"}] [{"column": "status", "operator": "equals", "value": "active"}, {"column": "score", "operator": "greater_equal", "value": "80"}] [{"column": "name", "operator": "contains", "value": "john"}, {"column": "email", "operator": "is_not_empty"}]

Data Processing

Iterate over own object properties using lodash _.forOwn

Data Processing

Iterate over object properties using lodash _.forIn

Data Processing

Convert array of key-value pairs to object using lodash _.fromPairs

Data Analysis

Generate frequency distribution tables for data with support for numeric grouping, custom ranges, percentage statistics, and more. Perfect for data analysis, statistical reports, and data visualization preparation.

Data Processing

Evaluate bounded Excel-style formulas against JSON cell values and explain results, references, and spreadsheet errors.

Data Processing

Find the first matching key using lodash _.findKey

Data Processing

Flatten array one level deep using lodash _.flatten

Data Processing

Flatten array completely using lodash _.flattenDeep

Data Processing

Flatten array to specified depth using lodash _.flattenDepth

Data Processing

Fill array with value from start to end index using lodash _.fill

Data Processing

Flatten nested JSON objects into key-value pairs with customizable delimiters and flattening strategies