Data Processing

Split CSV content by specified number of rows per file. Perfect for processing large datasets, dividing data for analysis, batch processing, and managing file size limits. Features: - Split CSV by row count - Support multiple output formats - Preserve header row in each split - Flexible output format options - Support for large datasets - Fast and efficient processing Common Use Cases: - Split large CSV files for processing - Divide data for parallel processing - Create manageable data chunks - Export data in different formats - Prepare data for batch operations - Manage file size limitations

Data Processing

Calculate the coefficient of variation (CV) for numerical columns to measure relative variability

Data Analysis

Calculate confidence intervals for population means using Z or T distributions

Data Processing

Flatten multidimensional arrays into one-dimensional arrays with customizable depth

Data Processing

Comprehensive array analysis tool with statistics, data types, and frequency analysis

Data Processing

Remove duplicate elements from arrays with various deduplication methods

Data Processing

Extract elements of specific types from arrays (numbers, strings, booleans, objects, etc.)

Data Processing

Filter out elements of specific types from arrays (remove numbers, strings, booleans, etc.)

Data Processing

Generate various types of arrays including numeric sequences, random arrays, test data, and date sequences

Data Processing

Perform set operations (intersection, union, difference) on two arrays

Data Processing

Sort arrays with various sorting methods and maintain original input format

Data Analysis

Perform one-way Analysis of Variance (ANOVA) to compare means across multiple groups