Data Analysis
Decode a Parquet thrift footer and quantify predicate-pushdown pruning: zone-map min/max, split-block bloom filters (XXH64), dictionary ratios and encodings, with per-row-group prune-savings estimates for example WHERE clauses.
parquet-bloom-filter-zonemap-dictionary-and-column-statistics-pruner-evaluatorData Analysis
Friedman and Iman-Davenport tests with exact p-values, average ranks, the Nemenyi critical difference and the classic CD diagram with cliques — plus an optional Bonferroni-Dunn overlay against a control model.
nemenyi-critical-difference-friedman-rank-plotterData Processing
Extract tables from PDFs with OpenDataLoader and export them as structured JSON, flat CSV, or HTML tables
pdf-table-extractor-to-csv-jsonData Processing
Remove items that match a predicate using lodash _.remove
remove-by-predicateData Analysis
Advanced regression analysis tool for performing linear regression analysis, calculating regression statistics, and making predictions. Perfect for statistical modeling, trend analysis, forecasting, and understanding relationships between variables. Features: - Simple linear regression (y = mx + b) - Multiple linear regression support - Regression coefficients calculation - Statistical significance testing - R-squared and adjusted R-squared - Residual analysis and diagnostics - Prediction intervals and confidence intervals - Outlier detection in regression - Model validation metrics - Visual regression diagnostics - Data transformation support Common Use Cases: - Sales forecasting and trend analysis - Financial modeling and risk assessment - Scientific research and hypothesis testing - Quality control and process optimization - Marketing analytics and ROI analysis - Medical and biological research
regression-analyzerData Processing
Remove specific values from an array using lodash _.pull
pull-valuesData Processing
Scan text/logs for potential PII (Personally Identifiable Information) and annotate positions and types for redaction and compliance checking
pii-finderData Analysis
Detect outliers in numerical data using various statistical methods including IQR, Z-score, and modified Z-score
outlier-detectorData Analysis
Generate interactive pivot tables from CSV/JSON data with customizable row, column, and value field configurations
pivot-table-generatorData Processing
Paste multiple number combinations and find which numbers repeat across the whole set, with occurrence counts and group positions.
number-combination-duplicate-finderData Processing
Get the item at a specific index using lodash _.nth
nth-itemData Analysis
Analyze and count numbers within specified ranges or intervals
number-range-statistics