file-toolReviewed 2026-07-02
CSV Data Profiler
Inspect CSV columns, inferred data types, missing values, duplicate rows, and descriptive summaries without uploading the file.
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Browser-side CSV utilities for profiling, cleaning, missing values, duplicates, outliers, normalization, encoding, splitting, correlation, and JSON export.
Data science tools prioritize local browser-side CSV processing so users can profile datasets, analyze missing values, find duplicate rows, detect outliers, clean data, normalize numeric columns, encode categorical columns, calculate correlations, create deterministic train-test splits, and convert CSV to JSON without uploading files to a server.
Published file tool entries in this category.
Inspect CSV columns, inferred data types, missing values, duplicate rows, and descriptive summaries without uploading the file.
Find missing-value counts and percentages by CSV column, then optionally fill values or drop affected rows after explicit review.
Detect exact duplicate rows or duplicate keys in a loaded CSV file without uploading the dataset.
Find potential outliers in selected numeric CSV columns and export detected rows for review.
Scale numeric CSV columns locally and download a normalized CSV after reviewing before-and-after ranges.
Generate a local browser-side correlation matrix for selected numeric columns with missing-value handling options.
Split a loaded CSV into train, validation, and test downloads using a reproducible browser-local shuffle.
Convert selected categorical columns to model-friendly encoded output after explicit local processing.
Apply explicit CSV cleaning options and download a cleaned CSV without uploading the file.
Convert a loaded CSV file to JSON objects, array rows, or JSON Lines and download the result locally.
No. They are intended for education, estimation, and preliminary engineering checks. Critical work must be verified against applicable standards, validated software, and qualified professional judgment.
Routine calculators and converters run in the browser. File tools are designed for local browser-side processing unless a tool explicitly states otherwise.
ScholarTool category pages prioritize calculation context, unit discipline, assumptions, and interpretation so users can understand when a result is appropriate and when validated software or standards are required.
Last reviewed: 2026-07-12