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Calculate value counts, missing data, unique values, and key numeric statistics for each column in your CSV.
Analyze every CSV column and obtain value counts, missing data, unique values, and numeric statistics.
Your data stays on your device and is never sent to our servers.
Clean, structure, and transform your data with rules tailored to the format being processed.
CSV, XLSX, and other tabular formats depending on each tool’s capabilities.
Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.
Fonctionnement
The tool scans all columns, separates empty cells from populated values, and counts distinct entries. When a column contains valid numbers, it also calculates minimum, maximum, and mean values to provide a quick overview of data quality.
Understand the structure and content of an unfamiliar export quickly.
Find incomplete columns or fields with very few distinct values.
Identify numeric columns and their main ranges before deeper work.
Guide
Paste the CSV or provide the information required by the tool.
Choose the columns, rules, or options that match your objective.
Check the report, then copy or download the generated data.
No. Parsing, comparisons, and transformations are executed locally in your browser.
Yes. The CSV engine supports delimiters inside quoted fields and multiline quoted content.
Yes. When a new CSV is produced, it can be copied or downloaded directly from the page.
Learn how tabular data is structured, how CSV, Excel, JSON and TSV differ, and how to choose the right format before cleaning, converting or automating a workflow.
Learn a practical order for removing empty rows, trimming values, standardizing headers, checking identifiers and validating a CSV or Excel dataset.
Learn how to compare two versions of a table using a stable key and distinguish added, removed and modified records.
Discover when to split a large table by row count or by a column value, and how to preserve a useful structure in every output file.
Recommended workflow
Discover tools that naturally fit before, after, or alongside this one.
Remove duplicate CSV rows using the columns you choose as matching criteria.
Split a CSV file into smaller files using the size or groups you choose.
Compare two CSV files to quickly identify rows and values that differ between them.