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Free CSV Statistics Tool

Runs entirely in your browser - no upload, no sign-up.

Live workspaceLocal processing

CSV source

Paste data or open a CSV, TSV, or text file.

or drop a file here
5 MB and 50,000 analyzed rows max

Dataset profile

Select a column to inspect its distribution and descriptive statistics.

Your statistics will appear herePaste CSV, upload a file, or load the example to profile every column.
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csv statistics / browser utility
01 / Overview

What does a CSV statistics tool calculate?

A CSV statistics tool profiles each column in a comma-separated dataset. It counts filled, missing and unique values, detects common data types, finds frequent values and calculates numeric measures such as mean, median, quartiles and sample standard deviation. This tool does that locally, without uploading your rows.

02

How to use

  1. 01
    Add the CSV

    Paste CSV or TSV text, choose a local file, drag one into the source panel, or load the sample dataset.

  2. 02
    Confirm parsing options

    Leave delimiter detection on automatic or choose a separator, indicate whether the first row is a header, and edit the comma-separated missing markers if needed.

  3. 03
    Analyze the dataset

    Select Analyze CSV, review the row, column, numeric, missing and duplicate totals, then choose any column for its detailed profile.

  4. 04
    Save the report

    Download one CSV row per source column with type, completeness, cardinality, numeric statistics and the most common value.

03

Who it's for

  • Data analysts checking an export for missing values, duplicates and suspicious distributions before starting exploratory analysis.
  • Developers validating CSV fixtures and import files without writing a one-off script or exposing production-like data.
  • Operations teams reviewing customer, inventory or finance exports before loading them into another system.
  • Researchers getting a quick view of numeric ranges, quartiles and categorical frequencies in a local dataset.

Paste CSV text or choose a CSV or TSV file. The profiler follows quoted-field rules, so delimiters and line breaks inside double quotes stay in one cell. You can override delimiter detection and define markers such as NA, N/A or null as missing values.

The dataset summary highlights duplicate rows and inconsistent field counts before you inspect individual columns. Numeric columns receive a compact distribution, while text, date, boolean, mixed and empty columns still show missingness, cardinality and the five most common values. Download the full column report when you need a record of the check.

FAQ

Is my CSV file uploaded?

No. The browser reads the file and calculates every dataset and column statistic on your device. Your raw rows are not sent to a conversion or analysis service. As with any website, avoid opening sensitive data on a browser or device managed by someone you do not trust.

Is the CSV statistics tool free?

Yes. You can paste or open data, adjust the delimiter and missing-value markers, inspect every column, and download the statistics report without payment or an account. The tool has a clear file and row limit so analysis remains responsive in an ordinary browser tab.

How large a CSV file can I analyze?

The tool accepts up to 5 MB of CSV or TSV text and profiles the first 50,000 data rows. It still reports the full parsed row count and marks a truncated analysis. For larger datasets, use a streaming profiler, database engine or desktop data-analysis package.

Which CSV summary statistics are included?

Every column shows filled, missing and unique counts plus its five most common values. Fully numeric columns also show sum, mean, median, minimum, maximum, 25th percentile, 75th percentile and sample standard deviation. Dataset totals include rows, columns, numeric columns, missing cells and duplicate rows.

How are missing values detected?

Blank cells always count as missing. The editable marker list also treats values such as NA, N/A, null, none and undefined as missing without regard to letter case. Remove a marker if that exact text is a legitimate category in your dataset; spaces around a marker are ignored.

Does it handle quoted commas and line breaks?

Yes. Double-quoted cells can contain the selected delimiter and line breaks, and two quote characters inside a quoted cell become one literal quote. An unclosed quote or invalid text after a closing quote produces a specific error while keeping the source available for correction.

How does the tool identify numeric columns?

A column is numeric only when every filled value has a finite, lossless numeric form. A mix of numbers and other text is labeled mixed instead of silently dropping the text values. Integers beyond JavaScript's safe range and identifiers with leading zeros remain non-numeric.

What is the difference between sample and population standard deviation?

Sample standard deviation divides the squared deviations by n - 1 and estimates variability in a larger population from observed rows. Population standard deviation divides by n and describes the complete population. This report uses the sample version and leaves it unavailable when a numeric column has only one filled value.