Column Statistics Analyzer Online

Delimiterdetected: ","

Columns

Detailrange, variance, IQR, CV, skew, P90/P95

Input CSVCSV

Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.

What is Column Statistics?

Column Statistics Analyzer is a free, browser-based tool that helps you understand a dataset at a glance. Min/max/mean/median/stddev/quartiles for every numeric column. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.

How to use Column Statistics

1Paste your data or drop a file (CSV or JSON).
2Read the generated summary — types, counts, distributions, and any issues found.
3Export the report, or send the data to another tool to act on the findings.

Features

Per-column types, nulls, uniques, and stats
Spot data-quality issues fast
100% client-side — no upload, fully private
Free with no account, no watermark, and no daily limit
Works on large inputs, limited only by your device's memory
Load a sample, then copy, download, or share your result

Common uses

Profiling an unfamiliar dataset before analysis
Quick one-off analyzer jobs without opening a heavy app
Preparing data before importing it elsewhere
Sharing a reproducible result with a teammate via a link

Used by

Data analysts
Researchers
Business analysts
Students
Analysts

Examples

Example 1

Example dataset

customer_id,email,revenue
1001,ava@example.com,89
1002,,249
1003,lee@example.com,129

Example insight

Rows: 3, columns: 3, missing email values: 1, numeric revenue column detected, no duplicate rows.

Example 2

Small dataset

A CSV or structured payload with a few rows

Quick summary

Row count, column count, detected types, and obvious issues.

Example 3

Dataset with missing values

Rows where one or more fields are blank

Completeness report

Missing counts and percentages show where review is needed.

Example 4

Dataset with numeric columns

Sales, revenue, score, duration, or other numeric fields

Numeric profile

Min, max, averages, spread, or outlier indicators where supported.

Example 5

Unknown export

A file from a system you have not inspected yet

First-pass diagnosis

The result helps decide whether to clean, validate, convert, or visualize next.

Common errors

A summary is treated as proof that the dataset is clean.
Outliers are removed automatically without checking whether they are real events.
Column types are trusted without reviewing mixed or sparse fields.
Duplicate or missing-value issues are ignored before visualization.

How it works

1Profiles the data input.
2Computes counts, inferred types, summaries, and warnings where supported.
3Turns findings into a practical next step.

Recommended workflow

1
Prepare the input
Profile the data first so missing values, types, duplicates, and outliers are visible before you edit it.
2
Run Column Statistics
Review the preview, copy or download the result, and keep everything local in your browser.
3
Next recommended tool
Frequency Distribution: Value-count tables for categorical columns.
Open tool
4
Then continue with
CSV Column Analyzer: Per-column types, ranges, uniques, nulls.
Open tool
5
Then continue with
Auto Schema Detector: Infer a schema (types, nullability, uniqueness) from any sample dataset.
Open tool

Frequently asked questions

How do I use Column Statistics?: Paste or drop your data into the workspace, adjust the options to fit your data, then copy or download the result. Min/max/mean/median/stddev/quartiles for every numeric column.
Is my data uploaded or stored anywhere?: No. Everything runs locally in your browser — your data is never uploaded to a server. Nothing is sent to a server, so it's safe to use with private or sensitive data.
Is Column Statistics Analyzer free?: Yes — it's completely free with no account, no sign-up, no watermark, and no daily usage limits.
What's the maximum file size?: There's no hard limit imposed by the tool. Because processing happens in your browser, the practical ceiling is your device's available memory — most everyday files work instantly.
Do I need to install anything?: No installs and no extensions — it runs entirely in your web browser and even works offline once the page has loaded.

What is Column Statistics?

Examples

Example 1

Example dataset

customer_id,email,revenue
1001,ava@example.com,89
1002,,249
1003,lee@example.com,129

Example insight

Rows: 3, columns: 3, missing email values: 1, numeric revenue column detected, no duplicate rows.

Example 2

Small dataset

A CSV or structured payload with a few rows

Quick summary

Row count, column count, detected types, and obvious issues.

Example 3

Dataset with missing values

Rows where one or more fields are blank

Completeness report

Missing counts and percentages show where review is needed.

Example 4

Dataset with numeric columns

Sales, revenue, score, duration, or other numeric fields

Numeric profile

Min, max, averages, spread, or outlier indicators where supported.

Example 5

Unknown export

A file from a system you have not inspected yet

First-pass diagnosis

The result helps decide whether to clean, validate, convert, or visualize next.

Recommended workflow

Prepare the input

Profile the data first so missing values, types, duplicates, and outliers are visible before you edit it.

Run Column Statistics

Review the preview, copy or download the result, and keep everything local in your browser.

Next recommended tool

Frequency Distribution: Value-count tables for categorical columns.

Open tool

Then continue with

CSV Column Analyzer: Per-column types, ranges, uniques, nulls.

Open tool

Then continue with

Auto Schema Detector: Infer a schema (types, nullability, uniqueness) from any sample dataset.

Open tool

Frequently asked questions

How do I use Column Statistics?

Paste or drop your data into the workspace, adjust the options to fit your data, then copy or download the result. Min/max/mean/median/stddev/quartiles for every numeric column.

Is my data uploaded or stored anywhere?

No. Everything runs locally in your browser — your data is never uploaded to a server. Nothing is sent to a server, so it's safe to use with private or sensitive data.

Is Column Statistics Analyzer free?

Yes — it's completely free with no account, no sign-up, no watermark, and no daily usage limits.

What's the maximum file size?

There's no hard limit imposed by the tool. Because processing happens in your browser, the practical ceiling is your device's available memory — most everyday files work instantly.

Do I need to install anything?

No installs and no extensions — it runs entirely in your web browser and even works offline once the page has loaded.