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Analizador de Datos CSV

Perfila, analiza y visualiza tus datos CSV al instante

Try It Now — Free

What is Analizador de Datos CSV?

Upload a CSV file and get instant statistics: row counts, column types, missing value analysis, distribution charts, and outlier detection. Ideal for quick data quality checks before analysis.

Key Features

Automatic column type detection (numeric, string, date, boolean)

Missing value count and percentage per column

Statistical summary: min, max, mean, median, std dev

Distribution histograms for numeric columns

Frequency tables for categorical columns

Outlier detection using IQR method

Correlation matrix for numeric columns

Export profile report as PDF or JSON

How It Works

1

Upload CSV

Drop your CSV file (up to 100 MB, up to 1M rows) onto the tool.

2

Auto-Profile

The profiler automatically detects column types and computes statistics for each column.

3

Explore

Browse the interactive report, click columns to drill into distributions and sample values.

4

Export

Download the full profile report as a structured JSON or formatted PDF.

Who Is This For?

  • →Data scientists doing initial EDA on new datasets
  • →Analysts checking data quality before import
  • →Developers debugging data pipeline outputs
  • →Product managers understanding data distributions

Why Use Analizador de Datos CSV?

Uploading a CSV with customer records, financial data, or research results to an online profiling service is a serious privacy risk. Zeraku's CSV Profiler runs every computation in your browser — your data never leaves your machine. It delivers the kind of instant data quality report that would normally require Python (pandas-profiling) or a BI tool subscription, directly in a browser tab with no setup.

Instant Data Profiling Without Python or BI Tools

pandas-profiling requires Python setup. Tableau and Power BI require licenses and data uploads. Zeraku runs the full profiling report in your browser with no setup and no data leaving your device.

Zerakupandas-profilingTableau Public
No setup required✓Instant in browser✗Python required△App install required
Privacy (no server upload)✓Browser-only✓Local execution✗Cloud upload
Free to use✓Completely free✓Free (OSS)△Limited features
Instant in-browser charts✓✓Jupyter required✓
Missing value detection✓✓△Manual setup

Beginner's Guide

A CSV file is a spreadsheet saved as plain text, commonly used to store lists of data such as sales records, survey responses, or product catalogues. CSV Profiler automatically analyses your file and shows you a summary: how many rows and columns, the data type of each column, missing values, common patterns, and charts for numeric columns. It is useful for quickly understanding a new dataset before working with it in a spreadsheet or database.

Technical Details

CSV parsing is handled by Papa Parse running in a Web Worker, supporting RFC 4180 with extensions for quoted fields, escaped delimiters, and BOM stripping. Column type inference uses a two-pass strategy: the first pass samples up to 1,000 rows to determine candidate types (integer, float, date, boolean, string); the second pass validates against the full dataset. Numeric statistics (mean, median, standard deviation, skewness, kurtosis) use Welford's online algorithm for numerically stable single-pass computation. Histograms use Freedman–Diaconis bin-width selection. Correlation coefficients are computed using the Pearson formula. Charts are rendered with Chart.js 4 on a Canvas element. All processing stays in the browser; no data is uploaded.

Frequently Asked Questions

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