Data Quality Visualizer
Check CSV data for missing values, duplicate rows and unusual numbers. Explore charts and download a column report.
How can I see missing values and outliers in a CSV?
Load a CSV and specify which text tokens count as missing. The report plots missing percentages and a row-by-column missingness pattern, and calculates column statistics and Tukey 1.5-IQR outlier counts. Select a numeric column to inspect its distribution.
Your data, clearly.
On your deviceLimits: 500,000 characters, 10,000 rows, 50 columns and 20 series. Processing and charts stay on your device.
A little data. A clearer picture.
Choose your data and settings, then draw the chart to explore the details.
Three simple steps
How to use Data Quality Visualizer
Paste or open a dataset, then map the relevant columns.
Draw the chart, inspect the warnings, and zoom into the details.
Download an SVG or PNG image, the report, or a reusable project.
Common questions
Good to know
Understand the result.
Keep the original.
Is this tool free, and are my files uploaded?
This tool is free with no account required. The work happens in your browser. Your input and files are not sent to a processing server.
What are the limits and details?
Summary statistics cover every row; the missingness pattern displays the first 500. Quartiles use linear interpolation. IQR flags identify unusual numeric values rather than errors, and duplicated rows are compared after trimming surrounding whitespace.
Limits: 500,000 characters, 10,000 rows, 50 columns and 20 series. Processing and charts stay on your device.