CSV Descriptive Statistics
Summary statistics for every column in a CSV file: N, missing, mean, SD and more.
Summary statistics
A column counts as numeric when at least 80% of its non-missing values are numbers. Blank cells and NA, N/A, NaN, null, none, "." and "-" are treated as missing. SD is the sample standard deviation and quartiles use linear interpolation (Excel QUARTILE.INC).
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Clear instructions
Find steps, examples and limitations below.
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How to use the CSV Descriptive Statistics
Summary statistics for every column in a CSV file: N, missing, mean, SD and more.
- 1 Upload a CSV or TSV file, or paste data copied from Excel.
- 2 Say whether the first row holds the column names.
- 3 Read the summary table and download it as CSV.
Example and practical tips
For a 16-row clinical dataset, the glucose column shows 15 values, 1 missing, mean 126.4 and a median of 102, a gap that hints at an outlier.
Frequently asked questions
Is my data uploaded to a server?
No. The file is read and summarized entirely in your browser.
How are text columns handled?
Columns that are mostly non-numeric are listed separately with the number of distinct values and the most common ones.
Practical guides
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How to Use CSV Descriptive Statistics
Upload or paste a CSV file to get N, missing values, mean, SD, SE, median, quartiles, min and max for every numeric column, plus category counts.
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