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Compare two numeric columns from a CSV file with private, browser-based correlation analysis and a clear visual result.

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Personal analytics sandbox

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Kiomora sample data

14 rows · 6 columns · 5 numeric

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Current comparison

sleep_hours and energy

A strong positive relationship appears in the 14 rows where both columns contain numbers.

0.95Pearson correlation
0.95Rank correlation
14Rows included
0Rows excluded
Scatter plot of sleep_hours and energy6.18.325
Each dot is one included row. The orange line shows the linear trend.
sleep_hours

Average 7.26
Range 6.1 to 8.3

energy

Average 3.5
Range 2 to 5

This result describes the selected file only. It is not a medical conclusion, prediction, or proof of cause.

Read the result carefully

A useful comparison, not an explanation

Pearson correlation compares how closely two numeric columns follow a straight-line pattern. Rank correlation compares the order of the values, which can be useful when the relationship is consistent but not perfectly linear.

Neither score proves that one variable caused the other. Check the number of included rows, missing values, unusual days, and other factors before deciding whether a pattern deserves more observation.

Common questions

Does correlation prove that one thing caused another?

No. A correlation only describes how two columns moved in this file. Other variables, timing, missing data, and chance can affect the result.

Does Kiomora receive my CSV file?

No. The selected file is read and analyzed inside your browser. This tool does not upload the file or save its contents.

What data works best?

Use a header row and at least three rows where both selected columns contain numbers. More consistent records usually make the comparison easier to interpret.

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