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Correlation Calculator – Ease Tools
Calculate coefficients instantly with Correlation Calculator
Calculate coefficients instantly with the Correlation Calculator by Ease Tools. Analyze Pearson correlation for accurate statistics and data insights.
Would be great if you could add Spearman and Kendall correlation options too since Pearson only works for linear relationships and a lot of datasets I work with are non-linear or have outliers.
About Correlation Calculator – Ease Tools on Product Hunt
“Calculate coefficients instantly with Correlation Calculator”
Correlation Calculator – Ease Tools was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #140 on the daily leaderboard. Calculate coefficients instantly with the Correlation Calculator by Ease Tools. Analyze Pearson correlation for accurate statistics and data insights.
On the analytics side, Correlation Calculator – Ease Tools competes within Productivity, Education and Tech — topics that collectively have 1.4M followers on Product Hunt. The dashboard above tracks how Correlation Calculator – Ease Tools performed against the three products that launched closest to it on the same day.
Who hunted Correlation Calculator – Ease Tools?
Correlation Calculator – Ease Tools was hunted by Kushal Chaudhary. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Correlation Calculator – Ease Tools including community comment highlights and product details, visit the product overview.
Kushal Chaudhary
Would be great if you could add Spearman and Kendall correlation options too since Pearson only works for linear relationships and a lot of datasets I work with are non-linear or have outliers.