R Link Explorer

linkspotterGraph(corDF = corCouples, variablesClustering = cl, corMethod = "MaxNMI", minCor = 0.25, dynamicNodes = TRUE)

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When faced with a new dataset containing dozens of variables, manually examining correlation matrices is tedious. linkspotter automates this process by generating an interactive graph that immediately reveals which variables are strongly related (connected by thick edges) and which clusters of variables naturally form.

When the data returns from the API, you will receive JSON. The key metrics you should explore within the R environment include: Warning: This only finds links on a single

: Always exit the program correctly before ejecting the card to ensure the file system remains intact.

Warning: This only finds links on a single page, not the whole web. Use this for competitor internal linking audits, not global backlink counts. to your SD card

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edges <- data.frame( from = c("siteA.com", "siteB.com", "siteC.com", "siteA.com"), to = c("yourdomain.com", "yourdomain.com", "competitor.com", "competitor.com") )

If your exact match percentage is above 30%, you are at risk of a Google penalty.