Understanding scale in R

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I'm attempting to comprehend R's definition of scale. There is a VERY significant positive skew in the data I have (mydata) that I want to use to create a heat map with. For both scale (my data) and log (my data), I made a heatmap with a dendrogram, and the dendrograms are distinct for each. Why? What is the difference between scaling and log-transforming my data? Which would be more suitable if I wanted to view the dendrogram showing how my data's columns are related to one another?

Any assistance is appreciated. Despite reading the definitions, they are completely out of my league.
Jul 6, 2022 in Data Science by avinash
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