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Hey data engineers! I’m using the K-means algorithm to perform clustering on a dataset. What is the most suitable visualization for a highly heterogeneous dataset, where there is a high concentration in a few agents and almost no concentration in many others? I’m considering options such as scatter plot, boxplot, violin plot, UMAP. Which of these works best for this type of distribution?

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Using K-means with SSE and Elbow Tecnic!

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Time for dataset exploratory analysis!

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