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Image by Roberto Sorin

Data Scientists Toolbox
 

Data science tools, created using R’s shiny library. These tools are designed to assist data scientists and data analysts to perform simple everyday data science and analytics tasks.

Use this tool to perform Principal Component Analysis (PCA) on a CSV* file input. The tool can also be used for simple Correlation analysis and KMeans Clustering.

Principal Component Analysis
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How It Works 

Use this tool to perform dimension reduction with UMAP and t-SNE on a CSV* file input or R library dataset.

How It Works 

Dimension Reduction with UMAP & t-SNE
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For tools requiring a CSV file input, check my GitHub repository for some test files at this link.

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