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.

Principal Component Analysis

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. 

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Principal Component Analysis

How does it work? Watch this video.

Dimension Reduction with UMAP & t-SNE

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

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Dimension Reduction with UMAP and t-SNE

How does it work? Watch this video.

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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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