PCA Generator

I had an opportunity to go to Germany and worked at the Helmholtz Institute for RNA-based Infection Research (HIRI). At HIRI, I contributed to a project focused on creating the PCA generator by using Next.js, Python, and MongoDB.

The Principal Component Analysis (PCA) generator was designed to allow users to generating and visualize PCA plots and other related plots.

PCA is a statistical technique used for:

• Reducing the dimensionality of large datasets
• Transforming them into a set of linearly uncorrelated variables known as principal components.

The PCA application was built using Plotly, a robust data visualization library known for its interactive features. With Plotly, users can zoom in on specific areas of a plot, pan across the plot, and hover over data points to see their values.