t1-t2 Score Plot

🗺️ What is this?

This is a panoramic map. It compresses dozens of data columns onto a two-dimensional plane (PC1 and PC2), allowing you to see at a glance who is in which group.

It shows the positions of samples (rows) in the principal component space.

🧐 How to read?

1. Clustering:
   • If points cluster in the middle, it indicates data stability.
   • If points form two separate clusters, it means there are two different "groups" in the data (such as different batches, different processes).
2. Outliers:
   • Those points that are far away and isolated are maverick outliers.

🛠️ How to use?

Note: This chart has a lasso function for selecting outliers.

• Draw circles: Use the mouse to circle a group of points to see if they all come from the same time period.

• Comparison analysis: The first selected points will be marked in red. Subsequent selected points will be marked in blue. Click Comparison Analysis to observe parameter contributions.