Analytics Features

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Analytics Features Introduction

Overview of the analytics features on this page.

Feature	Utility Overview	More Info
Average Plot with Original Spectra	Visualize original data, visualize standard deviation and mean spectrum	Average_Plot
Confidence Interval Plot	Visualize standard deviation and mean spectrum	Confidence_Interval_Plot
Derivative Analysis
Correlation Heatmap	Quantify similarities between spectra trends in a grid format	Correlation_Heatmap
Peak Identification and Stats	Identify and classify peaks in spectra intensity	Peak_Identification
Hierarchically-clustered Heatmap	Group spectra with similar spectra, visualize differences with a color mapping	Clustermap
Principal Component Analysis (PCA)	Simplify data by reducing it to a small list of components, useful for identifying noise	PCA
T-Distributed Stochastic Neighbor Embedding (t-SNE)	Visualize clustering of high-dimensional data in 2D	T-SNE

Please find more detailed information in child documents.

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Table of contents

• Average Plot
• Confidence Interval Plot
• Correlation Heatmap
• Peak Identification
• Clustermap
• Principal Component Analysis
• T-SNE