Mastering Plotly and Dash Data Visualization with Python/

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Dimensionality Reduction in Plotly

Dimensionality Reduction in Plotly

Learn how to harness Plotly figures to enhance insights and understand common dimensionality reduction techniques.

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Our data

Here we use the cancer dataset to perform dimensionality reduction using principal component analysis (PCA).

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# Import libraries
import pandas as pd
import numpy as np
# Import datasets
cancer = pd.read_csv('/usr/local/csvfiles/breast_cancer.csv')
print(cancer.head())

Principal component analysis

Just a brief definition first: Principal component analysis (PCA) aims to transform a high-dimensional feature space into a lower-dimensional space while still trying to retain as much information in the data as possible.

The idea behind this is that if we are dealing with a dataset with many features, we can represent the data in a much lower dimensional space ...