A basic example
A 2D Plot
Explore mode!
Create a rotating static plot
Using describe_pca to evaluate the integrity of your visualization
Discovering clusters
Generating a legend
Saving a plot
Plotting a Pandas Dataframe
Visualizing the digits dataset
Visualizing the digits dataset using t-SNE
Animated trajectory plotted with multidimensional scaling
Saving an animation
Hyperalign a list of arrays and create an animated plot
Analyze data and then plot
Precognition
Aligning matrices to a common space
Labeling your datapoints
Using the cluster function to label clusters
A DataGeometry object or “geo”
Aligning two matrices with the procrustes function
Grouping data by category
Interpolating missing data with probabalistic PCA
Normalizing your features
Using the missing_inds function to label interpolated values
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