Developing Outlier Visualization for Multivariate Data

Hi,

I would like to ask if there are any resource on developing the outlier chart / Visualization for Multivariate variables (Eg: More than 10 features used on the outlier model)

The examples here are only when there are 2 features:

IX1 - inlier feature 1, IX2 - inlier feature 2

IX1 =  np.array(dfx['Item_MRP'][dfx['outlier'] == 0]).reshape(-1,1)
IX2 =  np.array(dfx['Item_Outlet_Sales'][dfx['outlier'] == 0]).reshape(-1,1)

# OX1 - outlier feature 1, OX2 - outlier feature 2
OX1 =  dfx['Item_MRP'][dfx['outlier'] == 1].values.reshape(-1,1)
OX2 =  dfx['Item_Outlet_Sales'][dfx['outlier'] == 1].values.reshape(-1,1)

What if i have 10 features used in the outlier model ?
Is it possible to plot a chart like this ?

(Sorry, I’m very new to this)

© Copyright 2013-2019 Analytics Vidhya