Publications by Perceptive Analytics
Anomaly Detection in R
The World of Anomalies Imagine you are a credit card selling company and you know about a particular customer who makes a purchase of 25$ every week. You guessed this purchase is his fixed weekly rations but one day, this customer makes a different purchase of 700$. This development will not just startle you but also compel you to talk to the cu...
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Dealing with The Problem of Multicollinearity in R
Imagine a situation where you are asked to predict the tourism revenue for a country, let’s say India. In this case, your output or dependent or response variable will be total revenue earned (in USD) in a given year. But, what about independent or predictor variables? You have been provided with two sets of predictor variables and you have to...
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Using Control Charts in R
I am sure you must have heard of Six Sigma quality standard or Six Sigma experts. But, what is Six Sigma? Six Sigma is a set of techniques used by organizations to improve their processes and optimize operations. Six Sigma was popularized by manufacturing organizations and Jack Welch, former CEO of GE, was one of advocators of Six Sigma. At the h...
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Simple Steps to Create Treemap in R
The following document details how to create a treemap in R using the treemap package. What are they & when do we use them In the most basic terms a treemap is generally used when we want to visualize proportions. It can be thought of a pie map where the slices are replaced by rectangles. Using pie charts to visualize proportion is an excellent ...
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How to Perform Ordinal Logistic Regression in R
In this article, we discuss the basics of ordinal logistic regression and its implementation in R. Ordinal logistic regression is a widely used classification method, with applications in variety of domains. This method is the go-to tool when there is a natural ordering in the dependent variable. For example, dependent variable with l...
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