Book Image

Practical Predictive Analytics

By : Ralph Winters
Book Image

Practical Predictive Analytics

By: Ralph Winters

Overview of this book

This is the go-to book for anyone interested in the steps needed to develop predictive analytics solutions with examples from the world of marketing, healthcare, and retail. We'll get started with a brief history of predictive analytics and learn about different roles and functions people play within a predictive analytics project. Then, we will learn about various ways of installing R along with their pros and cons, combined with a step-by-step installation of RStudio, and a description of the best practices for organizing your projects. On completing the installation, we will begin to acquire the skills necessary to input, clean, and prepare your data for modeling. We will learn the six specific steps needed to implement and successfully deploy a predictive model starting from asking the right questions through model development and ending with deploying your predictive model into production. We will learn why collaboration is important and how agile iterative modeling cycles can increase your chances of developing and deploying the best successful model. We will continue your journey in the cloud by extending your skill set by learning about Databricks and SparkR, which allow you to develop predictive models on vast gigabytes of data.
Table of Contents (19 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback

Compressing descriptions using camelcase

For long descriptions, sometimes it is beneficial to compress them into camelcase to improve readability. This is especially valuable when viewing descriptions that are labels on x or y axes.

Camelcase is a method that some programmers use for writing compound words, where spaces are first removed, and then each word begins with a capital letter. It is also a way of conserving space.

To accomplish this, we can write a function called .simpleCap, which performs this function. To illustrate how it works, we will pass it a two element character vector c("A certain good book","A very easy book"), and observe the results.

Custom function to map to camelcase

This is a simple example use of this function that maps the two character vector c("A certain good book", "A very easy book") to camelcase. This vector is mapped to two new elements:

[1] "ACertainGoodBook", and  [2] "AVeryEasyBook" 
# change descriptions to camelcase maybe append to itemnumber for uniqueness...