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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Simulating the client data

Now that we have gone through the sales data simulation and we have the necessary fundamentals, the rest of the data simulation will be much easier. Furthermore, we will use many of the functions we created before to simulate the client and client messages data, which is great! Reusing functions like this is very efficient, and over time you will get into the habit of doing so. You will build your own collection of reusable code, which will make you increasingly more efficient when programming.

We start by defining the data frame we will use, just as we did before. In this case we will have the CLIENT_ID, BIRTH_DATE, CLIENT_SINCE, GENDER, and STARS variables. The STARS represent a rating between 1 (bad) and 5 (excellent):

gender_levels <- c("FEMALE", "MALE")
star_levels <- c("1", "2", "3", &quot...
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