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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

Starting with simple applications for bar graphs

We will start with simple graphs and build our way up towards advanced graphs. The first graph we will create is a bar graph. We will plot a frequency table that shows how many sale orders we have for each QUANTITY number in our sales. To do so, we use the ggplot() function using sales as the data and setting up the aesthetics with the aes() function with QUANTITY in the x axis (the first argument).

After we create a graph base with the ggplot() function, we add layers for different objects we want to see in the graph (for example, bars, lines, and points). In this case, we add bars with the geom_bar() function. Note how this layer is added using the + (plus) sign to the graph base. After that, we add another layer for the title with ggtitle(). Finally, we add an x axis specification with the scale_x_continuous() function that will...

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