Merge pull request #61 from jbixon13/master

fix spelling

Author: cpsievert

introduction.Rmd

@@ -62,7 +62,7 @@ This simple example quickly shows how interactive web graphics can assist EDA (f
 
 ## What you will learn {#what-you-will-learn}
 
-This book provides a foundation for learning how to make interactive web-based graphics for data analysis from `R` via **plotly**, without assuming any prior experience with web technologies. The goal is to provide the context you need to go beyond copying existing **plotly** examples to having a useful mental model of the underlying framework, its capabilities, and how it fits into the larger R ecosystem. By learning this mental model, you'll have a better understanding of how to create more sophisticated visualizatons, fix common issues, improve performance, understand the limitations, and even contribute back to the project itself. You may already be familiar with existing **plotly** documentation (e.g., <https://plot.ly/r/>), which is essentially a language-agnostic how-to guide, but this book is meant to be more wholistic tutorial written by and for the R user.
+This book provides a foundation for learning how to make interactive web-based graphics for data analysis from `R` via **plotly**, without assuming any prior experience with web technologies. The goal is to provide the context you need to go beyond copying existing **plotly** examples to having a useful mental model of the underlying framework, its capabilities, and how it fits into the larger R ecosystem. By learning this mental model, you'll have a better understanding of how to create more sophisticated visualizatons, fix common issues, improve performance, understand the limitations, and even contribute back to the project itself. You may already be familiar with existing **plotly** documentation (e.g., <https://plot.ly/r/>), which is essentially a language-agnostic how-to guide, but this book is meant to be more holistic tutorial written by and for the R user.
 
 This book also focuses primarily on features that are unique to the **plotly** R package (i.e., things that don't work the same for Python or JavaScript). This ranges from creation of a single graph using the `plot_ly()` special named arguments that make it easier to map data to visuals: