"flexbility" to "flexibility"

Author: serhatcevikel

introduction.Rmd

@@ -109,7 +109,7 @@ This book contains six parts and each part contains numerous chapters. A summary
 
 3. _Combining multiple views:_ demonstrates how to combine multiple data views into a single web page (arranging) or graphic (animation). Most of these techniques are shown using **plotly** graphs, but techniques from Section \@ref(arranging-htmlwidgets) extend to any HTML content generated via **htmltools** (which includes **htmlwidgets**).
 
-4. _Linking multiple views:_ provides an overview of the two models for linking **plotly** graph(s) to other data views. The first model, covered in Section \@ref(graphical-queries), outlines **plotly**'s support for linking views purely client-side, meaning the resulting graphs render in any web browser on any machine without requiring external software. The second model, covered in Chapter \@ref(linking-views-with-shiny), demonstrates how to link **plotly** with other views via **shiny**, a reactive web application framework for `R`. Relatively speaking, the second model grants the `R` user way more power and flexbility, but comes at the cost of requiring more computational infrastructure. That being said, RStudio provides accessible resources for deploying **shiny** apps <https://shiny.rstudio.com/articles/#deployment>.
+4. _Linking multiple views:_ provides an overview of the two models for linking **plotly** graph(s) to other data views. The first model, covered in Section \@ref(graphical-queries), outlines **plotly**'s support for linking views purely client-side, meaning the resulting graphs render in any web browser on any machine without requiring external software. The second model, covered in Chapter \@ref(linking-views-with-shiny), demonstrates how to link **plotly** with other views via **shiny**, a reactive web application framework for `R`. Relatively speaking, the second model grants the `R` user way more power and flexibility, but comes at the cost of requiring more computational infrastructure. That being said, RStudio provides accessible resources for deploying **shiny** apps <https://shiny.rstudio.com/articles/#deployment>.
 
 5. _Custom behavior with JavaScript:_ demonstrates various ways to customize **plotly** graphs by writing custom JavaScript to handle certain user events. This part of the book is designed to be approachable for `R` users that want to learn just enough JavaScript to **plotly** to do something it doesn't "natively" support.