R Tutorial: Intermediate Interactive Data Visualization with plotly in R

Want to learn more? Take the full course at https://learn.datacamp.com/courses/intermediate-interactive-data-visualization-with-plotly-in-r at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- Hi, I'm Adam Loy, and I'll be your instructor for this course on animated and linked graphics in R. Interacting with your graphics, or watching them change over time, allows you to gain insight that may be difficult to gain from static plots, and allows people to explore your analysis without pouring through many different views. For example, it's far easier to understand how the relationship between country-level CO2 emissions and income evolves over time using an animation than a large number of static plots. In this course, you'll learn how to explore multivariate relationships using both animation and interactivity. Before building more complicated graphics, let's review a few basic ideas about plotly. In this course, we will use plotly, a visualization library for interactive and dynamic web-based graphics. While there are other visualization libraries available for R, plotly is still under heavy development, so it's a great time to learn how to harness its power. Before you start creating graphics, it's important to think carefully about what type of graphic best suits your purpose: static, interactive, or dynamic. To highlight features of each type of graphic, let's consider creating a graphic to explore the price of the iShares all countries world index, an ETF that tracks the global stock market. A static plot remains permanently fixed after you create it. For example, you can create a time series plot of the closing price of the All Countries World Index over the course of 2017 for inclusion in a report. In contrast, an interactive graphic can be updated based on actions performed by the user. In our example, an interactive graphic allows us to hover above a specific date to see the closing price or