Wrap-up
1. Wrap-up
Congratulations - you've finished the course! Now that you've reached the end, you understand how to animate your plotly charts, to create linked views, and to add basic selector widgets to filter the dataset without shiny.2. Chapter 1: plotly review
In chapter 1, you reviewed the fundamentals of plotly, including how to thoughtfully use color, size, and symbol to represent additional variables. You also reviewed how to polish your charts to add context for the reader.3. Chapter 2: Animating your charts
In chapter 2, you learned how to animate your plotly charts. First, you learned about how keyframe animation is implemented in plotly using the frame aesthetic, and why the ids aesthetic is needed to ensure object constancy. Next, you learned how to adjust the animation options to polish the transitions and other behavior. Then, you learned how to layer elements in an animation to, for example, add background text or to display a baseline measurement. Finally, you learned how to wrangle your data to create cumulative animations, which are especially useful for visualizing time series data such as the space race or financial indicators.4. Chapter 3: Linked views and shinier charts
In chapter 3, you learned how to use the crosstalk package with the highlight function to create SharedData objects that enable you to link your plotly charts, so that selections are reflected on all of your linked charts. Linked brushing is a powerful exploratory tool that help uncover clusters and outliers across multiple dimensions. You also learned how to implement different selection strategies using the highlight command and how to add basic inputs to facilitate filtering using the bscols function in crosstalk.5. Chapter 4: Space launches case study
In this chapter, you reviewed the concepts from the first three chapters while exploring the space launches dataset. Along the way, you learned about the `complete` function in the tidyr package, allowing you to wrangle your dataset to allow the animation of multiple time series on a single chart.6. Where to go from here
You’ve learned a lot, so where should you go from here to continue expanding your interactive graphics toolkit? The good news is that there are many fantastic options: If plotly is the only interactive plotting library that you’re familiar with, then I encourage you to check out DataCamp’s courses on * leaflet * highcharter * trelliscope * or rbokeh If the idea of linked views and selector widgets grabbed your interest, then I encourage you to learn how to harness the power of shiny. * Carson Sievert’s book, plotly for R, introduces the idea of linked views with shiny, but I would recommend learning the basics of shiny prior to jumping in. * Additionally, DataCamp has great courses on building web applications with shiny.7. Thank you!
Thanks for taking this course with me, I hope that you've had as much fun as I have. Now go forth and link and animate your interactive graphics!Create Your Free Account
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