Animate Graphs in R: Make Gorgeous Animated Plots with gganimate

dataslice · Intermediate ·🌐 Frontend Engineering ·5y ago

Key Takeaways

The video demonstrates how to create animated graphs in R using the gganimate package, showcasing various examples and providing resources for further learning, including Katherine Goode's slides and gganimate documentation.

Original Description

Animate Graphs in R: Make Gorgeous Animated Plots with gganimate Katherine Goode's slides: https://goodekat.github.io/presentations/2019-isugg-gganimate-spooky/slides.html#1 gganimate Documentation: https://gganimate.com/reference/index.html Code: https://github.com/abhimotgi/dataslice/blob/master/R/gganimate%20code.R Datanovia walkthrough (this video builds off the examples): https://www.datanovia.com/en/blog/gganimate-how-to-create-plots-with-beautiful-animation-in-r/ Video Game Sales Dataset: https://www.kaggle.com/gregorut/videogamesales Google Play Store Apps Dataset: https://www.kaggle.com/lava18/google-play-store-apps 0:00 Intro 0:55 Graph 1: Transition through time 6:08 Graph 2: Data gradually appears 10:25 Graph 3: Transition between states 13:20 Additional documentation
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This video teaches how to create stunning animated plots in R using gganimate, covering various examples and providing resources for further learning. By following this lesson, viewers can learn how to effectively visualize data and create engaging animations. The video is particularly useful for those interested in data science and visualization.

Key Takeaways
  1. Install and load the gganimate package in R
  2. Explore the gganimate documentation and examples
  3. Create a simple animated plot using gganimate
  4. Customize the animation by adding transitions and states
  5. Use the videogamesales dataset or Google Play Store Apps dataset to create an animated plot
💡 The gganimate package provides a powerful tool for creating animated plots in R, allowing users to effectively visualize and communicate complex data insights.

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Chapters (5)

Intro
0:55 Graph 1: Transition through time
6:08 Graph 2: Data gradually appears
10:25 Graph 3: Transition between states
13:20 Additional documentation
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