This project is designed to give me the experience in using R, in particular gganimate package to create animation plots as part of my master subject assignment at University of Technology Sydney.
Data visualization is critical to any data science project because it enables effective data storytelling through graphs and plots. Additionally, data visualization with R is a necessary skill to develop in order to communicate effectively with stakeholders.
Concentrating on a statistical chart, on the other hand, is difficult in most cases, and you have no control over the pace at which the information is presented, particularly with time series analysis. The gganimate
package extends ggplot
, allowing us to create visually appealing data animations with only a few additional lines of code. Furthermore, we can customize and enhance the interactivity of your graphs. I will demonstrate how to further enhance these ggplot
visualizations by animating them using the gganimate
package in this report.
In our case we will use the gapminder
dataset, as it is a classic dataset in the animation field. The final output will look like this:
Contributions, issues, and feature requests are welcome!
To contribute to this project, see the GitHub documentation on creating a pull request.
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© 2021 Leah Nguyen