Finally, the color (particularly, the colour parameter) of the data points will be a function of the country for which it belongs to.
The size of each data point will now be dependent on the pop variable (the larger the pop value becomes the larger the data point also becomes). The aes() function allows aesthetic mapping of the input variables by defining the use of gdpPercap to be displayed on the X axis while defining lifeExp to be displayed on the Y axis. The first input argument defines the input data that is stored in the gapminder variable. Line 1 - The ggplot() function is used for creating plots using the ggplot2 R package.
#Gganimate without gifski code
Screenshot of implementing the code in an RStudio IDE. Here, we will start by loading the gapminder package and return the contents of the gapminder variable. Prior to our data visualization, let’s have a look at the Gapminder dataset. gifski allows us to render the animation as a GIF file format (GIF is a popular image format for animated images).gganimate allows us to add animation to the plots.ggplot2 allows us to create awesome data visualizations namely the scatter plot.gapminder contains an excerpt of the Gapminder time series dataset that we are using in this tutorial.Let’s now take a look at why we’re using the above R packages. install.packages(c('gapminder','ggplot2','gganimate','gifski'))
#Gganimate without gifski install
To install these R packages, type the following into an R terminal (whether it be directly into an R terminal, in an R terminal from within the RStudio or in a code cell of a Kaggle Notebook.
In this tutorial, we’re using 4 R packages including gapminder, ggplot2, gganimate and gifski. My personal favorite for coding in R would have to be using the RStudio IDE, which is free and open source. Within this coding environment you will be typing in the codes mentioned hereafter. Now, fire up your IDE of choice whether it be RStudio, Kaggle Notebooks or a plain old R terminal. Animated scatter plot of the Gapminder dataset created using ggplot and gganimate.
0 kommentar(er)
