When constructing a data visualization, it is often necessary to make annotations to the data displayed. Annotations are nothing but the meta-data for the plot. They provide additional contextual information to the plot such as:
Char title
Axis title
Text labels
Legends
Axis tick mark labels and their placements
Colors in plots
In this video, we will use gapminder data and annotate its non-data components using various functions from ggplot2 package used for the annotation.
geom_text ( ) function is used to annotate the chart
annotate ( ) function is used to annotate only the outlier in the chart
labs ( ) function is used for annotations of axis title, legends and chart title.
scale_ functions are used to change the axis scales
RcolorBrewer package is used to change the colors in the plot
The Rmarkdown file used in this video can be found at Github Repository:
https://github.com/siddharth-sahasrab...
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