Dynamic data visualizations in R

by finnstats

Dynamic data visualizations in R, Plot.ly specializes in dynamic data visualizations online and has a particular aptitude for translating R, Python, and other data processing tools’ code to produce data graphics.

The plotly.js javascript library, which is open source and used in this project, is the foundation for it. The plotly package in R provides access to the functionality of plot.ly.

Plotly is particularly appealing since it can use the ggplotly method to turn any ggplot2 object into a plotly object.

This makes current data visuals instantly interactive. Automatic features include mouse-over annotations and brushing.

For instance, we show a static graphic of the frequency of the names of the four Beatles members through time in the United States.

library(mdsr)
library(babynames)
library(dplyr)
library(ggplot2)
babynames<-data.frame(babynames)
Beatles<-subset(babynames, babynames$name==c("Mary","Anna","Elizabeth","Ringo"))
beatles_plot<-ggplot(data=Beatles,aes(x=year,y=n))+
geom_line(aes(color=name),size=2)
beatles_plot