i have seen on various examples (even in azure ml) able create appealing charts using r in visual studio (not r studio!), have no clue how did it. experienced r, if point me in right direction of how visualize data sets in visual studio , azure ml; appreciate it. here example duplicate (in both azure ml , visual studio): visual studio chart
image source: https://regmedia.co.uk/2016/03/09/r_vis_studio_plot.jpg?x=648&y=348&crop=1
you can install ggplot2 in solution in visual studio extension open r (https://www.visualstudio.com/en-us/features/rtvs-vs.aspx) through line of code , visualize within r plot window in visual studio after creating r-project:
install.packages('ggplot2', dep = true) library(ggplot2) the reason have «library(ggplot2)» check if package got installed, else error this: error in library(ggplot2) : there no package called ‘ggplot2’
so if don’t error; should go.
for question how output charts; have populate ggplot2 charts datasource, in example below (csv-file):
dataset1 <- read.csv("adult census income binary classification dataset.csv", header = true, sep = ",", quote = "", fill = true, comment.char = "") head(dataset1) install.packages('ggplot2', dep = true) library(ggplot2) names(dataset1) <- sub(pattern = ',', replacement = '.', x = names(dataset1)) foo = qplot(age, data = dataset1, geom = "histogram", fill = income, position = "dodge"); print(foo) bar = qplot(age, data = dataset1, geom = "density", alpha = 1, fill = income); print(bar) here can see create 2 charts, 1 histogram , 1 density-chart.
in azure ml, same charts (this time included histogram relationships well), this:
// map 1-based optional input ports variables dataset1 <- maml.mapinputport(1) # class: data.frame library(ggplot2) library(data.table) names(dataset1) <- sub(pattern=',', replacement='.', x=names(dataset1)) // time need specify x sex; didn’t need in visual studio foo = qplot(x=sex, data=dataset1, geom="histogram", fill=income, position="dodge"); print(foo) foo = qplot(x=relationship, data=dataset1, geom="histogram", fill=income, position="dodge"); print(foo) foo = qplot(x=age, data=dataset1, geom="density", alpha=0.5, fill=income); print(foo) // select data.frame sent output dataset port maml.mapoutputport("dataset1"); remember put of in “execute r script module” in order run correctly. after that, can right lick module , visualize result.
