R is a programming language possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithm, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R,but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on

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Saturday, January 12, 2019

Traditionally these are used to explore relationships between time and another variable

set.seed(1410)
> dsmall <- diamonds[sample(nrow(diamonds), 100), ]
>
> qplot(carat, price, data = diamonds)

>
> qplot(carat, price,col=101, data = diamonds)
>
> qplot(carat, price,col="red", data = diamonds)
>
> qplot(carat, price,col="green", data = diamonds)
> qplot(carat, price,col="yellow", data = diamonds)
> qplot(carat, price,col=125, data = diamonds)
> qplot(log(carat), log(price), data = diamonds)
>
> qplot(exp(carat), log(price), data = diamonds)
>
> qplot(log(carat), log(price),col=232, data = diamonds)
> qplot(carat, price, data = dsmall, colour = color)
> qplot(carat, price, data = dsmall, shape = cut)

Warning message:
Using shapes for an ordinal variable is not advised
>
> qplot(carat, price, data = diamonds, alpha = I(1/10))
> qplot(carat, price, data = dsmall, geom = c("point", "smooth"))
`geom_smooth()` using method = 'loess' and formula 'y ~ x'
> qplot(carat, price, data = dsmall, geom = c("boxplot", "smooth"))
`geom_smooth()` using method = 'loess' and formula 'y ~ x'
Warning message:
Continuous x aesthetic -- did you forget aes(group=...)?
> qplot(carat, price, data = dsmall, geom = c("path", "line"))

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