PLOTTING GRAPHS USING PLOTLY PACKAGE

LOADING OF THE DATA SET USED

data(mtcars)
head(mtcars)

##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

PLOTTING A SIMPLE SCATTERPLOT

library(plotly)
plot_ly(mtcars,x=mtcars$wt,y=mtcars$mpg,color=mtcars$cyl,mode="markers")

## Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
## Please use `arrange()` instead.
## See vignette('programming') for more help
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.

This would simply plot a scatterplot between wt and mpg of cars.

The colors are distinguished based on cyl values.

REGRESSION ANALYSIS ON THE DATA SET FOR PREDICTION

p<-ggplot(mtcars,aes(x=wt,y=mpg))+geom_point(size=3,color=mtcars$cyl)+geom_smooth(aes(color=mtcars$cyl))
ggplotly(p)

## Warning: Use of `mtcars$cyl` is discouraged. Use `cyl` instead.

IF WE ARE INTERESTED TO PLOT THE REGRESSION LINE IN THE PLOT WE CAN UTILISE THE GGPLOT FUNCTIONS PROVIDED IN PLOTLY PACKAGE.

THIS GIVES A BASIC REGRESSION EXAMPLE, WHERE ggplot DRAWS THE PLOT.

IF WE WANT TO SHOW THE DATA POINTS THE geom_point IS USED.THE COLOR AND ATTRIBUTES OF THE LOCATING POINTS CAN BE MANIPULATED IN geom_point.

TO SHOW THE REGRESSION LINE GGPLOT HAS FUNCTION geom_smooth. THIS ADDS A REGRESSION LINE TO THE PLOT.