Developing data products - Week 3 Assignment

Simple plotly example - mtcars dataset

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Settings

We are going to plot ‘Mileage per gallon’ vs ‘Weight (1000 lbs)’, by ‘# of cylinders’

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

Settings (cont.)

f <- list(
  family = "Courier New, monospace",
  size = 11,   color = "#6e6e6e" )
x <- list(
  title = "Weight (1000 lbs)",   titlefont = f )
y <- list(
  title = "Mileage per gallon",   titlefont = f )

plot_ly(mtcars, x = mtcars$wt, y=mtcars$mpg, mode="markers", 
        type="scatter",color=as.factor(mtcars$cyl), size=mtcars$hp )

Plotting

## Warning: `line.width` does not currently support multiple values.

## Warning: `line.width` does not currently support multiple values.

## Warning: `line.width` does not currently support multiple values.

Interpretation

Simply put:

• At a glance, what it can be grasped from this analysis is that the less is the weight and number of cylinders in a motor, the more is the mileage per gallon, and conversely, the more the weight, less is the mileage per gallon.

References

• “Axes Labels in R - How to set the title and axis-titles in R” https://plot.ly/r/figure-labels/

• “Presentations with ioslides - Overview” http://rmarkdown.rstudio.com/ioslides_presentation_format.html

• “Motor Trend Car Road Tests” https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/mtcars.html