Developing Data Products

An Interactive Data Model

H Gjerning, 2016

Outline

The purpose of this exercise is to illustrate Interactive data analysis

  • We are going to explore fuel efficiency for cars

  • For this purpose I have chosen the very familiar dataset mtcars

  • We are using a simple interactive regression model with three variables:

            * Number of cylinders
        * Horsepower
        * Weight

  • to explain fuel consumption for a sample of cars

Slide 3

#   library(UsingR)
     predModel <- lm (mpg ~ cyl + hp + wt, data=mtcars)
     predModel

## 
## Call:
## lm(formula = mpg ~ cyl + hp + wt, data = mtcars)
## 
## Coefficients:
## (Intercept)          cyl           hp           wt  
##    38.75179     -0.94162     -0.01804     -3.16697

Slide 4

Findings:

  • Adjusting the three variables used in the analysis gives an idea of the sensitivity of the variables

  • this exercise was more for illustrating interactive analysis rather than in dept analysis so

  • have a go.............

Slide 5