Developing Data Products

Elijah Appiah
January 2, 2021

Introduction to Project

This presentation is part of the Course Project for the Coursera Developing Data Products class.

The peer assignment has two parts.

First, we need to create a Shiny application and deploy it on Rstudio's servers. Second, we should use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about the application.

This presentation adresses the second part of the course project. The app developed for the first part of the assignment is available at: https://zz32uj-elijah.shinyapps.io/course-project/

Source code for ui.R and server.R files are available on the GitHub: https://github.com/elijah-appiah/project

Select the best car for your trip App

The data used in the app comes from the Motor Trend Car Road Tests (mtcars) dataset. We can look to some characteristics of the data:

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

Plot

library(car)
scatterplotMatrix(~mpg+disp+wt, data=mtcars, cex.axis=1.5, col='red')

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