Regression App

Coursera
Developing Data Products Course - #9
Johns Hopkins University - Data Science Specialization

This presentation is the final course project within the Developing Data Products Course on the Data Science Specialization by Johns Hopkins University on Coursera.

Using the mtcars data set included in R, we creating a data product that displays a linear regression model. The product function predicts the value of the outcome “Number of Miles Per Gallon of Gasoline” of a car, with the most relevant independent variables found in the data set.

• Form of Input used:

  • Radio Button
  • Slider
    

• Reactive output displayed as a result of server calculations

• The server.R and ui.R codes are posted on github at: https://github.com/Diego-Angulo/Data-Science-Specialization/tree/master/Developing%20Data%20Products%20Course/Week%204%20Final%20Project

• The App can be found at: https://diegoangulo.shinyapps.io/regressionapp/

head(mtcars, n = 5)

                   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