Screenshot of the app
Soumava Dey
10/20/2018
This is an RStudio shiny application developed as a part of final project in the Developing Data Products course in Coursera Data Science Specialization track. The application predicts the horsepower of differnt cars based on their mpg values using two different linera models.mtcars dataset has been used to build this predication app on shiny. This is an initial attempt to build linear models to predict outcomes depending upon various models.In the shiny app , users will find two different models : model1 and model2. model1 was built based on linear relationship between hp ~ mpg, but for model2 only higher mpg value(mpg > 20) was considered to establish the linear prediction.
Form of Input used: slider, checkboxinput and submit button Reactive output : Based on the linear model slectetions the app will showcase scatterplot , trendline and the hp value corresponds to the MPG value of the car
The server.R and ui.R codes are posted on github at: https://github.com/soudey123/mtcars_hp_prediction
The App can be found at: https://soudey123.shinyapps.io/mtcars_hp_prediction/
summary(mtcars)## mpg cyl disp hp
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## drat wt qsec vs
## Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000
## Median :3.695 Median :3.325 Median :17.71 Median :0.0000
## Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000
## Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000
## am gear carb
## Min. :0.0000 Min. :3.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000
## Median :0.0000 Median :4.000 Median :2.000
## Mean :0.4062 Mean :3.688 Mean :2.812
## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :1.0000 Max. :5.000 Max. :8.000