Have you ever wondered why the air in New York city is so… smelly? Or what its happening to the Ozone when the temperature is high and there’s little wind?

Well, now you can get some answers! This Shiny app will do wonders for you!

What the web app does?

• Quickly explore airquality data set
• Find relations between variables
• Simple linear regression model (one regressor)
• Predict Ozone values by user inputs

data("airquality")
head(airquality)

##   Ozone Solar.R Wind Temp Month Day
## 1    41     190  7.4   67     5   1
## 2    36     118  8.0   72     5   2
## 3    12     149 12.6   74     5   3
## 4    18     313 11.5   62     5   4
## 5    NA      NA 14.3   56     5   5
## 6    28      NA 14.9   66     5   6

• Shiny web app: https://jamorello.shinyapps.io/DDP-Course-Project/
• Source Code: https://github.com/JAMorello/datasciencecoursera/tree/master/Developing%20Data%20Products%20-%20Assignments/DDP-Course-Project