This ShinyApp has the purpose of helping you visualize the changes in wind and temperature in New York through the months of May to September in 1973.

You may input the month and day you want to look at and the application will plot the daily measurements for you, calculate the mean values for that month and show you the correlation between wind and temperature values for that month.

For this app, we are using the airquality dataset from R. We are focusing only on the temporal variables (Month and Day) and the Wind and Temperature variables.

##      Ozone           Solar.R           Wind             Temp      
##  Min.   :  1.00   Min.   :  7.0   Min.   : 1.700   Min.   :56.00  
##  1st Qu.: 18.00   1st Qu.:115.8   1st Qu.: 7.400   1st Qu.:72.00  
##  Median : 31.50   Median :205.0   Median : 9.700   Median :79.00  
##  Mean   : 42.13   Mean   :185.9   Mean   : 9.958   Mean   :77.88  
##  3rd Qu.: 63.25   3rd Qu.:258.8   3rd Qu.:11.500   3rd Qu.:85.00  
##  Max.   :168.00   Max.   :334.0   Max.   :20.700   Max.   :97.00  
##  NA's   :37       NA's   :7                                       
##      Month            Day      
##  Min.   :5.000   Min.   : 1.0  
##  1st Qu.:6.000   1st Qu.: 8.0  
##  Median :7.000   Median :16.0  
##  Mean   :6.993   Mean   :15.8  
##  3rd Qu.:8.000   3rd Qu.:23.0  
##  Max.   :9.000   Max.   :31.0  
## 

This is the link to access the ShinyApp:

https://miresol.shinyapps.io/WindTemp/

This is the link of the github repo where the code for this presentation and the app are stored:

https://github.com/mireiasole/Shiny-App-Project

This app can be modified to visualize data from other databases that have information on air quality measures for other places and times, as well as plot other variables such as ozone measures and analyze their relationships and interactions.