This is the final project for the Coursera course, Developing Data Products. This project includes

• A shiny app deployed on RStudio
• A quick presentation describing the app

• Do you own a fantasy football team?!
• Are you super competitive?
• Are you tired of making seemingly "random" decisions
• Are you tired of hearing constant smack from the rest of your league?

This may be the app for you. In a quick snapshot you can gain insight in to passing yards based off of predictors such as:

• Opponent defensive rank
• Opponent
• Location of the game (home or away), and finally
• Whether it is a conference game or non-conference game

Snapshot summary of the statistics for Andrew Luck, quarterback for the Indianopolis Colts…and one of my top fantasy performers.

   Location             Opp              ConfGame          Def.Rank.Yds  
 Length:62          Length:62          Length:62          Min.   : 1.00  
 Class :character   Class :character   Class :character   1st Qu.: 8.00  
 Mode  :character   Mode  :character   Mode  :character   Median :16.00  
                                                          Mean   :16.26  
                                                          3rd Qu.:23.00  
                                                          Max.   :31.00  
    PassYds          PassTD           Int            RushYds     
 Min.   :109.0   Min.   :0.000   Min.   :0.0000   Min.   :-1.00  
 1st Qu.:206.2   1st Qu.:1.000   1st Qu.:0.0000   1st Qu.:10.25  
 Median :255.0   Median :2.000   Median :1.0000   Median :20.50  
 Mean   :270.8   Mean   :1.871   Mean   :0.9516   Mean   :20.18  
 3rd Qu.:331.2   3rd Qu.:2.000   3rd Qu.:1.7500   3rd Qu.:28.75  
 Max.   :433.0   Max.   :5.000   Max.   :3.0000   Max.   :50.00  
     RushTd      
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.2097  
 3rd Qu.:0.0000  
 Max.   :2.0000  

An example of the output shown is Luck's passing yards against four predictor variables