Team members:

Ravi Teja Majeti

Shivani bimavarapu

Rajyalakshmi Mukkamala

###1) Scatterplot matrix of passing yards, passing TDs, passer rating, rushing yards, and rushing TDs

Correlation between each pair of attribute is observed and minimum correlation observed between passing yards and rushing yards.

##R code:

football <- read.csv(file.choose())


pairs(~Passing.Yards+Passing.TD+Rate+Rushing.Yards+Rushing.TD, data=football, pch = 21, col = c("magenta", "forestgreen", "blue2"), main="Scatterplot Matrix")

##2)Bar chart of passing yards per player (best displayed as a horizontal bar chart), with conference as color

Statistics of passing yards of each player where players are grouped by conference as a color.

##R code:

football <- read.csv(file.choose())

 library(ggplot2)
 
 
ggplot(data=football, aes(x=Player, y=Passing.Yards, fill=Conf)) +
geom_bar(stat="identity", position=position_dodge()) + coord_flip() + ggtitle('Passing yards per player with conference as color')

##3)Bar chart of the average of one of the statistics for each conference

Average of interceptions of each conference, highest and lowest interceptions can be observed.

##R code:

football <- read.csv(file.choose())

 library(ggplot2)
 
 
ggplot(data=football, aes(x=Conf, y=Interceptions)) + stat_summary(fun.y="mean", geom="bar") + ggtitle('Average Interceptions in each Conference')