plot2.R

setwd("C:\\Projects\\MDataScience\\Exploratory\\Week1Exercise")

powerConsumptionRaw <- read.table("household_power_consumption.txt",na.strings="?", sep=";", header=T, colClasses = c("character", "character","numeric", "numeric", "numeric" , "numeric" , "numeric" , "numeric" , "numeric" ))

newDateTime <- paste (powerConsumptionRaw$Date, powerConsumptionRaw$Time, sep=" ")
convertedDate <- as.Date(strptime(newDateTime, "%d/%m/%Y %H:%M:%S"))
convertedDateTime <- as.POSIXlt(strptime(newDateTime, "%d/%m/%Y %H:%M:%S"))

powerConsumptionCleansed <- cbind(convertedDate, convertedDateTime, powerConsumptionRaw[c(-1,-2)])

dateRangeAbove <- convertedDate >= as.Date(strptime("2007-02-01", "%Y-%m-%d")) 
dateRangeBelow <- convertedDate <= as.Date(strptime("2007-02-02", "%Y-%m-%d")) 
dateRanges <- dateRangeBelow == TRUE & dateRangeAbove==TRUE 

powerConsumptionFinal <- powerConsumptionCleansed[dateRanges,]

### Plot 2 ########
plot(powerConsumptionFinal$convertedDateTime,powerConsumptionFinal$Global_active_power, xlab="", ylab= "Global Active Power (kilowatts)", type= "l")
dev.copy(png, file="plot2.png")
dev.off()