plot1.R

# 1. Read the data into R

data<-read.table("./exdata_data_household_power_consumption/household_power_consumption.txt",
                 sep=";",header=TRUE)
str(data)
View(data)


# 2. Convert the Date and Time variables to Date/Time classes

data$Date<-as.Date(data$Date,"%d/%m/%Y")
data$Time<-format(strptime(data$Time, "%H:%M:%S"),"%H:%M:%S")


# 3. Extract the data from '2007-02-01' to '2007-02-02'

data1<-data[which(data$Date %in% c(as.Date('2007-02-01'),as.Date('2007-02-02'))),]
View(data1)
str(data1)


# 4. Convert some variables into numeric
data1$Global_reactive_power<-as.numeric(data1$Global_reactive_power)
data1$Global_active_power<-as.numeric(data1$Global_active_power)


# 5. Construct plots and create PNG files

## Plot1:
par(mfrow=c(1,1))
hist(data1$Global_active_power,
     col="red",main="Global Active Power",
     xlab="Global Active Power (kilowatts)")
dev.copy(png,file="plot1.png",width = 480, height = 480,units = "px")
dev.off()