plot4.R

# Assignment - 1


# Reads the entire dataset

HOUSEHOLD_data <- read.table("D:\\exploratory_R\\week 1\\household_power_consumption.txt", header = TRUE, sep = ';', na.strings = "?", check.names = FALSE, stringsAsFactors = FALSE, comment.char="", quote='\"')

str(HOUSEHOLD_data)

HOUSEHOLD_data$Date <- as.Date(HOUSEHOLD_data$Date, format="%d/%m/%Y")

# Subseting the required data

data <- subset(HOUSEHOLD_data, subset = (Date >= "2007-02-01" & Date <= "2007-02-02"))

str(data)

# Converts dates

date_time <- paste(as.Date(data$Date), data$Time)

data$Datetime <- as.POSIXct(date_time)

# Ploting data

par(mfrow = c(2, 2), mar = c(4, 4, 2, 1), oma = c(0, 0, 2, 0))
with(data, {
    plot(Global_active_power~Datetime, type = "l", 
         ylab = "Global Active Power (kilowatts)", xlab = "")
    plot(Voltage~Datetime, type = "l", 
         ylab = "Voltage (volt)", xlab = "datetime")
    plot(Sub_metering_1~Datetime, type = "l", 
         ylab = "Global Active Power (kilowatts)", xlab = "")
    lines(Sub_metering_2~Datetime, col = 'Red')
    lines(Sub_metering_3~Datetime, col = 'Blue')
    legend("topright", col = c("black", "red", "blue"), lty = 1, lwd = 2, bty = "n",
           legend = c("Sub_metering_1", "Sub_metering_2", "Sub_metering_3"))
    plot(Global_reactive_power~Datetime, type = "l", 
         ylab = "Global Rective Power (kilowatts)", xlab = "datetime")
})

# Saving data to file
dev.copy(png, file = "plot4.png", height = 480, width = 480)

dev.off()
dev.off()
dev.off()