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plot4.R
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plot4.R
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# 1 reading, subsetting & converting file
classes <- c("character",
"character",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric")
datatable <- read.csv("household_power_consumption.txt",
sep = ";",
na.strings = c("?"),
colClasses = classes)
datasubset <- subset(datatable, Date=="1/2/2007" | Date=="2/2/2007")
datasubset$DateTime <- strptime(paste(datasubset$Date, datasubset$Time),
"%d/%m/%Y %H:%M:%S")
# 2 save PNG plot
png(filename = "plot4.png",
width = 480, height = 480)
par(mfcol=c(2,2))
plot(datasubset$DateTime, datasubset$Global_active_power,
type = "l",
xlab = "",
ylab = "Global Active Power (kilowatts)")
plot(datasubset$DateTime, datasubset$Sub_metering_1,
type = "l",
xlab = "",
ylab = "Energy sub metering")
lines(datasubset$DateTime, datasubset$Sub_metering_2, col="red")
lines(datasubset$DateTime, datasubset$Sub_metering_3, col="blue")
legend("topright", pch = "-", col = c("black", "red", "blue"), bty="n",
legend = c("Sub_metering_1", "Sub_metering_2", "Sub_metering_3"))
plot(datasubset$DateTime, datasubset$Voltage,
type = "l",
xlab = "datetime",
ylab = "Voltage")
plot(datasubset$DateTime, datasubset$Global_reactive_power,
type = "l",
xlab = "datetime",
ylab = "Global_reactive_power")
dev.off()