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plot2.R
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40 lines (36 loc) · 1.3 KB
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rawDataFileName <- "../household_power_consumption.txt"
# Read the data from the file.
# For now keep the date and time as a character strings.
d <- read.table(rawDataFileName,
header = TRUE,
sep = ";",
na.strings = "?",
colClasses = c("character",
"character",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric",
"numeric"
),
comment.char = ""
)
# Keep only the needed dates.
# The dates appear to be in the D/M/YYYY format,
# without leading zeros.
d <- subset(d, Date %in% c("1/2/2007", "2/2/2007"))
# Convert the Date and Time character strings to a timestamp.
d$Timestamp <- as.POSIXct(paste(d$Date, d$Time, sep = " "),
format = "%d/%m/%Y %H:%M:%S")
# Drop the Date and Time character strings.
d <- d[, ! names(d) %in% c("Date", "Time")]
# Draw the Global_active_power over time.
png("plot2.png")
plot(d$Timestamp, d$Global_active_power,
type = "l",
xlab = "",
ylab = "Global Active Power (kilowatts)"
)
dev.off()