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Sherrod Blankner
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Sherrod Blankner
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Sep 18, 2016
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df <- read.csv("/Users/mooncalf/Dropbox/skb/coursera/data/household_power_consumption.txt", sep=";") | ||
#convert the Date and Time variables to Date/Time classes in R using the 𝚜𝚝𝚛𝚙𝚝𝚒𝚖𝚎() and 𝚊𝚜.𝙳𝚊𝚝𝚎()functions. | ||
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#df$Date <- strptime(x = as.character(df$Date), format = "%d/%m/%Y") | ||
# temp column with date time | ||
df$DateTimeTemp <- paste(df$Date,df$Time) | ||
#convert to date time (for some reason required two steps to work) | ||
df$DateTime <- strptime(x = as.character(df$DateTimeTemp), format = "%d/%m/%Y %H:%M:%S") | ||
# drop extra columns | ||
#drops <- c(Daf, select = c("Global_active_DateTime","power","Global_reactive_power","Voltage", "Global_intensity","Sub_metering_1","Sub_metering_2","Sub_metering_3")) |