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cs_476_data_script.r
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library(readr) | |
data <- read_csv("data.csv", | |
col_types = cols(date = col_datetime(format = "%FT%T"))) | |
# costs <- read_csv("Cloud Provider Costs - Sheet1.csv") | |
normz <- function(column) { ( column - mean(column) ) / sd(column) } | |
# data <- merge(data, costs) | |
data[,c("nginx")] <- normz(getElement(data,"nginx")) | |
data[,c("sha256sum")] <- normz(getElement(data,"sha256sum")) | |
data[,c("sysbench/memory")] <- normz(getElement(data,"sysbench/memory")) | |
data[,c("sysbench/cpu")] <- normz(getElement(data,"sysbench/cpu")) | |
data[,c("sorting")] <- normz(getElement(data,"sorting")) | |
data[,c("ffmpeg")] <- normz(getElement(data,"ffmpeg")) | |
data$hour = as.double(format(data$date, "%H")) | |
data$weekday = format(data$date, "%A") | |
data$total = rowMeans(data[,3:8]) | |
aggregate(data, by=list(name=data$name), FUN=mean) |
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