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#computing the arithmetic and geometric mean, median, mode, and sd for feature A. #Deal with any missing values as well/ arith_meanA<-mean(my_data$Global_active_power, na.rm = TRUE) #compute geometric mean for feature A. geo_meanA<-exp(mean(log(my_data$Global_active_power), na.rm = TRUE)) #compute median for feature A. medianA<-median(my_data$Global_active_power, na.rm = TRUE) #compute mode for feature A. mode<-function(x){ unix <-unique(x) unix[which.max(tabulate(match(x,unix)))] } modeA<-mode(my_data$Global_active_power) #standard deviation computation sdA<-sd(my_data$Global_active_power, na.rm = TRUE) print(paste("Computations for feature A: ", "Arithmetic Mean:", arith_meanA, "Geometric Mean:", geo_meanA, "Median:", medianA, "Mode:", modeA, "Standard Deviation:", sdA))
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