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@@ -112,6 +112,9 @@

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  names(df)[1] <- "hour"
  ## There's an empty row at the end of the data
  df <- df[3:(nrow(df) - 1), ]
  ## Remove columns with NA for name
  if (length(which(is.na(names(df)))))
    df <- df[ , -which(is.na(names(df)))]
  df <- gather(df, station_code, value, -date, -hour)
  df[which(df$value == ""), "value"] <- NA
  df$value <- as.numeric(as.character(df$value))

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R	965	811	0	154	84.04%
Project Totals (10 files)	965	811	0	154	84.04%

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112	112		names(df)[1] <- "hour"
113	113		## There's an empty row at the end of the data
114	114		df <- df[3:(nrow(df) - 1), ]
	115	+	## Remove columns with NA for name
	116	+	if (length(which(is.na(names(df)))))
	117	+	df <- df[ , -which(is.na(names(df)))]
115	118		df <- gather(df, station_code, value, -date, -hour)
116	119		df[which(df$value == ""), "value"] <- NA
117	120		df$value <- as.numeric(as.character(df$value))

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