The following code allows you to read in data from each page of an Excel workbook into a list of data frames in R. Then the code will run a function to clean the data in each of those data frames. Lastly, the data frames are joined together into one data frame for analysis.

Install and Load XLConnect Package

# install and load packages -----------------------------------------------
pkg <- c("XLConnect")

new.pkg <- pkg[!(pkg %in% installed.packages())]

if (length(new.pkg)) {


Read in Data from Excel Worksheets

# load excel workbook
excel <- loadWorkbook("filepath/ExcelData.xlsx") # change to match your path

# get sheet names
sheet_names <- getSheets(excel)
names(sheet_names) <- sheet_names

# put sheets into a list of data frames
sheet_list <- lapply(sheet_names, function(.sheet){readWorksheet(object=excel, .sheet)})

# limit sheet_list to sheets with at least 1 dimension 
sheet_list2 <- sheet_list[sapply(sheet_list, function(x) dim(x)[1]) > 0]

Define and Run Function to Clean Data

# code to read in each excel worksheet as individual dataframes
# for (i in 2:length(sheet_list2)){assign(paste0("df", i),[i]))}

# define function to clean data in each data frame (updated based on your data)
cleaner <- function(df){
  # drop rows with missing values 
  df <- df[rowSums( == 0,] 
  # remove serial comma from all variables 
  df[,-1] <- as.numeric(gsub(",", "", as.matrix(df[,-1])))
  # create numeric version of year variable for graphing 
  df$Year <- as.numeric(substr(df$year, 1, 4))
  # return cleaned df      

# clean sheets and create one data frame
# data <-,lapply(seq_along(sheet_list2), function(x) cleaner(sheet_list2[[x]])))
data <-,lapply(names(sheet_list2), function(x) cleaner(sheet_list2[[x]])))