Biggest Expenses
Part of the Logic & Flow section of Coddy's R journey. Lesson 60 of 64.
Challenge
MediumAdd the TOP command. Keep every command from the previous steps working exactly as before.
TOP <n>: reply with thenlargest expenses, one per line, from the largest down, as2024-05-02 rent 500.00. Expenses with the same amount are listed by date, earliest first. If fewer thannexpenses exist, list all of them; with none, replyno expenses.
The supplied code passes every input line to tracker() as one command and prints each returned reply on its own line. Dates are written YYYY-MM-DD, categories are lower-case words, and the input holds only the commands described so far.
Try it yourself
tracker <- function(commands) {
expenses <- data.frame(date = character(0), category = character(0), amount = numeric(0))
replies <- c()
for (cmd in commands) {
parts <- strsplit(cmd, " ")[[1]]
if (parts[1] == "ADD") {
amount <- suppressWarnings(as.numeric(parts[4]))
if (length(parts) != 4 || is.na(amount) || amount <= 0) {
replies <- c(replies, paste("invalid:", cmd))
} else {
expenses <- rbind(expenses, data.frame(date = parts[2], category = parts[3], amount = amount))
replies <- c(replies, sprintf("added %s %.2f", parts[3], amount))
}
} else if (parts[1] == "TOTAL") {
replies <- c(replies, sprintf("total: %.2f, count: %d", sum(expenses$amount), nrow(expenses)))
} else if (parts[1] == "CATEGORY") {
if (nrow(expenses) == 0) {
replies <- c(replies, "no expenses")
} else {
totals <- tapply(expenses$amount, expenses$category, sum)
replies <- c(replies, sprintf("%s: %.2f", names(totals), totals))
}
}
}
replies
}
# Supplied input/output code: keep it as it is
input <- suppressWarnings(readLines(file("stdin")))
cat(tracker(input), sep = "\n")
All lessons in Logic & Flow
1Strings In Depth
Substrings with substr()Formatting with sprintf()Splitting and JoiningSearching StringsReplacing TextRecap - Username Builder4Matrices
Creating MatricesIndexing MatricesRow and Column SummariesMatrix ArithmeticRecap - Seating Chart2Key-Value Lookups
Named Vector LookupsChecking KeysAdding and Removing KeysLooping Over NamesRecap - Stock Desk3Sets and Counting
Unique ValuesSet OperationsMembership TestsCounting with table()Recap - Event Guests6Functions as Values
Anonymous FunctionsPassing FunctionsReturning FunctionsClosures with StateRecap - Discount Rules9Data Frames
Creating Data FramesColumns and RowsFiltering RowsAdding and SortingRecap - Sales Report12Project - Expense Tracker
Recording ExpensesTotal SpendingPractice on your own: Online R compiler