Spending by Category
Part of the Logic & Flow section of Coddy's R journey. Lesson 59 of 64.
Challenge
EasyAdd the CATEGORY command. Keep every command from the previous steps working exactly as before.
CATEGORY: reply with one line per category in alphabetical order,food: 20.50, with the category's total to two decimals. With nothing recorded, replyno expenses.
One CATEGORY command produces several replies, and each is printed on its own line.
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)))
}
}
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