Excel BI - Excel Challenge 778

excel-challenges
excel-formulas
🔰 Divide the given amount in number of coins such that number of coins used are minimum.
Published

March 24, 2026

Illustration for Excel BI - Excel Challenge 778

Challenge Description

🔰 Divide the given amount in number of coins such that number of coins used are minimum.

Solutions

library(tidyverse)
library(readxl)

path = "Excel/700-799/778/778 Coin Change.xlsx"
input1 = read_excel(path, range = "A2:A9")
input2 = read_excel(path, range = "B2:H2", col_names = FALSE) %>% t() %>% as.numeric()
test  = read_excel(path, range = "B2:H9") %>%
  mutate(across(everything(), ~ replace_na(.x, 0)))

find_coin_comb = function(amount) {
  coins = input2 %>% sort(decreasing = TRUE)
  left = numeric()
  coin_count = setNames(numeric(length(coins)), coins)
  for (coin in coins) {
    if (amount >= coin) {
      count = amount %/% coin
      amount = amount %% coin
      coin_count[as.character(coin)] = count
    }
  }
  coin_count = as.data.frame(coin_count) %>%
    rownames_to_column(var = "coin")
  return(coin_count)
}

result = input1 %>%
  mutate(set = map(Amount, find_coin_comb)) %>%
  unnest(set) %>%
  mutate(coin = as.numeric(coin)) %>%
  pivot_wider(names_from = coin, names_sort = T,  values_from = coin_count, values_fill = NA) %>%
  select(-Amount) 

all.equal(result, test, check.attributes = FALSE) # there are some discrepancies between result and given solution
  • Logic: Read the workbook ranges needed for the challenge; Derive the required intermediate columns; Reshape the result into the workbook output format; Iterate through the sequence until the rule is satisfied.
  • Strengths: The reshaping step mirrors the workbook output closely instead of forcing extra post-processing.
  • Areas for Improvement: The solution assumes the workbook layout and selected ranges remain stable, so any structural change in the sheet would require small adjustments.
  • Gem: The last reshape turns a raw transformation into something that already looks like a report.
import pandas as pd

path = "700-799/778/778 Coin Change.xlsx"
input1 = pd.read_excel(path, usecols="A", skiprows=1, nrows=8)
input2 = pd.read_excel(path, usecols="B:H", nrows=1, header=None, skiprows=1).values.flatten()
test = pd.read_excel(path, usecols="B:H", skiprows=1, nrows=8).fillna(0).astype(int)

def find_coin_comb(amount, coins):
    coins = sorted(coins, reverse=True)
    coin_count = {coin: 0 for coin in coins}
    for coin in coins:
        if amount >= coin:
            count = amount // coin
            amount = amount % coin
            coin_count[coin] = count
    return coin_count

results = []
for amt in input1.iloc[:, 0]:
    comb = find_coin_comb(amt, input2)
    results.append(comb)

result_df = pd.DataFrame(results)[input2]

print(result_df)
print(test)

The Python version keeps the algorithm explicit, which helps when the challenge depends on a greedy or iterative rule.

Difficulty Level

Medium

The individual steps are manageable, but the correct transformation pattern is not obvious from the raw data.