library(tidyverse)
library(readxl)
path = "files/Excel Challenge October 17th.xlsx"
input = read_excel(path, range = "B2:D16")
test = read_excel(path, range = "E2:E16")
result = input %>%
mutate(group = consecutive_id(Defects)) %>%
mutate(`Running Totals` = ifelse(Defects != 1, cumsum(`Units Made`), 0), .by = group)
all.equal(result$`Running Totals`, test$`Running Totals`)
# [1] TRUECrispo - Excel Challenge 46 2024
excel-challenges
weekly-exercises
Easy Sunday Excel Challenge

Challenge Description
Easy Sunday Excel Challenge
⭐ Problem Date Units Made Defects Running Totals Easy Sunday Excel Challenge
Solutions
Logic:
Reads the workbook range needed for the challenge
Builds the intermediate helper columns that drive the final answer
Strengths:
- The R solution stays compact and mirrors the workbook logic closely.
Areas for Improvement:
- The code assumes the workbook layout and named ranges remain stable.
Gem:
- The best part of the solution is choosing a tidy intermediate shape before producing the final answer.
import pandas as pd
path = "files/Excel Challenge October 17th.xlsx"
input = pd.read_excel(path, usecols="B:D", skiprows=1, nrows=15)
test = pd.read_excel(path, usecols="E", skiprows=1, nrows=15)
input['group'] = (input['Defects'] != input['Defects'].shift()).cumsum()
input['Running Totals'] = input.groupby('group')['Units Made'].cumsum().where(input['Defects'] != 1, 0)
print(input['Running Totals'].eq(test['Running Totals']).all()) # TrueLogic:
Reads the workbook range needed for the challenge
Aggregates or ranks values at the correct grouping level
Strengths:
- The Python version keeps the same rule in a direct pandas-oriented workflow.
Areas for Improvement:
- As with the R version, any workbook layout change would require small adjustments.
Gem:
- The implementation stays close to the stated challenge instead of adding unnecessary complexity.
Difficulty Level
This task is easy to moderate:
- The business rule is readable, but the workbook still needs a few careful transformation steps.