library(tidyverse)
library(readxl)
path = "files/Excel Challenge October 6th.xlsx"
input1 = read_excel(path, range = "B2:C5") %>% mutate(id = 1)
input2 = read_excel(path, range = "E2:E6") %>% mutate(id = 1)
test = read_excel(path, range = "G2:I14")
result = input1 %>%
full_join(input2, by = "id") %>%
select(Staff, PPE, Size)
all.equal(result, test)
# [1] TRUECrispo - Excel Challenge 40 2024
excel-challenges
weekly-exercises
Easy Sunday Excel Challenge

Challenge Description
Easy Sunday Excel Challenge
⭐ Staff PPE PPE REPORT Size Easy Sunday Excel Challenge Aiden
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 6th.xlsx"
input1 = pd.read_excel(path, usecols="B:C", skiprows=1, nrows=3).assign(id=1)
input2 = pd.read_excel(path, usecols="E", skiprows=1, nrows=4).assign(id=1)
test = pd.read_excel(path, usecols="G:I", skiprows=1, nrows=13).rename(columns=lambda x: x.replace('.1', ''))
result = pd.merge(input1, input2, on="id", how="outer")[['Staff', 'PPE', 'Size']]
print(result.equals(test)) # TrueLogic:
Reads the workbook range needed for the challenge
Builds the intermediate helper columns that drive the final answer
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.