library(tidyverse)
library(readxl)
path = "files/2025-06-22/Challenge 36.xlsx"
input = read_excel(path, range = "B3:C7")
test = read_excel(path, range = "E3:F11")
result = input %>%
separate_longer_delim(Students, delim = ", ")
all.equal(test, result, check.attributes = FALSE)
#> [1] TRUECrispo - Excel Challenge 25 2025
excel-challenges
weekly-exercises
Easy Sunday Excel Challenge

Challenge Description
Easy Sunday Excel Challenge
⭐ Problem Solution Students Subject Student Easy Sunday Excel Challenge
Solutions
Logic:
Reads the workbook range needed for the challenge
Reshapes the data to the grain required by the task
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/2025-06-22/Challenge 36.xlsx"
input = pd.read_excel(path, usecols="B:C", skiprows=2, nrows=4)
test = (
pd.read_excel(path, usecols="E:F", skiprows=2, nrows=8)
.rename(columns=lambda col: col.replace('.1', ''))
)
result = (
input
.assign(Student=input['Students'].str.split(', '))
.explode('Student')
.reset_index(drop=True)
[['Student', 'Subject']]
)
print(result.equals(test))Logic:
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.