library(tidyverse)
library(readxl)
path = "files/Excel Challenge 29th Dec.xlsx"
input = read_excel(path, range = "B2:B9")
test = read_excel(path, range = "D2:D15")
result = input %>%
separate_rows(Problem, sep = "") %>%
filter(Problem != "")
all.equal(result, test, check.attributes = FALSE)
#> [1] TRUECrispo - Excel Challenge 52 2024
excel-challenges
weekly-exercises
Easy Sunday Excel Challenge

Challenge Description
Easy Sunday Excel Challenge
⭐ ⭐Split the group of texts into single characters
Solutions
Logic:
- Reads the workbook range needed for the challenge
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 29th Dec.xlsx"
input = pd.read_excel(path, usecols="B", skiprows=1, nrows=8)
test = pd.read_excel(path, usecols="D", skiprows=1, nrows=14)
input = input.dropna().assign(Problem=input['Problem'].str.split('')).explode('Problem').query('Problem != ""').reset_index(drop=True)
print(input['Problem'].equals(test['Solution Required'])) # 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.