library(tidyverse)
library(readxl)
path = "files/Excel Challenge Nov 24th.xlsx"
input = read_excel(path, range = "B2:B14")
result = input %>%
mutate(cond_form = ifelse(str_detect(Items, "\\D+ \\d+ \\D+ \\d+", negate = T), "Yes", ""))Crispo - Excel Challenge 47 2024

Challenge Description
Easy Sunday Excel Challenge
⭐ Group 1 items Header Of Each Group Group 1 items 1 Group 1 items 21 Group 1 items 300 Group 1 items 450
Solutions
Logic:
Reads the workbook range needed for the challenge
Builds the intermediate helper columns that drive the final answer
Uses direct text-pattern extraction instead of manual cleanup
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
import re
path = "Excel Challenge Nov 24th.xlsx"
input_data = pd.read_excel(path, usecols="B", skiprows=1, nrows=13)
pattern = r"\D+ \d+ \D+ \d+"
result = input_data.assign(cond_form=input_data["Items"].map(lambda x: "" if re.fullmatch(pattern, str(x)) else "Yes"))
print(result)Logic:
Reads the workbook range needed for the challenge
Builds the intermediate helper columns that drive the final answer
Uses direct text-pattern extraction instead of manual cleanup
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 moderate:
It combines familiar Excel-style logic with at least one non-trivial reshape, grouping, or parsing step.
The answer depends on getting the output layout exactly right.