library(tidyverse)
library(readxl)
path = "files/300-399/304/CH-304 Reverse Substrings Between Dashes.xlsx"
input = read_excel(path, range = "B1:B6")
test = read_excel(path, range = "C1:C6")
reverse_segments <- function(s) {
str_replace_all(s, "(?<=-)\\w+(?=-)",
~str_c(rev(str_split(.x, "", simplify = TRUE)), collapse = ""))
}
result = input %>%
mutate(Result = map_chr(Question, ~ reverse_segments(.)))
all.equal(result$Result, test$Result)
## [1] TRUEOmid - Challenge 304
data-challenges
advanced-exercises
🔰 Question Result AB-XYZ-CD AB-ZYX-CD 12-345-67 12-543-67 X-ABC-Y X-CBA-Y

Challenge Description
🔰 Question Result AB-XYZ-CD AB-ZYX-CD 12-345-67 12-543-67 X-ABC-Y X-CBA-Y
Solutions
Logic:
Reads the workbook ranges needed for the challenge
Builds the intermediate columns that drive the final result
Parses the text patterns directly instead of relying on manual cleanup
Strengths:
- The R solution stays close to the workbook rule and keeps the transformation compact.
Areas for Improvement:
- The code assumes the sheet structure and source ranges remain stable.
Gem:
- The strongest part of the solution is choosing the right intermediate representation before shaping the final output.
import pandas as pd
import re
path = "300-399/304/CH-304 Reverse Substrings Between Dashes.xlsx"
input = pd.read_excel(path, usecols="B", nrows=6)
test = pd.read_excel(path, usecols="C", nrows=6)
input['Result'] = input.iloc[:, 0].apply(
lambda s: re.sub(r'(?<=-)\w+(?=-)', lambda m: m.group(0)[::-1], s)
)
print(input['Result'].equals(test['Result'])) # TrueLogic:
Reads the workbook ranges needed for the challenge
Parses the text patterns directly instead of relying on manual cleanup
Strengths:
- The Python version follows the same rule in a direct dataframe-oriented implementation.
Areas for Improvement:
- The code assumes the workbook layout remains stable, so any sheet redesign would require small adjustments.
Gem:
- The implementation stays close to the original workbook rule instead of adding unnecessary abstraction.
Difficulty Level
This task is moderate:
The core logic is clear, but the correct transformation pattern is not obvious from the raw input.
The challenge combines multiple reshaping, grouping, or parsing steps.