Omid - Challenge 186

data-challenges
advanced-exercises
🔰 Question Result ID ID.1 ID.2 FFm210 MN12 AEIOU123
Published

March 24, 2026

Illustration for Omid - Challenge 186

Challenge Description

🔰 Question Result ID ID.1 ID.2 FFm210 MN12 AEIOU123

Solutions

library(tidyverse)
library(readxl)

path = "files/CH-186 Column Splitting.xlsx"
input = read_excel(path, range = "B2:B8")
test  = read_excel(path, range = "D2:E8") %>%
  mutate_all(~replace_na(., ""))

result = input %>%
  mutate(ID.1 = str_remove_all(ID, "[^aeiouAEIOU]"),
         ID.2 = str_remove_all(ID, "[aeiouAEIOU]")) %>%
  select(-ID)

all.equal(result, test, check.attributes = FALSE)
#> [1] TRUE

  • 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 numpy as np

path = "CH-186 Column Splitting.xlsx"

input = pd.read_excel(path, usecols="B", skiprows=1, nrows=7)
test = pd.read_excel(path, usecols="D:E", skiprows=1, nrows=7).fillna("").astype('str')

input['ID.1'] = input['ID'].str.replace(r'[^aeiouAEIOU]', '', regex=True)
input['ID.2'] = input['ID'].str.replace(r'[aeiouAEIOU]', '', regex=True)
result = input.drop(columns=['ID'])

print(result.equals(test)) # True

  • Logic:

    • 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.