Omid - Challenge 218

data-challenges
advanced-exercises
🔰 Question Result ID Uppercase Lowercase AbCDe ACD be
Published

March 24, 2026

Illustration for Omid - Challenge 218

Challenge Description

🔰 Question Result ID Uppercase Lowercase AbCDe ACD be

Solutions

library(tidyverse)
library(readxl)

path = "files/CH-218 Column Splitting.xlsx"
input = read_excel(path, range = "B2:B7")
test  = read_excel(path, range = "D2:E7")

result = input %>%
  mutate(
    Uppercase = map_chr(str_extract_all(ID, "[A-Z]+"), ~ paste(.x, collapse = "")),
    Lowercase = map_chr(str_extract_all(ID, "[a-z]+"), ~ paste(.x, collapse = "")))

  • 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 = "CH-218 Column Splitting.xlsx"
input_data = pd.read_excel(path, usecols="B", skiprows=1, nrows=6)
test_data = pd.read_excel(path, usecols="D:E", skiprows=1, nrows=6)

input_data["Uppercase"] = input_data["ID"].apply(lambda x: "".join(re.findall(r"[A-Z]+", x)))
input_data["Lowercase"] = input_data["ID"].apply(lambda x: "".join(re.findall(r"[a-z]+", x)))

print(input_data)

  • 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.