library(tidyverse)
library(readxl)
path = "files/200-299/293/CH-293 Advanced Sorting.xlsx"
input = read_excel(path, range = "B2:D8")
test = read_excel(path, range = "F2:H8")
result = input %>%
arrange(fct_relevel(Size, "S", "M", "L", "XL", "XXL", "XXXL"))
all.equal(result, test)
# [1] TRUEOmid - Challenge 293
data-challenges
advanced-exercises
🔰 Question Result Product ID MN-11 MN-12 MN-13 MN-14 MN-15

Challenge Description
🔰 Question Result Product ID MN-11 MN-12 MN-13 MN-14 MN-15
Solutions
Logic:
- Reads the workbook ranges needed for the challenge
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
path = "200-299/293/CH-293 Advanced Sorting.xlsx"
input = pd.read_excel(path, usecols="B:D", skiprows=1, nrows=7)
test = pd.read_excel(path, usecols="F:H", skiprows=1, nrows=7).rename(columns=lambda col: col.replace('.1', ''))
sizes = ["S", "M", "L", "XL", "XXL", "XXXL"]
result = input.sort_values("Size", key=lambda x: x.map({s: i for i, s in enumerate(sizes)})).reset_index(drop=True)
print(result.equals(test)) # TrueLogic:
Reads the workbook ranges needed for the challenge
Applies the rule iteratively until the output stabilizes
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 business rule is readable, but the workbook still requires careful implementation to reach the expected layout.