library(tidyverse)
library(readxl)
path = "files/200-299/283/CH-283 Advanced Sorting.xlsx"
input = read_excel(path, range = "B2:E9")
test = read_excel(path, range = "G2:J9")
result = input %>%
arrange(desc(pmap_dbl(select(., -`Product ID`), ~max(...))),
desc(pmap_dbl(select(., -`Product ID`), ~sort(c(...), TRUE)[2])))
all.equal(result, test, check.attributes = FALSE)
# > [1] TRUEOmid - Challenge 283
data-challenges
advanced-exercises
🔰 Question Result 2023 2024 2025 Product ID MN-11 MN-12

Challenge Description
🔰 Question Result 2023 2024 2025 Product ID MN-11 MN-12
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 = "200-299/283/CH-283 Advanced Sorting.xlsx"
input = pd.read_excel(path, usecols="B:E", skiprows=1, nrows=7)
test = pd.read_excel(path, usecols="G:J", skiprows=1, nrows=7)
test.columns = input.columns
result = input.loc[
input.drop("Product ID", axis=1)
.apply(lambda r: (-r.nlargest(2)).tolist(), axis=1)
.argsort()
].reset_index(drop=True)
print(result.equals(test)) # TrueLogic:
- Reads the workbook ranges needed for the challenge
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.