library(tidyverse)
library(readxl)
path = "files/CH-112 Custom Rank.xlsx"
input = read_excel(path, range = "C2:E6")
test = read_excel(path, range = "J2:K6")
result = input %>%
mutate(Rank = rank(desc(`2023` - `2022`))) %>%
arrange(Rank) %>%
select(Rank, Product)
identical(result, test)
# [1] TRUEOmid - Challenge 112
data-challenges
advanced-exercises
🔰 Result Question Rank Product A B C D

Challenge Description
🔰 Result Question Rank Product A B C D
Solutions
Logic:
Reads the workbook ranges needed for the challenge
Builds the intermediate columns that drive the final result
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 = "CH-112 Custom Rank.xlsx"
input = pd.read_excel(path, usecols="C:E", skiprows=1)
input.columns = ["Product", "Y2022", "Y2023"]
test = pd.read_excel(path, usecols="J:K", skiprows=1)
test.columns = ["Rank", "Product"]
result = input.copy()
result = input.assign(diff=input["Y2023"] - input["Y2022"])\
.assign(Rank=lambda x: x["diff"]\
.rank(ascending=False).astype(int))\
.sort_values("Rank")[["Rank", "Product"]]\
.reset_index(drop=True)
print(all(result == test)) # TrueLogic:
Reads the workbook ranges needed for the challenge
Builds the intermediate columns that drive the final result
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.