library(tidyverse)
library(readxl)
path <- "300-399/359/CH-359 Replacement.xlsx"
input <- read_excel(path, range = "B3:E10")
test <- read_excel(path, range = "G3:J10")
result = input %>%
add_count(`Customer ID`) %>%
mutate(`Customer ID` = ifelse(n == 1, "Other", `Customer ID`)) %>%
select(-n)
all.equal(result, test)
# [1] TRUEOmid - Challenge 359
data-challenges
advanced-exercises
🔰 Result Question Total Sales Product ID Date Customer ID XNM-13 XNM-07

Challenge Description
🔰 Result Question Total Sales Product ID Date Customer ID XNM-13 XNM-07
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 = "300-399/359/CH-359 Replacement.xlsx"
input = pd.read_excel(path, usecols="B:E", skiprows=2, nrows=8)
test = pd.read_excel(path, usecols="G:J", skiprows=2, nrows=8).rename(columns=lambda col: col.replace(".1", ""))
input["Customer ID"] = input["Customer ID"].where(input["Customer ID"].map(input["Customer ID"].value_counts()) != 1, "Other")
print(input.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.