library(tidyverse)
library(readxl)
path = "Excel/722 Remove the Minimum Row.xlsx"
input = read_excel(path, range = "A2:B12")
test = read_excel(path, range = "D2:E8")
result = input %>%
filter(Amount != min(Amount), .by = Product)
all.equal(result, test)
#> [1] TRUEExcel BI - Excel Challenge 722
excel-challenges
excel-formulas
🔰 Remove the row which contains minimum amount in a group.

Challenge Description
🔰 Remove the row which contains minimum amount in a group.
Solutions
- Logic: Read the workbook ranges needed for the challenge; Aggregate or rank the data at the required grouping level.
- Strengths: The code maps the workbook rule into a compact, reproducible pipeline.
- Areas for Improvement: The solution assumes the workbook layout and selected ranges remain stable, so any structural change in the sheet would require small adjustments.
- Gem: The elegant part is how little code is needed once the correct intermediate representation is chosen.
import pandas as pd
path = "700-799/722/722 Remove the Minimum Row.xlsx"
input = pd.read_excel(path, usecols="A:B", skiprows=1, nrows=11)
test = pd.read_excel(path, usecols="D:E", skiprows=1, nrows=6).rename(columns=lambda col: col.replace('.1', ''))
filtered = input.drop(input.groupby('Product')['Amount'].idxmin()).reset_index(drop=True)
print(filtered.equals(test)) # TrueThe Python version follows the same grouped logic and keeps the transformation explicit in a dataframe pipeline.
Difficulty Level
Easy / Medium
The business rule is clear, though the workbook still needs a few transformation steps to reach the expected output.