Crispo - Excel Challenge 35 2025

excel-challenges
weekly-exercises
Easy Sunday Excel Challenge
Published

August 31, 2025

Illustration for Crispo - Excel Challenge 35 2025

Challenge Description

Easy Sunday Excel Challenge

⭐ ⭐Filter Customers Missing all Data

Solutions

library(tidyverse)
library(readxl)

path = "files/2025-08-31/Challenge 53.xlsx"
input = read_excel(path, range = "B2:E8")
test  = read_excel(path, range = "G2:G4") %>% pull()

result = input %>%
  filter(if_all(-Customer, is.na)) %>%
  pull(Customer)

all.equal(result, test)

  • Logic:

    • Reads the workbook range needed for the challenge

  • Strengths:

    • The R solution stays compact and mirrors the workbook logic closely.

  • Areas for Improvement:

    • The code assumes the workbook layout and named ranges remain stable.

  • Gem:

    • The best part of the solution is choosing a tidy intermediate shape before producing the final answer.
import pandas as pd

path = "files/2025-08-31/Challenge 53.xlsx"
input = pd.read_excel(path, usecols="B:E", skiprows=1, nrows=6)
test = pd.read_excel(path, usecols="G", skiprows=1, nrows=2).squeeze().tolist()

result = input[input.drop('Customer', axis=1).isna().all(axis=1)]['Customer'].tolist()

print(test == result) # True

  • Logic:

    • Reads the workbook range needed for the challenge

  • Strengths:

    • The Python version keeps the same rule in a direct pandas-oriented workflow.

  • Areas for Improvement:

    • As with the R version, any workbook layout change would require small adjustments.

  • Gem:

    • The implementation stays close to the stated challenge instead of adding unnecessary complexity.

Difficulty Level

This task is easy to moderate:

  • The business rule is readable, but the workbook still needs a few careful transformation steps.