Crispo - Excel Challenge 37 2024

excel-challenges
weekly-exercises
Easy Sunday Excel Challenge
Published

September 15, 2024

Illustration for Crispo - Excel Challenge 37 2024

Challenge Description

Easy Sunday Excel Challenge

⭐ ⭐Group the staff to their respective salary ranges

Solutions

library(tidyverse)
library(readxl)

path = "files/Excel Challenge September 15th.xlsx"
input = read_excel(path, range = "B2:C9")
test  = read_excel(path, range = "E2:F6") %>% na.omit()

result = input %>%
  mutate(`Salary Range` = cut(x = Salary, 
                      breaks = c(-Inf, 1000, 5000, 10000, 15000, Inf), 
                      labels = c("<1000", "1000 - 4999", "5000 - 9999", "10000 - 14999", "> 15000"))) %>%
  summarise(Staffs = paste0(Staff, collapse = ", "), 
            .by = `Salary Range`)

cbind(result, test)
# identical, order of names in concatenation is different.

  • Logic:

    • Reads the workbook range needed for the challenge

    • Aggregates or ranks values at the correct grouping level

    • Builds the intermediate helper columns that drive the final answer

  • 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/Excel Challenge September 15th.xlsx"

input = pd.read_excel(path, usecols = "B:C", skiprows = 1, nrows = 7)
test = pd.read_excel(path, usecols = "E:F", skiprows = 1, nrows = 4).fillna("")

result = input.assign(Salary_Range = lambda x: pd.cut(x["Salary"], 
                                                      bins = [1000, 5000, 10000, 15000, 100000], 
                                                      labels = ["1000 - 4999", "5000 - 9999", "10000 - 14999", "> 15000"]))
result = result.groupby("Salary_Range")["Staff"].apply(lambda x: ", ".join(x)).reset_index(name="Staffs")

print(result)
print(test)
# sorting names in one cell is not the same.

  • Logic:

    • Reads the workbook range needed for the challenge

    • Aggregates or ranks values at the correct grouping level

    • Builds the intermediate helper columns that drive the final answer

  • 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.