library(tidyverse)
library(readxl)
path = "files/200-299/252/CH-252 Switching Value.xlsx"
input = read_excel(path, range = "C2:D9")
test = read_excel(path, range = "F2:G9")
result = input %>%
mutate(Importance = recode(Importance,
"Very low" = 1,
"Low" = 2,
"Moderate" = 3,
"High" = 4,
"Very high" = 5))
all.equal(result, test)
#> [1] TRUEOmid - Challenge 252
data-challenges
advanced-exercises
🔰 Result Question Factor Importance F1 F2 F3 F4

Challenge Description
🔰 Result Question Factor Importance F1 F2 F3 F4
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 = "200-299/252/CH-252 Switching Value.xlsx"
input = pd.read_excel(path, usecols="C:D", skiprows=1, nrows=8)
test = pd.read_excel(path, usecols="F:G", skiprows=1, nrows=8).rename(columns=lambda x: x.replace('.1', ''))
result = input.copy()
result['Importance'] = result['Importance'].str.strip().replace({
"Very low": 1, "Low": 2, "Moderate": 3, "High": 4, "Very high": 5
})
print(result.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.