library(tidyverse)
library(readxl)
path = "Excel/700-799/744/744 Capitalize the Consonant After a Vowel.xlsx"
input = read_excel(path, range = "A1:A10")
test = read_excel(path, range = "B1:B10")
pattern = "(?<=([aeiou])[0-9]?)([b-df-hj-np-tv-z])"
result = input %>%
mutate(`Expected Answer` = map_chr(Strings, ~ {
str_replace_all(.x, pattern, function(x) {
toupper(x)
})
}))
all.equal(result$`Expected Answer`, test$`Expected Answer`, check.attributes = FALSE)
# [1] TRUEExcel BI - Excel Challenge 744
excel-challenges
excel-formulas
🔰 Strings Expected Answer a4jtr a4Jtr wqt8u m5a2yq m5a2Yq x1ioudy x1iouDy 1ayoziiop

Challenge Description
🔰 Strings Expected Answer a4jtr a4Jtr wqt8u m5a2yq m5a2Yq x1ioudy x1iouDy 1ayoziiop
Solutions
- Logic: Read the workbook ranges needed for the challenge; Derive the required intermediate columns.
- 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
import re
path = "700-799/744/744 Capitalize the Consonant After a Vowel.xlsx"
input = pd.read_excel(path, usecols="A", nrows=10)
test = pd.read_excel(path, usecols="B", nrows=10)
pattern = r'([aeiou][0-9]?)([b-df-hj-np-tv-z])'
def capitalize_consonant(s):
return re.sub(pattern, lambda m: m.group(1) + m.group(2).upper(), s, flags=re.IGNORECASE)
input['Expected Answer'] = input.iloc[:,0].apply(capitalize_consonant)
input.drop(columns=input.columns[0], inplace=True)
print(input.equals(test)) # TrueThe Python version expresses the core extraction rule directly and keeps the pattern matching easy to review.
Difficulty Level
Easy / Medium
The business rule is clear, though the workbook still needs a few transformation steps to reach the expected output.