library(tidyverse)
library(readxl)
path = "Excel/707 Split at Non Alphabetic Delimiters.xlsx"
input = read_excel(path, range = "A1:A10")
test = read_excel(path, range = "B1:B36")
result = input %>%
separate_rows(Sentences, sep = "[^[:alpha:]]+")
all.equal(result$Sentences, test$`Expected Answer`)
#> [1] TRUEExcel BI - Excel Challenge 707
excel-challenges
excel-formulas
🔰 Split the sentences on the basis of non-alphabets and stack them in a column.

Challenge Description
🔰 Split the sentences on the basis of non-alphabets and stack them in a column.
Solutions
- Logic: Read the workbook ranges needed for the challenge; Parse the packed text or string structure.
- 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 = "707 Split at Non Alphabetic Delimiters.xlsx"
input = pd.read_excel(path, usecols="A", nrows=10)
test = pd.read_excel(path, usecols="B", nrows=36)
result = input['Sentences'].str.split(r'[^a-zA-Z]+', expand=True).stack().reset_index(drop=True)
print(result.equals(test['Expected Answer'])) # TrueThe Python version mirrors the same workbook logic with a concise, direct implementation.
Difficulty Level
Easy / Medium
The business rule is clear, though the workbook still needs a few transformation steps to reach the expected output.