library(tidyverse)
library(readxl)
path = "Excel/700-799/740/740 Count Blanks.xlsx"
input = read_excel(path, sheet = "Sheet2", range = "A2:A40")
test = read_excel(path, sheet = "Sheet2", range = "B2:C10")
result = input %>%
fill(Data) %>%
summarise(`Blanks Count` = n() - 1, .by = Data)
all.equal(result$`Blank Counts`, test$`Blanks Count`)
# TRUEExcel BI - Excel Challenge 740
excel-challenges
excel-formulas
🔰 Count the number of blanks following alphabets and list count against alphabets.

Challenge Description
🔰 Count the number of blanks following alphabets and list count against alphabets.
Solutions
- Logic: Read the workbook ranges needed for the challenge; Aggregate or rank the data at the required grouping level.
- 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
path = "700-799/740/740 Count Blanks.xlsx"
input = pd.read_excel(path, sheet_name="Sheet2", usecols="A", skiprows=1, nrows=39)
test = pd.read_excel(path, sheet_name="Sheet2", usecols="B:C", skiprows=1, nrows=8)
result = input.ffill().groupby('Data').size().sub(1).reset_index(name='Blanks Count')
print(result['Blanks Count'].equals(test['Blanks Count']))The Python version follows the same grouped logic and keeps the transformation explicit in a dataframe pipeline.
Difficulty Level
Easy / Medium
The business rule is clear, though the workbook still needs a few transformation steps to reach the expected output.