library(tidyverse)
library(readxl)
path <- "300-399/382/CH-382 Filter.xlsx"
input <- read_excel(path, range = "B3:B10")
test <- read_excel(path, range = "F3:F9")
is_valid = function(s) {
nums = str_extract_all(s, "[1-9]")[[1]] %>% as.numeric()
num_prod = prod(nums)
num_sum = sum(nums)
return(num_prod %% 4 == 0 || num_sum %% 3 == 0)
}
result = input %>%
filter(map_lgl(ID, is_valid))
all.equal(result$ID, test$ID)
# [1] TRUEOmid - Challenge 382
data-challenges
advanced-exercises
🔰 Challenge 382: Filter!

Challenge Description
🔰 Challenge 382: Filter!
Solutions
Logic:
Reads the workbook ranges needed for the challenge
Parses the text patterns directly instead of relying on manual cleanup
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
import re
from math import prod
path = "300-399/382/CH-382 Filter.xlsx"
input = pd.read_excel(path, usecols="B", skiprows=2, nrows=8)
test = pd.read_excel(path, usecols="F", skiprows=2, nrows=6)
def is_valid(s):
nums = [int(d) for d in re.findall(r"[1-9]", str(s))]
num_prod = prod(nums)
num_sum = sum(nums)
return num_prod % 4 == 0 or num_sum % 3 == 0
result = input[input["ID"].apply(is_valid)].reset_index(drop=True)
print(result["ID"].equals(test.iloc[:, 0]))
# TrueLogic:
Reads the workbook ranges needed for the challenge
Parses the text patterns directly instead of relying on manual cleanup
Applies the rule iteratively until the output stabilizes
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 core logic is clear, but the correct transformation pattern is not obvious from the raw input.
The challenge combines multiple reshaping, grouping, or parsing steps.