library(tidyverse)
library(readxl)
input = read_excel("files/CH-045 Text Split.xlsx", range = "B2:B17")
test = read_excel("files/CH-045 Text Split.xlsx", range = "D2:H17")
split = function(text) {
pattern = "(\\D+|\\d+)"
result = str_extract_all(text, pattern, simplify = TRUE) %>%
as_tibble()
return(result)
}
result = input$ID %>%
map_dfr(split) %>%
mutate(across(c(2,4), as.numeric))
colnames(result) = colnames(test)
identical(result, test)
# [1] TRUEOmid - Challenge 45
data-challenges
advanced-exercises
🔰 Result UD1OP3PL EL8DC6JK TO1TS9RU QB6JT5SA NG6GM5 RE4EA3R PN6PU

Challenge Description
🔰 Result UD1OP3PL EL8DC6JK TO1TS9RU QB6JT5SA NG6GM5 RE4EA3R PN6PU
Solutions
Logic:
Reads the workbook ranges needed for the challenge
Builds the intermediate columns that drive the final result
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
input = pd.read_excel("CH-045 Text Split.xlsx", usecols="B", skiprows=1)
test = pd.read_excel("CH-045 Text Split.xlsx", usecols="D:H", skiprows=1)
split_text = input['ID'].str.extractall(r'(\D+|\d+)')
split_text = split_text.unstack().droplevel(0, axis=1)
split_text.columns = test.columns
split_text['Part 2'] = split_text['Part 2'].astype('int64')
split_text['Part 4'] = split_text['Part 4'].astype('float64')
print(split_text.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 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.