Omid - Challenge 190

data-challenges
advanced-exercises
🔰 Convert Text to Number!
Published

March 24, 2026

Illustration for Omid - Challenge 190

Challenge Description

🔰 Convert Text to Number!

Solutions

library(tidyverse)
library(readxl)

path = "files/CH-190 Convert Text to number.xlsx"
input = read_excel(path, range = "B2:B5")
test  = read_excel(path, range = "D2:D5")

library(reticulate)
w2n = import("word2number")$w2n

result = input %>%
  mutate(Output = map_dbl(Date, ~w2n$word_to_num(.x))) %>%
  select(Output)

all.equal(result, test, check.attributes = FALSE)
#> [1] TRUE

  • Logic:

    • Reads the workbook ranges needed for the challenge

    • Builds the intermediate columns that drive the final result

  • 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
from word2number import w2n

path = "CH-190 Convert Text to number.xlsx"
input = pd.read_excel(path, usecols="B", skiprows=1, nrows=4)
test = pd.read_excel(path, usecols="D", skiprows=1, nrows=4)

input['Output'] = input.pop('Date').apply(w2n.word_to_num)

print(input.equals(test)) # True

  • Logic:

    • 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 business rule is readable, but the workbook still requires careful implementation to reach the expected layout.