Omid - Challenge 71

data-challenges
advanced-exercises
🔰 : Extract Extract all the emails from the text provided in the question table.
Published

March 24, 2026

Illustration for Omid - Challenge 71

Challenge Description

🔰 : Extract Extract all the emails from the text provided in the question table.

Solutions

library(tidyverse)
library(readxl)

path = "files/CH-071 Extract from Text.xlsx"
input = read_excel(path, range = "B2:B19")
test  = read_excel(path, range = "D2:D11")

email_regex <- "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}"

result = input %>%
  mutate(`Email Address` = str_extract(Text, email_regex)) %>%
  na.omit() %>%
  select(`Email Address`)

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

    • 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

path = "CH-071 Extract from Text.xlsx"
input = pd.read_excel(path, usecols = "B", skiprows = 1)
test  = pd.read_excel(path, usecols = "D", skiprows = 1, nrows = 9)

email_regex = "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}"

input["Email Address"] = input["Text"].str.findall(email_regex)
output = input[input["Email Address"].str.len() > 0]
output["Email Address"] = output["Email Address"].str[0]
output = output.drop(columns="Text").reset_index(drop=True)

print(output.equals(test)) # True

  • Logic:

    • Reads the workbook ranges needed for the challenge

    • Parses the text patterns directly instead of relying on manual cleanup

  • 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.