library(tidyverse)
library(readxl)
path = "files/CH-117 Add Index Column.xlsx"
input = read_excel(path, range = "B2:C13")
test = read_excel(path, range = "E2:G13")
result = input %>%
mutate(index = row_number(), .by = Stock)
all.equal(result, test)
#> [1] TRUEOmid - Challenge 117
data-challenges
advanced-exercises
🔰 Challenge 117: Add Index Column!

Challenge Description
🔰 Challenge 117: Add Index Column!
Solutions
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
path = "CH-117 Add Index Column.xlsx"
input = pd.read_excel(path, usecols="B:C", skiprows=1)
test = pd.read_excel(path, usecols="E:G", skiprows=1).rename(columns=lambda x: x.replace(".1", ""))
result = input.assign(index = input.groupby("Stock").cumcount() + 1)
print(result.equals(test)) # TrueLogic:
Reads the workbook ranges needed for the challenge
Aggregates or ranks values at the relevant grouping level
Builds the intermediate columns that drive the final result
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.