library(tidyverse)
library(readxl)
path = "files/CH-131 Table Transformation.xlsx"
input = read_excel(path, range = "C2:I7")
test = read_excel(path, range = "K2:N12")
result = bind_rows(input[,1:4], input[,c(1,5:7)])
all.equal(result, test)
#> [1] TRUEOmid - Challenge 131
data-challenges
advanced-exercises
🔰 Table Transformation!

Challenge Description
🔰 Table Transformation!
Solutions
Logic:
- Reads the workbook ranges needed for the challenge
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-131 Table Transformation.xlsx"
input = pd.read_excel(path, usecols="C:I", skiprows=1, nrows=5).rename(columns=lambda x: x.replace('.1', ''))
test = pd.read_excel(path, usecols="K:N", skiprows=1, nrows=11).rename(columns=lambda x: x.replace('.1', '').replace('.2', ''))
result = pd.concat([input.iloc[:, :4], input.iloc[:, [0, 4, 5, 6]]], axis=0).reset_index(drop=True)
print(result.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 business rule is readable, but the workbook still requires careful implementation to reach the expected layout.