Omid - Challenge 67

data-challenges
advanced-exercises
🔰 Question ID Ref 1 Ref 2 Ref 3 Ref 4 Ref 5 Ref 6 Index 1
Published

March 24, 2026

Illustration for Omid - Challenge 67

Challenge Description

🔰 Question ID Ref 1 Ref 2 Ref 3 Ref 4 Ref 5 Ref 6 Index 1

Solutions

library(tidyverse)
library(readxl)

input = read_excel("files/CH-067 Index Selections.xlsx", range = "B2:H17")
test  = read_excel("files/CH-067 Index Selections.xlsx", range = "J2:J7")

result = input %>%
  rowwise() %>%
  filter(sum(c_across(2:7) <= 7, na.rm = TRUE) >= 2) %>%
  ungroup() %>%
  select(`Selected Indexes` = 1)
  
identical(result, test)
#> [1] TRUE

  • 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

input = pd.read_excel("CH-067 Index Selections.xlsx", usecols="B:H", skiprows= 1, nrows = 15)
test  = pd.read_excel("CH-067 Index Selections.xlsx", usecols="J", skiprows=1, nrows = 5)

result = input[(input.iloc[:, 1:6] <= 7).sum(axis=1) >= 2].iloc[:,0].reset_index(drop=True)

print(result.tolist() == test.iloc[:,0].tolist()) # 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.