Excel BI - Excel Challenge 780

excel-challenges
excel-formulas
🔰 Find the profit (Revenue - Cost) for Orgs for various years.
Published

March 24, 2026

Illustration for Excel BI - Excel Challenge 780

Challenge Description

🔰 Find the profit (Revenue - Cost) for Orgs for various years.

Solutions

library(tidyverse)
library(readxl)

path = "Excel/700-799/780/780 Profit.xlsx"
input = read_excel(path, range = "A2:D10")
test  = read_excel(path, range = "F2:I6")

result = input %>%
  fill(Org) %>%
  mutate(Profit = Revenue - Cost) %>%
  select(Org, Year, Profit) %>%
  pivot_wider(
    names_from = Year,
    values_from = Profit,
    values_fn = sum
  ) %>%
  select(Org, `2011`, `2012`, `2013`)

all.equal(result, test)
# > [1] TRUE
  • Logic: Read the workbook ranges needed for the challenge; Derive the required intermediate columns; Reshape the result into the workbook output format.
  • Strengths: The reshaping step mirrors the workbook output closely instead of forcing extra post-processing.
  • Areas for Improvement: The solution assumes the workbook layout and selected ranges remain stable, so any structural change in the sheet would require small adjustments.
  • Gem: The last reshape turns a raw transformation into something that already looks like a report.
import pandas as pd

path = "700-799/780/780 Profit.xlsx"
input = pd.read_excel(path, usecols="A:D", nrows=9, skiprows=1)
test = pd.read_excel(path, usecols="F:I", nrows=4, skiprows=1).rename(columns={'Org.1': 'Org'}).astype({2011: float, 2012: float, 2013: float})

result = (
    input.ffill()
    .assign(Profit=lambda df: df['Revenue'] - df['Cost'])
    .pivot_table(index='Org', columns='Year', values='Profit', aggfunc='sum')
    .reset_index()[['Org', 2011, 2012, 2013]]
    .astype({2011: float, 2012: float, 2013: float})
)
result.columns.name = None

print(result.equals(test)) # True

The Python version mirrors the same workbook logic with a concise, direct implementation.

Difficulty Level

Medium

The individual steps are manageable, but the correct transformation pattern is not obvious from the raw data.