Crispo - Excel Challenge 27 2024

excel-challenges
weekly-exercises
Easy Sunday Excel Challenge
Published

July 7, 2024

Illustration for Crispo - Excel Challenge 27 2024

Challenge Description

Easy Sunday Excel Challenge

⭐ SALES Before & After Dates NEW ORDER Easy Sunday Excel Challenge ⭐Get the dates BEFORE and AFTER a NEW ORDER marks for Legacy solutions or PowerQuery Solution

Solutions

library(tidyverse)
library(readxl)

path = "files/Excel Challenge  7th July.xlsx"

input = read_xlsx(path, range = "B3:B20", col_types = "date")
test  = read_xlsx(path, range = "D3:D8")

result = input %>%
  filter((is.na(lag(SALES)) | is.na(lead(SALES))) & (!row_number() %in% c(1, n())))

identical(result$SALES, test$`Before & After Dates`)
#> [1] TRUE

  • Logic:

    • Applies the workbook rule directly and shapes the expected output

  • Strengths:

    • The R solution stays compact and mirrors the workbook logic closely.

  • Areas for Improvement:

    • The code assumes the workbook layout and named ranges remain stable.

  • Gem:

    • The best part of the solution is choosing a tidy intermediate shape before producing the final answer.
import pandas as pd
import numpy as np

path = "files/Excel Challenge  7th July.xlsx"

input = pd.read_excel(path, usecols="B", skiprows = 2, nrows = 17)
test  = pd.read_excel(path, usecols="D", skiprows = 2, nrows = 5)

result = np.where((input["SALES"].shift() == "NEW ORDER") | (input["SALES"].shift(-1) == "NEW ORDER"), 1, 0)
result = input[result == 1].reset_index(drop=True)
result["SALES"] = result["SALES"].astype("datetime64[ns]")

print(result["SALES"].equals(test["Before & After Dates"])) # True

  • Logic:

    • Reads the workbook range needed for the challenge

  • Strengths:

    • The Python version keeps the same rule in a direct pandas-oriented workflow.

  • Areas for Improvement:

    • As with the R version, any workbook layout change would require small adjustments.

  • Gem:

    • The implementation stays close to the stated challenge instead of adding unnecessary complexity.

Difficulty Level

This task is easy to moderate:

  • The business rule is readable, but the workbook still needs a few careful transformation steps.