library(tidyverse)
library(readxl)
path = "files/Excel Challenge 22nd June.xlsx"
input = read_xlsx(path, range = "B2:B22", col_types = "text")
test = read_xlsx(path, range = "D2:D5")
result <- tibble(
Dates = as.POSIXct(as.Date(as.numeric(input$`Date & Orders`[seq(1, nrow(input), 2)]),
origin = "1899-12-30")),
Values = as.numeric(input$`Date & Orders`[seq(2, nrow(input), 2)])
) %>%
filter(Values < lag(Values)) %>%
select(Dates)
identical(result, test)
# [1] TRUECrispo - Excel Challenge 25 2024
excel-challenges
weekly-exercises
Easy Sunday Excel Challenge

Challenge Description
Easy Sunday Excel Challenge
⭐ Date & Orders Dates Easy Sunday Excel Challenge ⭐Get Dates with orders Less than the previous Date marks for Legacy solutions or PowerQuery Solution
Solutions
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
path = 'files/Excel Challenge 22nd June.xlsx'
input = pd.read_excel(path, skiprows = 1, usecols= "B")
test = pd.read_excel(path, skiprows = 1, usecols= "D", nrows = 3)
input = pd.concat([input.iloc[::2].reset_index(drop=True), input.iloc[1::2].reset_index(drop=True)], axis=1)
input.columns = ['Dates', 'Values']
filtered_data = input[input['Values'] < input['Values'].shift()]
result = filtered_data[['Dates']].astype("datetime64[ns]").reset_index(drop=True)
print(result.equals(test)) # TrueLogic:
- 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.