library(tidyverse)
library(readxl)
path = "files/200-299/247/CH-247 Date Calculation.xlsx"
test = read_excel(path, range = "B2:B14") %>%
mutate(Dates = as.Date(Dates))
result = data.frame(
date = seq(as.Date("2025-01-01"), as.Date("2025-12-01"), by = "month")
) %>%
mutate(
Dates = map(date, ~ date + (8 - wday(date, week_start = 1)) %% 7),
.by = "date"
) %>%
select(Dates) %>%
unnest(Dates)
all.equal(test$Dates, result$Dates)
# [1] TRUEOmid - Challenge 247
data-challenges
advanced-exercises
🔰 Result Dates Challenge 247: Date Calculation!

Challenge Description
🔰 Result Dates Challenge 247: Date Calculation!
Solutions
Logic:
Reads the workbook ranges needed for the challenge
Builds the intermediate columns that drive the final result
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.
from datetime import date, timedelta
import pandas as pd
path = "200-299/247/CH-247 Date Calculation.xlsx"
test = pd.read_excel(path, usecols="B", skiprows=1, nrows=12)
first_mondays = [
d + timedelta((7 - d.weekday()) % 7)
for d in [date(2025, m, 1) for m in range(1, 13)]
]
first_mondays = pd.to_datetime(first_mondays)
first_mondays = pd.DataFrame(first_mondays, columns=["Dates"])
print(test.equals(first_mondays))
# TrueLogic:
Reads the workbook ranges needed for the challenge
Applies the rule iteratively until the output stabilizes
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.