library(tidyverse)
library(readxl)
path <- "Excel/800-899/864/864 Running Total.xlsx"
input <- read_excel(path, range = "A2:B70")
test <- read_excel(path, range = "D2:E14")
result = input %>%
mutate(wday = wday(Date, week_start = 1), Month = month(Date)) %>%
filter(wday <= 5) %>%
summarise(Total = sum(Amount), .by = Month) %>%
reframe(RunningTotal = cumsum(Total))
all.equal(result$RunningTotal, test$`Running Total`, check.attributes = FALSE)
# [1] TRUEExcel BI - Excel Challenge 864
excel-challenges
excel-formulas
🔰 Considering only weekdays (excluding weekends), find the running total month-wise.

Challenge Description
🔰 Considering only weekdays (excluding weekends), find the running total month-wise.
Solutions
- Logic: Read the workbook ranges needed for the challenge; Derive the required intermediate columns; Aggregate or rank the data at the required grouping level.
- Strengths: The code maps the workbook rule into a compact, reproducible pipeline.
- 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 elegant part is how little code is needed once the correct intermediate representation is chosen.
import pandas as pd
input_df = pd.read_excel("Excel/800-899/864/864 Running Total.xlsx", usecols="A:B", skiprows=1, nrows=69)
test_df = pd.read_excel("Excel/800-899/864/864 Running Total.xlsx", usecols="D:E", skiprows=1, nrows=12)
input_df["wday"] = input_df["Date"].dt.weekday
input_df["Month"] = input_df["Date"].dt.month
input_df = input_df[input_df["wday"] <= 4]
monthly_totals = input_df.groupby("Month", as_index=False)["Amount"].sum()
monthly_totals["RunningTotal"] = monthly_totals["Amount"].cumsum()
print(monthly_totals['RunningTotal'].equals(test_df['Running Total'])) # TrueThe Python version follows the same grouped logic and keeps the transformation explicit in a dataframe pipeline.
Difficulty Level
Easy / Medium
The business rule is clear, though the workbook still needs a few transformation steps to reach the expected output.