Challenge No. 667: Pivot the data as shown.
Solved using: Python.
Date.Month
Extracts the month from a date value in Power Query.
Transpose table, compute gross profit
Challenge No. 278: Transpose the table as shown where sum of amount shown is gross profit which is Revenue – Cost.
Solved using: Python.
Monthly Running Max Total
Challenge No. 198: Find the running total on the basis of max value for the month.
Solved using: Python.
Group Per Month
Challenge No. 60: Group the customers per month.
Solved using: Python.
Monthly Per Diem Calculation
Challenge No. 149: The data is for business trip start and end dates of employees.
Solved using: Python.
Custom Grouping! Part 15
Challenge No. 173: The Question table contains transactions recorded on different dates.
Solved using:Excel (HSTACK, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Date.Month, Table.AddIndexColumn), Python, Python in Excel, and R.
Filter Last Transaction!
Challenge No. 158: From the question table, extract the last transaction per product for each month.
Solved using:Excel (DROP, FILTER, GROUPBY), Google Sheets, Power Query (Date.Month, Table.AddColumn, Table.Combine), Python, Python in Excel, and R.
First Date Of Months!
Challenge No. 144: From the provided “transactions” table, filter the first transaction for each.
Solved using:Excel (DROP, FILTER, LAMBDA), Google Sheets, Power Query (Date.Month, Table.AddColumn, Table.Group), Python, Python in Excel, and R.
Periodic Sales Summary!
Challenge No. 138: Based on the “transactions” table, summarize the sales for each month by breaking them into three periods:
P1: First 10 days of the month
P2: From the 11th to the 20th
P3: From the 21st onward.
Solved using:Excel (DAY, DROP, HSTACK), Google Sheets, Power Query (Date.Month, List.Distinct, Table.AddColumn), Python, Python in Excel, and R.
Custom Grouping! Part 7
Challenge No. 133: Group the monthly sales values into three categories based on the following logic and provide one of the result tables:
Group 1: 1st to 10th of the month
Group 2: 11th to 20th of the month
Group 3: 21st to the end of the month.
Solved using:Excel (DATE, DAY, DROP), Google Sheets, Power Query (Table.Group, Date.Month, Table.AddColumn), Python, Python in Excel, and R.