Challenge No. 172: Find the total commission paid to each agent along with a Grand Total row.
Solved using: R.
Table.Combine
Merges multiple tables into a single table in Power Query.
Department Totals and Summary
Challenge No. 165: Insert the total row containing count of employees and sum of salary at the bottom of each dept groups.
Solved using: R.
Fill Down and Up by Customer
Challenge No. 147: Fill down / up all 4 columns for different customer IDs.
Solved using: Python.
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.
Table Transformation! Part 18
Challenge No. 157: Transform the question structure into the result structure.
Solved using:Excel (HSTACK, INDEX, LAMBDA), Google Sheets, Power Query (List.Split, List.Transform, Text.Split), Python, Python in Excel, and R.
Filter Dates!
Challenge No. 148: For each customer, filter their first, last, and middle transactions from the provided “transactions” table.
Solved using:Excel (CHOOSEROWS, DROP, FILTER), Google Sheets, Power Query (Table.Combine, Table.Group), Python, Python in Excel, and R.
Column Splitting! Part 2
Challenge No. 146: Split the IDs from the beginning of the text up to the “|” character in each occurrence of “|”.
Solved using:Excel (IFNA, LAMBDA, LEN), Google Sheets, Power Query (List.Transform, Text.Combine, Text.Split), Python, Python in Excel, R, and VBA.
Custom Splitter!
Challenge No. 63: In the Question table, sales information including Date, Product Name, and Quantity is provided without any separators.
Solved using:Excel (CHAR, HSTACK, LAMBDA), Power Query (List.Contains, Table.Combine, Table.FromRows), Python, R, and VBA.
Combine Tables
Challenge No. 44: The question tables display product sales across various regions for the different months of spring.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (List.Distinct, Table.Column, Table.ColumnNames), Python, and R.