Grouping data based on custom logic
Challenge No. 197: Group the rows sequentially from the top, ensuring that each group contains exactly one missing date.
Solved using:Excel (IF, LET, SCAN), Google Sheets, Power Query (Table.Group, Table.AddIndexColumn), Python, Python in Excel, and R.
Challenge No. 193: Separate sales into weekday sales (Mon-Fri) and weekend sales (Sat-Sun).
Solved using:Excel (DAY, FILTER, GROUPBY), Google Sheets, Power Query (Table.Group, Date.DayOfWeek, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 187: Group the rows until encountering a missing date.
Solved using:Excel (DROP, GROUPBY, IF), Google Sheets, Power Query (Table.Group, Table.AddColumn, Table.AddIndexColumn), Python, Python in Excel, and R.
Challenge No. 176: Group every five rows of the question table and then provide some of quantity for each group.
Solved using:Excel (GROUPBY, HSTACK, LAMBDA), Google Sheets, Power Query (Table.Group, List.Transform, Table.AddIndexColumn), Python, Python in Excel, and R.
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.
Challenge No. 168: The stock prices for the given dates are provided in the question table.
Solved using:Excel (IF, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Table.AddIndexColumn, Table.ExpandTableColumn), Python, Python in Excel, and R.
Challenge No. 165: Based on monthly transactions, categorize each customer for each month into one of the following groups:
New: A customer who has never made a purchase in previous months.
Solved using:Excel (FILTER, HSTACK, IF), Google Sheets, Power Query (Table.Group, List.Difference, List.Distinct), Python, and R.
Challenge No. 163: Convert the monthly sales data from the Question table into seasonal sales as shown in the Result table.
Solved using:Excel (FILTER, GROUPBY, HSTACK), Google Sheets, Power Query (Table.Group, Table.AddColumn, Table.Group), Python, Python in Excel, and R.
Challenge No. 161: Extract the list of dates associated with each product and display them under each other in separate columns.
Solved using:Excel (DROP, FILTER, HSTACK), Google Sheets, Power Query (Table.Group), Python, Python in Excel, and R.
Challenge No. 153: The table includes two columns, From and To, where each row represents a range of dates.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (Table.Group), Python, Python in Excel, and R.
