Challenge No. 166: In the provided table, the Date Time values correspond to different time zones (specified in the column GMT From).
Solved using:Excel (BYROW, HSTACK, LAMBDA), Google Sheets, Power Query (Text.End), Python, Python in Excel, and R.
Python
Python programming for data analysis
Custom Grouping! Part 13
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.
Extract From Text! Part 6
Challenge No. 164: In Power Query, a list is defined by { } and can contain sublists, such as {1, 2, {3, 4}}.
Solved using:Excel, Google Sheets, Power Query, Python, and R.
Custom Grouping! Part 12
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.
Extract From Text! Part 5
Challenge No. 162: Separate the values inside the curly braces { }, do the same for nested curly braces.
Solved using:Excel (IFNA, LAMBDA, LET), Google Sheets, Power Query (List.Transform, Table.AddColumn), Python, Python in Excel, R, and VBA.
Custom Grouping! Part 11
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.
Eight Knights Puzzle!
Challenge No. 160: The problem aims to place 8 knights (hours) on a chess board in such a way that each row/column is occupied by a single knight and no knight removes the other one from the chess board.
Solved using:Excel, Power Query, 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.
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.
Column Splitting! Part 3
Challenge No. 156: If the IDs contain an even number of characters, split them into two columns at the midpoint.
Solved using:Excel (HSTACK, IF, IFNA), Google Sheets, Power Query (List.Transform, Text.End, Text.Start), Python, Python in Excel, and R.