Challenge No. 66: Convert the Question table with the merge headers into the result table.
Solved using:Excel (DROP, HSTACK, IF), Power Query (List.Distinct, List.PositionOf, Table.Pivot), Python, R, and VBA.
⭐️⭐️⭐️ Intermediate
Moderate difficulty level.
Table Transformation! Part 8
Challenge No. 65: In the question table, the total costs for different date ranges are provided.
Solved using:Excel (HSTACK, LAMBDA, LET), Power Query (List.Dates, List.Transform, Table.AddColumn), Python, R, and VBA.
Text Cleaning!
Challenge No. 64: In the Question table, historical sales values are provided in a single cell, including the Date, Product Name, and Quantity, with a default value of 1 for missing quantities.
Solved using:Excel (DROP, HSTACK, IFERROR), Power Query (List.Transform, Text.Split, Table.Split), Python, 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.
Sales Per Customer
Challenge No. 61: In Question Table 1, sales transactions are provided.
Solved using:Excel (FILTER, HSTACK, IF), Power Query (Table.Group, Table.Sort), Python, R, and VBA.
Merge Columns
Challenge No. 59: The power consumption of a house every 30 minutes on different dates is provided in the question table.
Solved using:Excel (CHOOSECOLS, FILTER, HSTACK), Power Query (List.Distinct, List.Skip, List.Split), Python, Python in Excel, and R.
Missing Values! Part 1
Challenge No. 54: The table presents the actual progress of three projects at the end of each month, but some values are missing.
Solved using:Excel (DATE, DROP, EOMONTH), Power Query (List.Transform, Table.Group, Table.TransformColumnTypes), Python, and R.
Oeis Sequence
Challenge No. 53: The On-Line Encyclopedia of Integer Sequences presents several number sequences based on specific rules.
Solved using:Excel (FILTER, LAMBDA, LEFT), Power Query (List.Transform), Python, and R.
Purchasing Together!
Challenge No. 51: In the Question Table, historical sales data are provided.
Solved using:Excel (BYROW, HSTACK, LAMBDA), Power Query (List.Contains, List.ContainsAll, List.Transform), Python, and R.
Multiple Text Replacement!
Challenge No. 47: The “Question” table presents a list of product IDs collected from several warehouses.
Solved using:Excel (INDEX, LAMBDA, LET), Power Query (Text.Replace), Python, Python in Excel, and R.