Challenge No. 13: Provide a formula to generate the list of animals who are common in all 3 columns.
Solved using: Python in Excel.
TOCOL
Converts a range or array into a single column in Excel.
Total Distance!
Challenge No. 81: The distance between cities and staff travels are provided in the question distance and travel tables.
Solved using:Excel (DROP, IFNA, INDEX), Power Query (Table.AddColumn), Python, and R.
Separate Alphabets and Numbers
Challenge No. 2: (Excel formulas also welcome)
Extract all alphabets in one column and numbers in another column.
Solved using: Python in Excel.
Extract From Text! Part 2
Challenge No. 78: Extract all the Dates from the text provided in the question table in different formats.
Solved using:Excel, Power Query, Python, R, and VBA.
Extract From Text! Part 1
Challenge No. 71: Extract all the emails from the text provided in the question table.
Solved using:Excel (FILTER, LEN, LET), Power Query (List.Transform, Text.Contains, Text.Split), Python, and R.
Coin Change Problem!
Challenge No. 70: Consider a set of coin denominations as: {1$, 2$, 5$, 10$}.
Solved using:Excel (FILTER, LAMBDA, LET), Power Query (List.Transform, Table.FromRows), Python, R, and VBA.
Merged Cells!
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.
Missing Values! Part 2
Challenge No. 62: The question table presents the actual progress of 3 projects at the end of each month, but some values are missing.
Solved using:Excel (DATE, DROP, IF), Power Query (Date.Month), Python, 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.
Assignment Problem (Part 2)!
Challenge No. 50: In the continuation of the previous challenge, we reach the question table as the normalized table, in the rest of the algorithm the below step should be done.
Solved using:Excel (AND, BYCOL, BYROW), Power Query (List.Transform, Table.Column), Python, and R.