Returns the number of rows in an array or range in Excel.
Challenge No. 73: In the Question table, sales information including Date, Product Names, and quantity are provided without any separators like CH 63 with the difference that on each date, more than one transaction might provided.
Solved using:Excel (CHAR, DROP, HSTACK), Power Query (List.Skip, List.Transform, Table.AddColumn), Python, and R.
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.
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.
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.
Challenge No. 46: The “Question” table provides a list of Product IDs.
Solved using:Excel (CHOOSECOLS, DROP, FILTER), Power Query (Table.Group, List.Transform, Text.End), Python, and R.
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.
Challenge No. 37: In the question table, the IDs of 20 people who call each other are provided.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (List.Transform, Text.Combine), Python, and R.
Challenge No. 36: In Multi-Objective Models, Instead Of A Single Solution, We Encounter A Pareto Front That Includes All Non-Dominant Solutions, And In This Quesion We Want To Extracth All Non Dominant Solutions.
Solved using:Excel (BYROW, FILTER, LAMBDA), Power Query (List.Transform, Table.SelectRows), Python, and R.
Challenge No. 32: In the question table, monthly sales and the percentage of total annual sales are provided.
Solved using:Excel (CHOOSECOLS, CHOOSEROWS, DROP), Power Query (Table.Column, Table.ColumnNames, Table.Sort), Python, and R.
Challenge No. 28: In the question table, the ID of rows from the main table (not shown in this example) that are nearly identical are provided in the same cell.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (List.Transform), Python, and R.
