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.
TOCOL
Converts a range or array into a single column in Excel.
Table Transformation! Part 6
Challenge No. 41: Convert the data from the question table into the result table, arranging the information so that each product is detailed in separate rows.
Solved using:Excel (FILTER, HSTACK, LET), Power Query (List.Transform, Table.RemoveColumns, Table.Sort), Python, and R.
Table Transformation! Part 5
Challenge No. 39: From the products list in the question table, extract the unique list of all product codes.
Solved using:Excel (SORT, TOCOL, UNIQUE), Power Query (List.Distinct, Table.Distinct, Table.Sort), Python, and R.
Connected People!
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.
Remove Outlier Questionnaires!
Challenge No. 33: Questionnaires are a common method for collecting data, but they are susceptible to noise from respondents who fill them out randomly.
Solved using:Excel, Power Query, Python, and R.
Table Transformation! Part 4
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.
Cluster Values!
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.
Table Transformation! Part 3
Challenge No. 21: In the question table, a list of machinery codes alongside the potential product codes each machine can produce is presented.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (Text.Combine, Table.Group, Table.Sort), and R.
Identify Frequent Codes
Challenge No. 11: Extract all item codes that are repeated at least in 3 out of 4 lists presented in the question table.
Solved using:Excel (BYCOL, FILTER, LAMBDA), Power Query (List.Combine, List.Distinct, List.Transform), and R.
Calculate Average Inventory Level!
Challenge No. 8: The Question’s table outlines warehouse transactions with records for Initial value (warehouse product count), Add (purchased and incoming products), and Reduce (sold and outgoing products).
Solved using:Excel, and Power Query.