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.
UNIQUE
Returns unique values from a range or array in Excel.
Process Efficiency!
Challenge No. 56: In Question Table 2, the sequence of machinery based on the process type is presented, and historical machinery data is provided in Question Table 1.
Solved using:Excel, and Power Query.
Warehouse Management!
Challenge No. 55: In the question table, transactions for different products are presented.
Solved using:Excel (FILTER, HSTACK, INDEX), Power Query (List.Distinct, Table.Group, Table.Pivot), 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.
Find Missing Numbers!
Challenge No. 52: In the Question Table, numbers ranging from 1001 to 1018 are listed.
Solved using:DAX, Excel (COUNTIF, FILTER, IF), Power Query (List.Difference), Python, Python in Excel, R, SQL, and VBA.
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.
Table Transformation! Part 7
Challenge No. 48: The table below presents various combinations of heuristic algorithms used to solve a problem, each combination separated by a “+”.
Solved using:Excel (COUNTIF, HSTACK, IF), Google Sheets, Power Query (List.Distinct, List.Transform, Table.AddColumn), Python, and R.
Custom Grouping! Part 2
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.
Combine Tables
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.
Revisit After Surgery!
Challenge No. 42: In the question table, a list of patients is provided who are scheduled to visit the doctor for consultations and surgery.
Solved using:Excel (CHOOSECOLS, DROP, FILTER), Power Query (Text.Combine, Table.Group, Table.SelectRows), Python, and R.