Challenge No. 75: In the Question table, the order date for different products is provided (determined by positive quantity).
Solved using:DAX, Excel (CHOOSECOLS, FILTER, HSTACK), Power Query (Table.AddColumn, Table.Group, Table.SelectRows), Python, R, and SQL.
MAP
Applies a function to each element of one or more arrays in Excel.
Determining Missing Fields
Challenge No. 74: Customer information including Name, Family, Phone, and Website is provided in the question table.
Solved using:Excel (ARRAYTOTEXT, FILTER, HSTACK), Power Query (List.Difference, List.Distinct, Text.Combine), 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.
Sales By States!
Challenge No. 69: In Table 1, sales transactions are provided, and the state of each customer is presented in Table 2.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (Table.AddColumn, Table.Group), Python, R, and SQL.
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.
Stepped Tax!
Challenge No. 58: In this challenge, we aim to find an efficient way to calculate the stepped tax based on the tax rates presented in the question table.
Solved using:Excel (LAMBDA, LET, MAP), Power Query (Table.AddColumn), 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.
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.
