Challenge No. 148: For each customer, filter their first, last, and middle transactions from the provided “transactions” table.
Solved using:Excel (CHOOSEROWS, DROP, FILTER), Google Sheets, Power Query (Table.Combine, Table.Group), Python, Python in Excel, and R.
REDUCE
Reduces an array to a single value using an accumulator function in Excel.
Column Splitting! Part 2
Challenge No. 146: Split the IDs from the beginning of the text up to the “|” character in each occurrence of “|”.
Solved using:Excel (IFNA, LAMBDA, LEN), Google Sheets, Power Query (List.Transform, Text.Combine, Text.Split), Python, Python in Excel, R, and VBA.
First Date Of Months!
Challenge No. 144: From the provided “transactions” table, filter the first transaction for each.
Solved using:Excel (DROP, FILTER, LAMBDA), Google Sheets, Power Query (Date.Month, Table.AddColumn, Table.Group), Python, Python in Excel, and R.
Golden Period!
Challenge No. 140: For each customer, extract the ten consecutive days with the highest purchases.
Solved using:Excel (FILTER, HSTACK, IFS), Google Sheets, Power Query (Table.AddColumn, Table.Group), Python in Excel, and R.
Column Splitting! Part 1
Challenge No. 136: Split the ID values where a character is repeated consecutively.
Solved using:Excel (CONCAT, DROP, IF), Google Sheets, Power Query (List.Transform, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.
List Question Options Summary
Challenge No. 59: Generate the result table where –
Questions should be listed in headers.
Solved using: Power Query (List.Transform, Table.SelectRows).
Sort Columns by Frequency
Challenge No. 188: Sort Col 1 through 5 column wise on the basis of frequency.
Solved using: Power Query (List.Transform).
Cartesian Product!
Challenge No. 128: Write all the 3 character words by using “A”,”B”,C”, AND “D”.
Solved using:Excel (LAMBDA, LET, REDUCE), Google Sheets, Power Query (List.Transform, List.TransformMany), Python, Python in Excel, and R.
Fill Missing Store Dates
Challenge No. 50: If there is a discontinuity in dates for a Store, fill in the missing dates with details of previous records and also fill in the sequence of record numbers for a customer in that store.
Solved using: SQL.
Table Transformation! Part 11
Challenge No. 122: Transform the question table into the reult table format.
Solved using:Excel (DROP, FILTER, HSTACK), Google Sheets, Power Query (List.Transform, Text.Contains, Table.AddColumn), Python, Python in Excel, and R.
