Challenges categorized by topic.
Challenge No. 115:
Replace “q” and “000” in the Product ID and Customer ID columns with “-“.
Solved using:Excel (HSTACK, LAMBDA, LET), Google Sheets, Power Query (Text.Replace, Table.ReplaceValue, Table.TransformColumns), Python, Python in Excel, R, SQL, and VBA.
Challenge No. 34: Split and pivot the Orders table
For example, Fred has only 2 Orders on the 14th and 15th Dynamic array function allowed, but Extra marks for Legacy solutions or PowerQuery Solution.
Solved using: Python in Excel.
Challenge No. 114: In Question Table 1, the dates and product IDs are provided.
Solved using:Excel (FILTER, HSTACK, IFERROR), Google Sheets, Power Query (Text.Split, Table.AddColumn), Python, Python in Excel, R, and SQL.
Challenge No. 33: Get the dates BEFORE and AFTER a NEW ORDER
Dynamic array function allowed but Extra marks for Legacy solutions or PowerQuery Solution.
Solved using: Python in Excel.
Challenge No. 113: Consider the IDs in the question table.
Solved using:Excel (DROP, IF, LAMBDA), Google Sheets, Power Query (List.Transform, Table.AddColumn, Table.AddIndexColumn), Python, Python in Excel, and R.
Challenge No. 132: List the Top 3 players whose rank improved the most from 2021 to 2022.
Solved using: Python in Excel.
Challenge No. 112: In the question table, rank the products based on the difference between sales in 2023 and 2022, in descending order.
Solved using:Excel (HSTACK, LET, ROWS), Google Sheets, Power Query (Table.AddIndexColumn, Table.Sort), Python, Python in Excel, and R.
Challenge No. 111: In the historical sales table, extract the dates where the total sales value is greater than the total on the previous date
for example, in 2/1/2024 total sales were 14 and is greater than total sales on 1/1/2024 which is 11.
Solved using:Excel (DROP, FILTER, IF), Google Sheets, Power Query (Table.Group, Table.SelectRows), Python, Python in Excel, and R.
Challenge No. 34: Generate the Cartesian product as shown.
Solved using: SQL.
Challenge No. 110: After reconciling the company’s bank transactions with the records in the financial department, discrepancies were found between 5 rows of bank transactions and 7 rows of financial records.
Solved using: Excel.
