Moderate difficulty level.
Challenge No. 143: Groups the sales values every week starting from Friday days starting from 1/1/2024.
Solved using:Excel (GROUPBY, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Date.WeekOfYear, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 142: The Question table contains information about the fingerprinting times for various personnel when entering the company.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (Table.AddColumn, Table.Group, Table.Pivot), Python, Python in Excel, and R.
Challenge No. 219: Count the number of 7s for the given numbers starting from 1.
Solved using: Excel VBA.
Challenge No. 61: Generate Result table on the basis of T1 and T2.
Solved using: Power Query (List.Distinct, Table.Group, Table.Pivot).
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.
Challenge No. 135: Find the number of occurrences of the “+-+” pattern across the test IDs for each product.
Solved using:Excel (BYROW, CONCAT, DROP), Google Sheets, Power Query (List.Range, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.
Challenge No. 195: Twin primes are those 2 prime numbers where difference between them is 2.
Solved using: Python in Excel.
Challenge No. 132: In Question Table 1, values are provided for each code.
Solved using:Excel (FILTER, FIND, ISNUMBER), Google Sheets, Power Query (Text.Contains, Table.AddColumn, Table.SelectRows), Python, Python in Excel, R, and VBA.
Challenge No. 129: The stock prices for the given dates are provided in the table.
Solved using:Excel (DROP, GROUPBY, HSTACK), Google Sheets, Power Query (Table.Group, Table.AddColumn, Table.Group), Python in Excel, and R.
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.
