Challenge No. 133: Group the monthly sales values into three categories based on the following logic and provide one of the result tables:
Group 1: 1st to 10th of the month
Group 2: 11th to 20th of the month
Group 3: 21st to the end of the month.
Solved using:Excel (DATE, DAY, DROP), Google Sheets, Power Query (Table.Group, Date.Month, Table.AddColumn), Python, Python in Excel, and R.
Table.Group
Groups rows in a table based on specified columns and applies aggregations in Power Query.
Mark Unique or Not Unique
Challenge No. 56: Populate Unique and Not Unique for different fruits against each garden depending upon its count.
Solved using: Power Query (List.Distinct, Table.Group, Table.TransformColumns).
Months With 5 Weekends
Challenge No. 184: List the years in this century which are having at least 2 months which had 5 Fridays, 5 Saturdays and 5 Sundays.
Solved using: Python in Excel.
Custom Grouping! Part 6
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.
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.
Custom Grouping! Part 5
Challenge No. 123: Group the sales values in 10-day intervals, starting from January 1, 2024.
Solved using:Excel (BYROW, DAY, GROUPBY), Google Sheets, Power Query (Table.Group, List.Transform, Table.Group), Python, Python in Excel, and R.
Find Customer Stats With Conditions
Challenge No. 44: Generate result table as shown.
Solved using: Python in Excel.
Custom Grouping! Part 4
Challenge No. 119: The stock prices for the given dates are provided in the table.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (Table.Group, Table.AddColumn, Table.Group), Python in Excel, and R.
Grouping Data
Challenge No. 38: Sort Cookies into 2 groups: with Duplicate Price & with Unique prices Dynamic array function allowed but
Extra marks for Legacy solutions or PowerQuery Solution.
Solved using: R.
Return Repeat Customers
Challenge No. 37: Return only dates with repeat customers and repeated customers Dynamic array function allowed but Extra marks for Legacy solutions or PowerQuery Solution.
Solved using: Python in Excel.
