Challenge No. 195: In the ID column, the text should follow the format XX/XX/XX/XX (with a ‘/’ after every two characters).
Solved using:Excel (IF, LAMBDA, LEN), Power Query (List.Transform, Text.Combine, Text.Split), Python, Python in Excel, and R.
LET
Assigns names to values or calculations to simplify formulas in Excel.
List words longer than average word length
Challenge No. 330: Extract all the words which are greater than average length of the words in that sentence.
Solved using: R.
Pattern Length!
Challenge No. 194: For each date, samples are evaluated based on quality and marked with a “+” sign if they are within range and a “-” sign if they are out of range.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (List.Transform, Text.Remove, Text.Split), Python, Python in Excel, and R.
Remove last occurrence of minimum number
Challenge No. 328: — Looks like scheduling didn’t work today and challenge didn’t get posted—
Remove the last minimum number from given strings.
Solved using: Python in Excel.
Text Split
Challenge No. 57: Split the group of texts into single characters
Dynamic array function allowed, but extra marks for Legacy solutions or PowerQuery Solution.
Solved using: R.
Top 3 marks with names and subjects
Challenge No. 327: List the top 3 marks and names and subjects against them.
Solved using: Python in Excel.
Custom Grouping! Part 18
Challenge No. 193: Separate sales into weekday sales (Mon-Fri) and weekend sales (Sat-Sun).
Solved using:Excel (DAY, FILTER, GROUPBY), Google Sheets, Power Query (Table.Group, Date.DayOfWeek, Table.AddColumn), Python, Python in Excel, and R.
List numbers not in Fibonacci sequence
Challenge No. 326: List the numbers which are not a Fibonacci number.
Solved using: Python in Excel.
Find missing terms in arithmetic progressions
Challenge No. 325: Find the missing terms in Arithmetic Progressions given.
Solved using: Python in Excel.
Table Transformation! Part 24
Challenge No. 192: Any row with a negative quantity should reduce the corresponding value in the previous rows for the related product.
Solved using:Excel (DROP, FILTER, LAMBDA), Google Sheets, Power Query (Table.Group, Table.SelectRows, Table.Sort), Python, Python in Excel, and R.
