Challenge No. 178: Find the prime Factors of numbers in the question table.
Solved using:Excel (IF, LAMBDA, LET), Google Sheets, Power Query (List.Transform), Python, Python in Excel, R, and VBA.
Python
Python programming for data analysis
Table Transformation! Part 21
Challenge No. 177: Transform the question structure into the result structure.
Solved using:Excel (DROP, FILTER, HSTACK), Google Sheets, Power Query (Table.AddColumn, Table.ExpandTableColumn, Table.Group), Python, Python in Excel, and R.
Custom Grouping! Part 16
Challenge No. 176: Group every five rows of the question table and then provide some of quantity for each group.
Solved using:Excel (GROUPBY, HSTACK, LAMBDA), Google Sheets, Power Query (Table.Group, List.Transform, Table.AddIndexColumn), Python, Python in Excel, and R.
Filter!
Challenge No. 174: In the question table, filter out rows where there is a greater value within the two days before or after the current row.
Solved using:Excel (AND, FILTER, IF), Google Sheets, Power Query (Table.SelectRows), Python, Python in Excel, and R.
Custom Grouping! Part 15
Challenge No. 173: The Question table contains transactions recorded on different dates.
Solved using:Excel (HSTACK, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Date.Month, Table.AddIndexColumn), Python, Python in Excel, and R.
Performance!
Challenge No. 172: In this challenge, 250,000 rows of hourly historical data are provided, which are not sorted in any specific order.
Solved using:Excel (DROP, LET, SORT), Google Sheets, Power Query (Table.AddColumn, Table.Sort), Python, Python in Excel, and R.
Table Transformation! Part 20
Challenge No. 171: Transform the question structure into the result structure.
Solved using:Excel (DROP, FILTER, HSTACK), Google Sheets, Power Query (List.Transform), Python, Python in Excel, and R.
Extract From Text! Part 7
Challenge No. 169: Similar to Challenge 149, extract the texts between the pairs of the characters listed below.
Solved using:Excel (ARRAYTOTEXT, LAMBDA, MAP), Google Sheets, Power Query (List.Split, List.Transform, Text.Combine), Python, Python in Excel, and R.
Custom Grouping! Part 14
Challenge No. 168: The stock prices for the given dates are provided in the question table.
Solved using:Excel (IF, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Table.AddIndexColumn, Table.ExpandTableColumn), Python, Python in Excel, and R.
Table Transformation! Part 19
Challenge No. 167: Transform the question structure into the result structure.
Solved using:Excel (FILTER, HSTACK, IF), Google Sheets, Power Query (List.Skip, List.Split, Table.AddColumn), Python, Python in Excel, and R.