Challenge No. 85: In the Question Table, values are provided and we want to rank them in ascending order based on custom logic.
Solved using:Excel (FILTER, HSTACK, IF), Power Query (List.Sort, List.Transform), Python, and R.
Python for Data Analysis
Using Python for data analysis
Normal Distribution!
Challenge No. 84: Normal distribution was a kind of nightmare in university for me, but now let’s solve it using Excel.
Solved using:Excel (HSTACK, IF, INDEX), Power Query (Table.AddColumn), Python, Python in Excel, R, and VBA.
Custom Splitter (Part 3)!
Challenge No. 83: In the Question table, sales information, including dates, product names, and quantities, is provided in a single cell.
Solved using:Excel (IFERROR, LET, ROWS), Power Query (List.Transform, Text.Split, Table.FromRows), Python, Python in Excel, R, and SQL.
Total Distance!
Challenge No. 81: The distance between cities and staff travels are provided in the question distance and travel tables.
Solved using:Excel (DROP, IFNA, INDEX), Power Query (Table.AddColumn), Python, and R.
Convex Hulls (Gift Wrapping Algorithm)!
Challenge No. 80: The Convex Hull Algorithm leads to the smallest convex area (Polygon) that includes all the points in the dataset.
Solved using:Excel, Python, and R.
Remove Blank Columns!
Challenge No. 79: In the question table, some columns are entirely blank.
Solved using:Excel (BYCOL, FILTER), Power Query (List.Transform, Table.Column, Table.ColumnNames), Python, Python in Excel, R, and VBA.
Extract From Text! Part 2
Challenge No. 78: Extract all the Dates from the text provided in the question table in different formats.
Solved using:Excel, Power Query, Python, R, and VBA.
Character-Based Rhombus
Challenge No. 77: Create a formula to receive a number n as input and generate a rhombus with a diameter equal to n using “*” characters.
Solved using:Excel (DROP, IF, LAMBDA), Power Query (List.Transform), Python, R, and VBA.
Reverse Stepped Tax!
Challenge No. 76: In challenge 58, we aimed to find an efficient way to calculate the stepped tax based on the tax rates presented in the question table.
Solved using:Excel (IFERROR, INDEX, LAMBDA), Power Query (Table.AddColumn), Python, Python in Excel, and R.
Avg Delivery Time
Challenge No. 75: In the Question table, the order date for different products is provided (determined by positive quantity).
Solved using:DAX, Excel (CHOOSECOLS, FILTER, HSTACK), Power Query (Table.AddColumn, Table.Group, Table.SelectRows), Python, R, and SQL.