Challenge No. 43: In the question table (Product sales in different regions), sort the columns in descending order based on their total values.
Solved using:Excel (BYCOL, HSTACK, LAMBDA), Google Sheets, Power Query (List.Skip, Table.Column, Table.ColumnNames), Python, and R.
LET
Assigns names to values or calculations to simplify formulas in Excel.
Revisit After Surgery!
Challenge No. 42: In the question table, a list of patients is provided who are scheduled to visit the doctor for consultations and surgery.
Solved using:Excel (CHOOSECOLS, DROP, FILTER), Power Query (Text.Combine, Table.Group, Table.SelectRows), Python, and R.
Table Transformation! Part 6
Challenge No. 41: Convert the data from the question table into the result table, arranging the information so that each product is detailed in separate rows.
Solved using:Excel (FILTER, HSTACK, LET), Power Query (List.Transform, Table.RemoveColumns, Table.Sort), Python, and R.
Cross Selling!
Challenge No. 40: In online markets, when customers add items to their carts, other products, known as complementary products, which are often purchased with the selected items, are suggested to boost sales.
Solved using:Excel (ARRAYTOTEXT, FILTER, HSTACK), Power Query (List.Transform, Text.Split, Table.AddColumn), and R.
Duration Since Last Visit!
Challenge No. 38: In the question table, the visiting dates for all 4 agents are provided.
Solved using:Excel (AVERAGE, DROP, EOMONTH), Power Query (List.Transform, Table.AddColumn, Table.Group), Python, and R.
Connected People!
Challenge No. 37: In the question table, the IDs of 20 people who call each other are provided.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (List.Transform, Text.Combine), Python, and R.
P & Down Grades!
Challenge No. 35: In our company, we utilize a grading system to evaluate the technical performance of our agents, assigning grades of C, B, A, and A+.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (Table.AddColumn, Table.Group), and R.
Customer Return Cycle!
Challenge No. 34: In the question table, sales data for different customers are provided.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (Table.Group), Python, and R.
Remove Outlier Questionnaires!
Challenge No. 33: Questionnaires are a common method for collecting data, but they are susceptible to noise from respondents who fill them out randomly.
Solved using:Excel, Power Query, Python, and R.
Table Transformation! Part 4
Challenge No. 32: In the question table, monthly sales and the percentage of total annual sales are provided.
Solved using:Excel (CHOOSECOLS, CHOOSEROWS, DROP), Power Query (Table.Column, Table.ColumnNames, Table.Sort), Python, and R.
