Challenge No. 44: The question tables display product sales across various regions for the different months of spring.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (List.Distinct, Table.Column, Table.ColumnNames), Python, and R.
Table.Group
Groups rows in a table based on specified columns and applies aggregations in Power Query.
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.
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.
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.
Identifying Customers Staple Products!
Challenge No. 29: In the question table, sales transactions are listed.
Solved using:Excel (CHOOSECOLS, FILTER, HSTACK), Power Query (Text.Combine, Table.Group), Python, and R.
Advanced Weighted Average Calculation
Challenge No. 23: Table 2 displays the monthly production figures (in meters) for various machines, while table 1 present the info realted to the weight of samples produced by different machines in different months.
Solved using:Excel (CHOOSECOLS, HSTACK, LAMBDA), Power Query (Table.AddColumn, Table.Group), and R.
Table Transformation! Part 3
Challenge No. 21: In the question table, a list of machinery codes alongside the potential product codes each machine can produce is presented.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (Text.Combine, Table.Group, Table.Sort), and R.
Identify All-Season Products!
Challenge No. 14: Create a list of products sold in all the months throughout the year.
Solved using:Excel (COUNT, FILTER, LAMBDA), Power Query (Date.Month, List.Distinct, List.Transform), and R.