Challenge No. 113: Consider the IDs in the question table.
Solved using:Excel (DROP, IF, LAMBDA), Google Sheets, Power Query (List.Transform, Table.AddColumn, Table.AddIndexColumn), Python, Python in Excel, and R.
Excel Challenges
Challenges related to Excel formulas.
Custom Rank! Part 2
Challenge No. 112: In the question table, rank the products based on the difference between sales in 2023 and 2022, in descending order.
Solved using:Excel (HSTACK, LET, ROWS), Google Sheets, Power Query (Table.AddIndexColumn, Table.Sort), Python, Python in Excel, and R.
Compare Rows! Part 2
Challenge No. 111: In the historical sales table, extract the dates where the total sales value is greater than the total on the previous date
for example, in 2/1/2024 total sales were 14 and is greater than total sales on 1/1/2024 which is 11.
Solved using:Excel (DROP, FILTER, IF), Google Sheets, Power Query (Table.Group, Table.SelectRows), Python, Python in Excel, and R.
Reconciliation!
Challenge No. 110: After reconciling the company’s bank transactions with the records in the financial department, discrepancies were found between 5 rows of bank transactions and 7 rows of financial records.
Solved using: Excel.
Custom Grouping! Part 3
Challenge No. 109: Dates were grouped by sales trends, with each group extending until a drop in sales occurred.
Solved using:Excel, Google Sheets, Power Query, Python, Python in Excel, and R.
Avg Cooperation Time!
Challenge No. 108: Calculate the average cooperation time in months for those who are still with the company (do not have value on column leave date) as of 16/08/2024, categorized by their respective levels.
Solved using:Excel (AVERAGE, FILTER, HSTACK), Google Sheets, Power Query (Date.Month, Date.Year), Python, Python in Excel, and R.
Matching Tables!
Challenge No. 107: In a survey, 10 questions were asked to both
a manager and an expert, and they responded
to some of them.
Solved using:Excel (CHOOSECOLS, FILTER, HSTACK), Google Sheets, Power Query (List.PositionOf, List.Transform, Table.AddColumn), Python, Python in Excel, and R.
Custom Rank! Part 1
Challenge No. 106: Rank the countries based on Olympic medals, starting with the number of gold medals.
Solved using:Excel, Power Query, Python, and R.
Characters Repetition!
Challenge No. 105: In the question table, where some passwords are provided, extract the 6 most commonly used characters across all the passwords and count their repetitions.
Solved using:Excel (CONCAT, FILTER, GROUPBY), Google Sheets, Power Query (List.Combine, List.Distinct, List.Transform), Python, Python in Excel, and R.
Simuilation!
Challenge No. 104: Monte Carlo simulation is a technique used to predict the outcome of decisions by simulating a process multiple times.
Solved using:Excel, Power Query, Python, Python in Excel, and R.