Tags: DATA TABLE

Prioritise investment liquidation to minimise Capital Gains

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Assume a five column dataset with the Fund Name in column A, Market Value in column B, Gain/Loss in column C, Gain/Loss % in column D [column C/column B] and Type of investment in column E (Short term or Long term).  Since multiple investments can be made in one fund, there can be multiple line items for with the same Fund Name (with different market values).  Let's call this dataset the Investment schedule.

The objective is to determine the following:

a. Minimum total gain realised from sale of one/multiple funds; and
b. Short term gain present in a above; and
c. Total Long term gain realised from sale of one/multiple funds; and
d. If Long term investments fall for liquidating the particular fund, then how much is the gain/loss by forcible liquidating the short term investments.

You may refer to my solution in this workbook.

Compute configuration count using Set Theory and Venn Diagrams

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Assume a table which lists attendees for a Company's Annual day function.  In this Table, data for every attendee is shown on a separate row so if an employee attends the function with his/her spouse and three children, then there will be 5 rows for that employee.

The question is to determine the count of the following family configuration:

1. Employees only (those who attended without spouse and children); and
2. Employees, spouse and children (Family); and
3. Employees and spouse (no children); and
4. Employees and children (no spouse)

You may refer to my solution in this workbook.  I have solved this problem using:

1. MS Excel Formulas based on Set Theory and Venn Diagram; and
2. PowerPivot

Perform an iterative sum of Top n values across multiple columns

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A tournament has 18 participating teams with 25 players in each team.  Each team has to play five rounds of the Tournament and not all players play all rounds.  Scores earned by each player in each round are shown in individual cells.  If a player does not play a round, that cell is left empty.

The task is to sum the highest 18 scoring players for each round.  Only the highest 18 players per team count towards the teams score.  If few of the players have the same score at position 18 then only one of them should be included in the overall score.

One solution is to sort each round of scores for each team in descending order and sum the highest 18 values.  This is obviously a time consuming process.

There could be two others ways to solve this problem

Formula driven solution - This uses a spare column, a lengthy formula and the Data > Table functionality.  Since Data > Table is a series of array formula, this solution makes the workbook very sluggish.  You may refer to my solution in this workbook.

PowerPivot solution - This solution is far better than the formula driven one in as much as no spare columns, lengthy formulas or Data > Tables have been used.  The solution in this workbook adds the scores of the highest 18 scoring players per round (If few of the players have the same score at position 18 then all scores are included in the overall score).  To use this PowerPivot solution, you need to be using the PowerPivot add-in for MS Excel.  This add-in is only available for Excel 2010 and higher versions.

Determine cumulative expenses per employee when per diem rates vary by block of dates

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Assume per diem travel rates vary by block of dates (from and to).  So, assume the per diem rate for travel dates between 26/2/2013 and 28/2/2013 is Rs. 78,000/day.  Likewise, if a person travels between 1/3/2013 and 25/3/2013, the per diem rate applicable is Rs. 70,000/day.  With different travel dates (from and to) specified per traveller, the task is to determine total travel expenses per individual.

You may refer to my solution in this workbook.

Summarise data based on an unknown combination of conditions

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Data on the sheet named "Sales Data Master" shows the Territory wise, Show Title wise and Sales man wise forecast and actual data.  One may want to summarise data based on an unknown combination of conditions.  Conditions may be entered as:

1. All three conditions specified
2. No condition specified
3. Only first condition specified
4. Only second condition specified
5. Only third condition specified
6. First and second condition specified
7. First and third condition specified
8. Second and third condition specified

You may refer to two solution workbooks here

1. Faster because data sheet formulas have been Pasted Special as Values - Download
2. Slower because data sheet formulas are retained - Download

Valuing Closing Stock using FIFO method of Accounting

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Assume a stock purchase sheet which details the daily stock purchase of various Raw material at various per unit prices.  On another sheet, the closing stock of each Raw material type is entered.  In issuing Raw Material, one may want to follow the First In First Out (FIFO) method accounting which assumes the Raw material issued is from the oldest stock lying in inventory i.e. the inventory left over will be from the recent stock purchased.

The objective is to determine the value of the closing stock of Raw material on FIFO basis.

You may refer to my solution in the attached workbook.