# Tags: IFERROR

Relative size factor (RSF) is a test to identify anomalies where the largest amount for subsets in a given key is outside the norm for those subsets. This test compares the top two amounts for each subset and calculates the RSF for each. In order to identify potential fraudulent activities in invoice payment data, one utilizes the largest and the second-largest amounts to calculate a ratio based on purchases that are grouped by vendors.  You may read more on this topic here.

Here is a 3 column dataset.  The first column is Vendor Number, the second is Invoice number and last is invoice amount.  There can be multiple invoices per vendor.  The objective is to determine the highest invoice value for a vendor and divide that by the second highest invoice value for that same vendor to get a ratio.  The same needs to be done for all vendors.  An interesting case in the dataset below is Vendor_No V4439 - there are 2 instances of highest value for this vendor i.e. 25,378.30 and another 2 instances of second highest value i.e. 24,068.25.  The RSF for this case will be 25,378.30/24,068.25.  If there is no instance of second highest value for a vendor, then the result should be 0.

The expected result is:

I have solved this question with the help of the PowerPivot.  You may download my solution workbook from here.

Here's a simple 3 column table showing Date, Project name (Cat.) and Status of the project.  Each project can have multiple status entries on different dates.  So as you can observe, project "alpha_9383993" was In Progress on Oct 2, 2017, remained so on October 5, 2017 but was completed on October 6, 2017.

 Date Cat. Status 02-Oct-17 alpha_9383993 In Progress 03-Oct-17 Pulse_9387388 In Progress 04-Oct-17 Pulse_9387388 Rework 05-Oct-17 alpha_9383993 In Progress 06-Oct-17 alpha_9383993 Completed 07-Oct-17 Pulse_9387388 Completed 08-Oct-17 Oppo_tes_9383 In Progress 09-Oct-17 Oppo_Max_8977 Rework

The objective is to determine the count of projects by Status as per the most recent status of every project.  So the expected result is:

 Row Labels measure 2 Completed 2 In Progress 1 Rework 1

The result for In Progress should be one because there is only one such project - Oppo_tes_9383.  Project alpha_9383993 should not be counted because it was completed on October 6, 2017.  Likewise the result for Rework should be one because there is only one such project - Oppo_Max_8977.  Project Pulse_9387388 should not be counted because it was completed on October 7,2017.

I have solved this problem with the PowerPivot.  You may download my solution workbook from here.

Here is a simple matrix like data layout which shows the features available in every product.  Let's assume that this data is in range A2:E8 (including the header row)

 Functions Product A Product B Product C Product D Function 1 x Function 2 x x Function 3 x x x Function 4 x x Function 5 x x Function 6 x

Here is a user created input table of his/her requirements.  Let's assume that this data is in range A12:B18 (including the header row)

 Functions Input Function 1 Function 2 x Function 3 x Function 4 Function 5 x Function 6

The expected result is the "Product" which meets the user defined function combinations. The result should be Product B. If there are different products which meet the user's requirements, only the first one will be returned as a result. If one would like all products to be returned, the one can use Power Query to resolve this problem.

=IFERROR(INDEX(\$B\$2:\$E\$2,1,MATCH(COUNTA(\$A\$13:\$A\$18),MMULT(1*(TRANSPOSE(B3:E8=B13:B18)),1*(ISNUMBER(ROW(INDIRECT("1:"&COUNTA(\$A\$3:\$A\$8)))))),0)),"No such product")

Please note that this is an array formula so please confirm the formula with Ctrl+Shift+Enter.

Refer to a simple 5 column representative inventory dataset of a Glass manufacturer:

 Model Length (MM) Wide (MM) Thk (MM) CAT HX9-G-ARD 1071 273 3.5 A MYP-G-3RD 580 535 3.2 B EPO-G-3RD 580 535 3.2 A MYG-G-3R 966 350 3.2 A MYN-G-3RD 649 530 3.2 A GM SPIN-G-3FD 882 395 3.2 A MY8-G-AR 880 400 3.5 B GM2-G-AR 880 400 3.5 A

From this inventory data, one has to furnish customer orders based on specific dimensions demanded by them.  A typical Customer request would be to supply glass sheets as per the following dimensions

 Length (MM) Wide (MM) Thk (MM) CAT 780 542 3.5 A

The firm may or may not have glass sheets of this specific size.  The objective is to identify glass sheets, from the inventory on hand, which match customer specifications.  If there is no exact match, then one must be able to obtain all inventory items which have the same Thk (MM) and CAT as the customer specified dimensions but the Length and thickness should be more than equal to the customer specified dimensions.  The length and width can then be trimmed to match the exact customer dimensions.  Furthermore, the result returned should:

1. List only the Top 30 glass sheets available in inventory; and
2. List those Top 30 glass sheets in ascending order of wastage (wastage caused when the glass sheet is trimmed to match the customer specified dimensions)

You may refer to my solution in this workbook.  I have shared two solutions - one using Excel formulas and the other using Power Query a.k.a. Get and Transform in Excel 2016.  Please read the Comments in cells F1, J9 and J16 of the "Solutions" worksheet.  The difference between the 2 solutions is:

1. Formula driven solution - This is in range J10:AM14 of the Solutions worksheet.  This is a semi dynamic solution (as compared to the Power Query solution).  To get the models in ascending order of wastage, one will have to create an Area column in the base data and sort that column in ascending order.
2. Power Query solution - This is in range J17:AM21 of the Solutions worksheet.  This is a dynamic solution.  Just change the customer specified dimensions in range G2:J2 of the Data and Query worksheet.  Thereafter just right click on any cell in the range below and select refresh.

For a lot of Excel users, a common problem is to extract City, State and Pin Code from an address string.  What compounds the issue is that there is no standardisation in an address string.  For e.g., one may end the address with a Pin code, while others may end it with a State and Country.  Some other variations could be:

1. End the address with Contact Numbers
2. There are no spaces between City, State and Pin code

There are of course many other variations which are possible and the sheer number of these variations makes it difficult to list down all of them.

Here is an example of address strings from where the State, City and Pin code need to extracted in three columns:

1. F-45, Pocket 1, Sector 198, Noida - 201303, Uttar Pradesh, India
2. S-45/B, Pocket 1-C, Phase II, Sector 189, Gurgaon, Haryana - 122002
3. RR-45/B, Pocket II-S, Cross 2, Noida - 201303, India
4. T-45, Sector 198, Lucknow - 226001, Uttar Pradesh, India
5. V-45(A), Sector 193C,Allahabad-211002 Uttar Pradesh India
6. V-45(A), Sector 193C,Allahabad-211002Uttar PradeshIndia

You may refer to my solution in this workbook.

Assume a simple Sales dataset from which a Pivot Table has been created.  The Pivot Table has been sliced by two columns of the dataset.  To represent data pictorially, a Pivot Chart has been created from this Pivot Table and the chart is placed on a separate worksheet (of the same workbook).  Now let's say, a user makes a few slicer selections on the Pivot Table worksheet.  When one now clicks on the Pivot Chart worksheet, one does not see what selections were made in the slicers (which are placed on the Pivot Table worksheet).  So one has to go back and forth between the two worksheets to keep track of the slicer selections made.  One may want to view the slicer selections made on the Pivot Chart as well.  Changes made in the slicer selections should automatically reflect on the Pivot Chart worksheet.

This can be accomplished by using the PowerPivot tool and CUBE functions (available in Excel 2007 + versions).  You may download the solution workbook from here.

You may watch a short video of my solution here

Visualise a Pivot Table with a few Fields dragged in the Report filter, Row labels and Value Area section.  In the Column labels are two fields, Month and then Year - so in the column labels, for every month, there is data for three years 2005, 2006 and 2007.  For some months, there is data for two years only 2005 and 2006.  In the Value area section are fields such as Net Amount, Quantity, Bonus etc. and the summarization function applied to them is SUM.  There is no complication in creating the Pivot Table described above.

The actual requirement is to customise the Subtotal column of the Pivot Table as follows:

1. For the monthly subtotals, the Net Amount and Bonus figure are to computed as a difference of 2005 and 2006 i.e. SUM of quantity of 2005 - SUM of quantity of 2006.  The Grand total column should be a a summation of individual subtotals.
2. Average Selling price for every year is to be computed as as Net Amount/(Ttl Bonus + Quantity).  For the monthly subtotals, the figure is to be computed as

=(Net Amount of 2005/((Bonus of 2005+Quantity of 2005)) - (Net Amount of 2006/((Bonus of 2006+Quantity of 2006))

The Grand Total column is to be left blank for Average Selling Price,

As you can observe, the subtotal column (for the months) will have different formulas running for different Fields.

A conventional Pivot Table does not allow one to have custom formulas in the Subtotal columns.  I have been able to resolve this problem by using the free Power Pivot add-in from Microsoft for Excel 2010 and higher versions.

You may refer to my solution in this workbook.

Here's another example.  Assume a dataset with three columns - Date, Manager and Amount.  There are repetitions in the Data and Manager column.  One may want to know the maximum amount per month per Manager.  While this is easy to accomplish with a Conventional Pivot Table as well, the problem occurs in the Subtotal/Grand Total cells of a Pivot Table.  The Subtotal/Grand Total cells assume the same function as has been used in the "Summarise Values field by".  So, while in the "Summarise values fields by" section, one may want to use the Maximum function, in the subtotal cell, one may want to use the sum function.

You may refer to my solution in this workbook.

With Power Business Intelligence (BI) tools of Excel 2013, one can metamorphose raw data and/or results of complex calculations into stunning and interactive visualizations.  Power View (one of the four components of Power BI) allows one to create a PPT like flow in Excel thus allowing one to weave a story.  To be able to interact with/create visualizations, you will need to install Microsoft Office Professional Plus 2013 (this version will already have two of the four components of Power BI - PowerPivot and Power View).  Additionally, you will have to install the following add-ins from Microsoft (the other two components of Power BI)

1. Power Query; and
2. Power Map

I have tried to showcase the prowess of Power BI tools of Excel 2013 in these two workbooks:

You may watch a video of my work at this link

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.

Assume numbers are typed in range A1:A2 of multiple worksheets in a workbook.  The task is the compute the MODE of these numbers.  Mode is defined as the value which appears most frequently in a range of cells.  So, if one types 1,3,4,3,5,6 in range A1:A6, then the mode will be 3 - 3 appears maximum number of times in the range.

In MS Excel, there is a built in way to compute the MODE.  The formula for the same is

=MODE(A1:A6)

Unfortunately, MODE() is not a 3D function and therefore, something like this return a #REF error

=MODE(sheet1:sheet3!A1:A6)

This behavior seems somewhat vague because other basic Mathematical and Statistical functions such as SUM(), COUNT(), AVERAGE(), MAX(), MIN(), VAR(), and STDEV() work just fine across multiple worksheets.

Depending upon the version of MS Excel which you are using, there could be two ways to solve this problem.

Solution for MS Excel 2010 and higher versions

If you are using the Power Query add-in, then a few simple steps (no formulas at all) can solve this problem.  The result will be dynamic and refreshable (just as in a Pivot Table).  In Power Query, there is a feature to append data from multiple worksheets into one running range.  Once this is done, the running range can be transferred to an MS Excel worksheet on which the MODE function can be used.

Solution for all versions of MS Excel

To compute MODE across multiple worksheets, you may refer to my solution in this workbook.