Looking up when data won’t play nice – few more alternatives

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Recently, we discussed about the case of unwieldy data and how we lookup what we want using formulas like SUMIFS. Today, let us learn few more ways to solve the same problem.

First, a re-cap of the problem:

Here is a data-set:

2D Lookup problem - Example dataset

The problem – build a lookup formula

And the problem. Oh, simple. Write a lookup formula to find how many customer walk-ins we have on any given day.

In the previous article, we discussed how to use SUMIFS to solve this problem. There were several amazing & awesome solutions shared by our readers in the comments section too.

Suitable structure spawns simple solutions

Poorly structured is the 2nd biggest problem of analysts. The first one is not enough coffee. That is why there is a dictum in the data analytics world.

Structure is everything

So, we can easily solve our lookup problem, if our data were to magically re-arranged in 2 column fashion – Data & Value.

Transforming data to solve problem easily - Example

This transformation can be done in 2 ways:

Option #1: Transforming Data – Using Formulas

We can use data fetching formulas like OFFSET or INDEX to re-arrange data in 2 columns.

Assuming,

  • Our 2D data is in a named range data,
  • There are running numbers starting with 0 in the cell J5

We can use below formula to fetch first column:

=IFERROR(INDEX(data,2*(INT(J5/7))+1,MOD(J5,7)+1),"")

for the second column, below formula works:

=IFERROR(INDEX(data,2*(INT(J5/7)+1),MOD(J5,7)+1),"")

How does this formula work?

I will explain the formula for first column. Deciphering 2nd column formula is your homework.

Here is the formula again: =IFERROR(INDEX(data,2*(INT(J5/7))+1,MOD(J5,7)+1),"")

Before understanding the formula, let’s take a minute to examine the structure of  our raw data.

  • Odd rows contain dates
  • Even rows contain values
  • There are 7 columns in total
  • So to get the first date, we need to go to row 1 (first odd number), column 1
  • To get the first value, we need to go to row 2 (first even number), column 1
  • But to get 8th date, we need to go to row 3(2nd odd number), column 1
  • So on

Let’s go from inside out.

  • 2*(INT(J5/7))+1 portion: This gives row number (ie odd number). J5 refers to running number and its value is 0. So we get 2*(INT(0/7))+1 = 1
    • This will be 3 when J5 becomes J12 (ie 8th date)
  • MOD(J5,7)+1 portion: This gives column number. It will result in values 1 thru 7 in a cyclical fashion. Thanks to MOD.
  • INDEX(data, ..., ...) portion: Now that we have both row & column numbers, INDEX formula kicks in and gets the corresponding date.
  • IFERROR(INDEX(...),"") portion: This is to help in case we ran out of all dates & values in our INDEX formula. Read about IFERROR here.

Once you have the formulas for first date & value, simply drag them to get rest of the values.

Option #2: Transforming data – Using VBA

VBA Macros are perfect for scenarios like this. Usually transformation is something you need to do every-time you import data from external systems. So simply write a macro that can do this automatically.

Assuming our data is in the range data and the first cell of our extraction range is startHere, you can use below macro:


Sub rearrangeData()
    'takes the values in DATA named range and rearranges them
    'from the named cell startHere

    Dim cell As Range, i As Long, j As Long, evenRow As Boolean, firstRow As Long
    
    i = 0
    j = 0
    firstRow = Range("data").Cells(1).Row
    
    For Each cell In Range("data")
        evenRow = (cell.Row - firstRow + 1) Mod 2 = 0
        If evenRow Then
            Range("startHere").Offset(j, 1).Value = cell.Value
            j = j + 1
        Else
            Range("startHere").Offset(i, 0).Value = cell.Value
            i = i + 1
        End If        
    Next cell
End Sub

How does this macro work?
Before jumping in to the lines of code and demystifying the logic, Let’s understand what we need to do:

  1. For each cell of data,
    1. If it is in odd row, put the cell data in Date column at end
    2. Else, put the cell data in Value column at end
  2. Repeat

This is what our code is trying to do.

Let’s examine the For Each loop, as this is the most critical part of our macro.

  • For each cell in the range data
  • We check if we are in evenRow using simple arithmetic on row numbers
  • If we are in evenRow then
    • We put the cell value in row j (number of values so far), column 2
    • We increment j
  • Else
    • We put the cell value in row i (number of dates so far), column 1
    • We increment i
  • Close the IF condition
  • We check for next cell in the data range

Advantages of Transformation over SUMIFS approach

Both options for transforming data have few advantages:

  • They work with any type of data (unlike SUMIFS, which works only for numeric lookups and has few other issues)
  • Once data is restructured, you can do other types of analysis like creating pivot tables, adding extra calculated columns etc. easily.

Download Example Workbook

Click here to download example workbook that shows original SUMIFS solution, both options for transforming data & few other formulas. Play with it to learn more. Check out the code by pressing ALT+F11.

How would you transform data?

My favorite techniques for transforming data are – VBA, formulas, Power Query, pivot tables & SQL. Depending on the situation, time availability, where my data is, I choose one of these options to scrub my data.

What about you? How do you clean up / scrub data like this? Please share you thoughts & tips with us in comments.

Instructions for washing your dirty data

If your work involves scrubbing dirty data, check out below tutorials too:


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15 Responses to “Highlight Employees by Performance Rating – Conditional Formatting Challenge”

  1. Stephen says:

    While this might solve the question Shelly asked, there is another option that might be more useful - a pivot table could make a list of people who fall into the various categories, so, if you needed to simply see who got in the top bracket to give them a bonus, you would have that list

    Simply sorting by the rankings would work too, but you would knock them out of alphabetical order. 

  2. Darin Myers says:

    Normal
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    /* Style Definitions */
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    {mso-style-name:"Table Normal";
    mso-tstyle-rowband-size:0;
    mso-tstyle-colband-size:0;
    mso-style-noshow:yes;
    mso-style-priority:99;
    mso-style-parent:"";
    mso-padding-alt:0in 5.4pt 0in 5.4pt;
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    font-family:"Calibri","sans-serif";
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    mso-bidi-font-family:"Times New Roman";
    mso-bidi-theme-font:minor-bidi;}

     
    The solution I chose makes use of the percentile formula.
     
    The percentile formula returns the value representing the K-th percentile of a range of values. The range of values is the first criteria, and K is the second criteria in the formula.

    I applied Conditional Formatting according to the formulas in the order below:

    5%    =$C6>=PERCENTILE($C$6:$C$33,0.95)   Dark Blue
    15%  =$C6>=PERCENTILE($C$6:$C$33,0.85)   Light Blue
    65%  =$C6>=PERCENTILE($C$6:$C$33,0.1)     Green
    10%  =$C6>=PERCENTILE($C$6:$C$33,0.05)   Light Red
    5%    =$C6<PERCENTILE($C$6:$C$33,0.05)     Dark Red
     
    The issue I noted with this approach is that Zambi was not highlighted in my solution as it is in the solution provided. Unless I am mistaken, and I very well may be, the 10th percentile for this data set is at 2.21, so Zambi would fall above the 10th percentile with a PR of 2.3.
     
    The first step to this was figuring out the 'buckets'; what scores should fall into each range. In attempting to match the formatting of the spreadsheet, I determined the buckets below.
     
    5% = 95% to 100%
    10% = 90% up to but not including 95%
    65% = 10% up to but not including 90%
    10% = 5% up to but not including 10%
    5% = under 5%
     
    After that, it is a relatively simple matter to plug the necessary values into the conditional formatting formulas as shown above.

    One final consideration is that while the buckets above match the color banding on the spreadsheet, I believe that the original request suggests a different color banding with 6 buckets shown below.
     
    Top 5%    = 95 to 100%    Dark blue
    Top 10%  = 85 up to but not including 95%    Light blue
    Top 65%  = 35 up to but not including 85%    Green

    Bottom 10% = 10% down to but not including 5%   Light Red
    Bottom 5%   = 5% or under    Dark Red
     
    This leaves one final bucket of 10 to 35% (exclusive of both values) that is not highlighted and so would remain white.
     
    Thank you Chandoo and Shelly for an interesting and useful exercise. This is certainly a valuable technique to have in my reporting bag of tricks.
     

  3. PSG says:

    Use of PERCENTILE is a smarter way of doing it.  Below is my solution.
     
    First 5 % = Apply conditional formatting (Dark Blue) as highlight ">=" =PERCENTILE(C:C,0.95)

    Next 15% = Apply conditional formatting (Lighter Blue) as highlight between =PERCENTILE(C:C,0.95)-0.01 and  =PERCENTILE(C:C,0.8)

    Next 65% = Apply conditional formatting as highlight (Olive Green) between =PERCENTILE(C:C,0.8)-0.01 and  =PERCENTILE(C:C,0.15)

    Next 10% = Apply conditional formatting as highlight (Lighter Red) between =PERCENTILE(C:C,0.15)-0.01 and  =PERCENTILE(C:C,0.05)

    Bottom 5% = Apply conditional formatting (Red) as less than =PERCENTILE(C:C,0.05)

    • Shailesh says:

      I agree, this is a challenge faced by HR managers every year and use of percentile formulae is the most popular solution which permits further processing like making bell curve, applying increments based on segmentation etc.

  4. Mayank Bhatia says:

    Hi Chandoo,

    I came at the same solution as yours (not looking at yours first) but I have hard coded the conditions in the conditional formatting. For example:

    =AND($C6>=$D$10,$C6<$D$9)

    I have done the same thing 5 times for each condition.   This makes the formatting independent of the order of specification. I think it will work better across versions of excel.

    To copy the same thing in all sheets, Shelly can copy these formatted cells with format painter and apply it to the relevant cells in next sheet and so on! I know 700 sheets will be difficult but I dont know of any other way to apply conditional formating rules to the whole sheet.

      

  5. Sameer Srivastava says:

    First i have used percentile formula in the next column of "percentile Threshold" where E5, E6.. is input to colour code.
    The idea behind doing this is to replicate the formula for any range and any threshold

    =PERCENTILE($C$3:$C$30,1-E5)

    =PERCENTILE($C$3:$C$30,1-E6)

    =PERCENTILE($C$3:$C$30,1-E7)

    =PERCENTILE($C$3:$C$30,1-E8)

    =PERCENTILE($C$3:$C$30,1-E9)

    Now i have given logic to different employee by applying "if Formula"

    =+IF(J3>=$G$5,1,IF(J3>=$G$6,2,IF(J3>=$G$7,3,IF(J3>=$G$8,4,5))))

    where 'J"  referes to PR and "G" refers to percentile derived from above mentioned formula.
    once again it is replicable (just change reference points)

    Now comes the major part of Conditional Formatting, i have used "use a formula to determine which cells to be formatted" 
    Formula =$j=5, format "required colour" Applies to "$I$3:$J$30" 
    plus put tick on stop if true

    This solves the query, important point that this is repeatable and can be done for n number of departments

    Thanks !

  6. Deepa says:

    I had done some reading on it and in Excel 2010 a new function has been introduced, percentile.exc. Attaching a video which also talks why the old percentile function shouldn't be used as it acts erroneous at times. Might be worth a watch Chandoo,
    http://www.itechtalk.com/thread10579.html

    • Hui... says:

      @Deepa

      Quit correct.

      Where ever you use statistical spreadsheet functions and are using excel 2010 you should use the new versions of the functions as MS did a lot of work to speed up and fix errors in the old functions.

      Warning: If you use the new Excel 2010 statistical functions in Named Formulas most of them will crash excel so do keep that in mind.

  7. Kishore says:

    Hello Chandoo,
    When i first read the challenge file, i thought, the color that need to be applied for a given rule, also need to be picked dynamically as given in rule set. But in the solution file, i found that color is hard Coded. So in case, someone has same data, but wants different colors, he/she needs to goto manage rules and change colors.
    Let me know if my understanding is correct, and if yes, can we also make the color to be applied dynamic?
     
    Thanks
    Kishore

  8. Roger L Moreno says:

    HI I ALSO USED THE PERCENTILE FUNCTION. HOWEVER, I WENT A STEP FURTHER AND USING THE SMALL() FUNCTION I SORTED THE DATA BY PERCENTILE SO THE COLOSCHEME WOULD BE GROUPED BASED ON THE VALUE. THIS WAY IT IS BETTER AND EASIER TO VIEW.

  9. [...] recently posted a challenge to help a reader with a [...]

    • Balraj says:

      Hi, i have got doubt regarding to the percentages that has been put in chandoo's spreadsheet, i cant understadn how he put directly. can some one please explain how chandoo put the percetages straight way that i stated below..

      5%

      15%

      60%

      10%

      5%

  10. I have stumbled on this post as the solution has been already given so I have taken the liberty to record a video where I show the implementation of it as well as adding a filtering feature which I hope can prove to be useful.

    Thank you

    http://www.xlninja.com/2012/06/28/how-to-use-excel-to-highlight-employee-performance-rating/  

  11. [...] scriu nici macar un cuvant din urmatorul articol. Astazi mi-am citit mailul si hopa challenge de la Chandoo. Cum puteam sa refuz asa ceva si m-am apucat de citit, iar dupa 5 min i-am spus sotului ca pe asta [...]

  12. Yves S says:

    Question for Chandoo:
    I came to your site late but am totally loving these challenges 🙂

    I guess it all boils down to how the bins are set up.
    I agree with the PERCENTILE.INC function.

    pls help me understand where I am wrong.

    I have determined following the bins:

    bottom 5% <=2.00 (F6:F33 <=PERCENTILE(range,.05))
    lower 15% (5+10) <= 2.40 (F6:F33 <=PERCENTILE(range,.15))
    lower 80% (5+10+65) <=3.46 (F6:F33 <=PERCENTILE(range,.80))
    lower 95% (5+10+65+15) <=4.00 (F6:F33 =PERCENTILE(range,.95))
    top 5% <=4.20 (F6:F33 <=PERCENTILE(range,1.00))

    I find that only Tom is highest scorer and unique top 5% achiever.

    I notice that Chandoo has included Christy and Daniel in top 5% achievers. How can there be 3 people in top 5% out of a population of 28 (5% of 28 = 1.4, i.e. only one person can achieve that status)?

    I tried different ways but cannot get to that distribution.

    Rest of the work is simply organizing the conditional formatting rules with Stop If True box checked.

    Thanks for your insights

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