How countries spend their money – chart alternatives

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Econimist’s daily chart is a one of my daily data porn stops. They take interesting data sets and visualize in compelling ways. While the daily chart page is insightful, sometimes they make poor charting choices. For example, this recent chart visualizing how countries spend their money uses a variation of notorious bubble chart. Click on the chart to enlarge.

20150912_woc650_1

What is wrong with this chart?

Bubble charts force us to measure and compare areas of circles. Unless you have a measuring tape somehow embedded in your eyes and you are a walking human scientific calculator, you would find this task impossible.

So when you look at the chart and want to find out what percentage Japanese spend on restaurants or how much Americans pay for housing, your guesses will have large error margins.

Not only bubble charts are difficult to read, they are very hard to align. So when you have a bunch of bubbles, no matter how hard you try, your chart looks clumsy (see how the Russian food bubble eats in to Mexico’s bubble, as if it is too hungry 😉 )

Let’s check out a few alternatives to this chart

The simplest alternative for all the bubble madness? Use bar charts!

Bar charts are easy – you can make them in no-time, your audience can read them in no-time. 2X time saved. What not to like 🙂

Alternative 0 – Straight replacement of bubbles with bars:

This one is simple. We take the data, apply conditional formatting > data bars on top of it. We can add an additional rule to show only MIN & MAX values in each row and hide the rest of the values with a custom formatting code – ;;;

This is what you get:

alternative-0-how-they-spend-it-chart

The above chart is way better than bubbles. If you want to shift the focus from country to expense category, you can transform the same chart.

Related resources:

Alternative 1 – Transformed bar chart

alternative-1-how-they-spend-it-chart

Again, same techniques, applied on transformed data set.

Alternative 2 – Highlighting above & below average values in different colors

While conditional formatting data bars are fun and simple, they can only show up in one color. So if you want a few bars to be in different color based on a condition (for ex: all values less than average in different color), you need to venture beyond the data bars.

We can use 2 techniques:

  1. Create in-cell bar charts, using REPT formula and color the bars with conditional formatting
  2. Create a regular bar chart with two series of data – above & below average and color them differently

REPT formula approach is fun and easy. Using that, we get this:

alternative-2-how-they-spend-it-chart

Related resources:

Alternative 3 – Adding labels to MIN & MAX values too

Once we have the REPT() based chart, we can add extra columns to conditionally show the data labels too.

This is what we get:

alternative-3-how-they-spend-it-chart

Download ‘how they spend’ chart alternatives

Click here to download the Excel workbook containing all these charts. Examine the formulas & conditional formats to learn more.

More charting stories & case-studies

Check out below examples to learn few more powerful ways to tell stories using charts. In cell panel chart to visualize survey results

How would you visualize this data?

What do you feel about the bubble chart? If you think it is a poor choice, how would you visualize this data? Please share your thoughts and implementations in the comment section.

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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;
    mso-para-margin-top:0in;
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    mso-para-margin-bottom:10.0pt;
    mso-para-margin-left:0in;
    line-height:115%;
    mso-pagination:widow-orphan;
    font-size:11.0pt;
    font-family:"Calibri","sans-serif";
    mso-ascii-font-family:Calibri;
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    mso-hansi-theme-font:minor-latin;
    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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