Interactive Decision Tree Visualization in Excel [Trump vs. Hillary in Swing States]

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It is election time in USA, and that means there is a whole lot of drama, discussions and of course data analysis. There are tons of cool visualizations published on all the data. Previously, we talked about “How Trump happened” chart.

Today let’s take a look at the beautiful decision tree chart by NY Times explaining what would happen if each of the 10 swing states vote for Democrats or Republicans. Go ahead and look at that chart. And when you are done playing with it, come back.

decision-tree-trump-hillary-nytimes

My first thought after looking at the chart is: Wow, that is cool. I wonder how we can recreate that experience in Excel?

But as you can guess, making a dynamic tree visualization in Excel is pretty hard. You can create a bubble chart mixed with XY chart to show all the nodes of the decision tree, but as this tree has 2^10 nodes at the bottom level (and 2^11-1 total nodes) our chart would look very clumsy and busy.

So, instead of replicating NY Times chart, why not make our own version that explains the data? You can reuse this idea when visualizing outcomes of several what-if scenarios.

Demo of interactive decision tree chart in Excel

First, take a look at our Trump vs Hillary chart.

interactive-decision-tree-visualization

How to create a decision tree visualization in Excel – Tutorial

 

1. Arrange decision and outcome data

In a table (or range) list various decision and outcome combinations. For our case of Trump vs. Hillary in 10 swing states, there will be 2^10 outcomes (1024). Arrange this data in a format like below.

raw-data-decision-tree

2. Calculate the outcome

Based on each of the decision combinations, calculate the outcome and add it as a column to your table. Alternatively, you can also type or import the outcome data (along with decision combinations)

3. Create a pivot table from your data

Since we are going to use slicers for user interaction, we need to create a pivot table from all this data.

Add all the decision variables and outcome to row labels area. Rearrange the pivot in tabular layout. Disable sub-totals and grand totals.

pivot-table-settings-decision-tree

4. Add slicers

Go to Insert > slicer and select all the decision parameters. In our case, we will pick all the 10 state names.

Once all the slicers are inserted, format them.

  • Set up slicer labels in multiple columns
  • Adjust their size
  • Apply a custom style if you prefer.
  • Keep the headers on the slicers for now. We will remove them at a later stage.

Related: Comprehensive guide to slicers – what, how, where, when and why

5. Calculate % of outcomes for each candidate

Now that we have slicers, whenever you make a selection, the pivot table will be filtered. Calculate number of outcomes favoring each candidate and use that to make a stacked bar chart.

stacked-bar-chart-decision-outcomes

6. Add bells & whistles

You can add a few bells and whistles to this pretty slicer controlled stacked bar chart even prettier.

  • Add messages that display %s (or confidence levels etc.) for each outcome.
  • Display the outcome once it is certain (a la head shot of Hillary or Trump)

Related: Display shapes & images in Excel charts

So there you go. Your interactive decision tree visualization is ready.

Oh, last but not least – resetting all slicers

This is the only place we need to open the hood of Excel and mess with internal wiring. Just add a simple macro to reset all slicers in the workbook. Then assign this macro to a text box with the text “Reset all” on it.


Sub resetSlicers()
    'Reset all slicers
    
    Dim sC As SlicerCache
    
    For Each sC In ActiveWorkbook.SlicerCaches
        sC.ClearManualFilter
    Next sC
    
End Sub

Download decision tree visualization workbook

Click here to download decision tree visualization example workbookPlay with the slicers to find outcome of 2016 US election. Copy the ideas to your model / dashboard to showcase outcomes based on user inputs.

Note: this workbook has VBA. Enable macros to enjoy the reset button.

How do you visualize decision trees

As I said earlier, making decision trees in Excel is tricky if not hard. If you have Power BI, you can use R scripts to make a decision tree. But if you are stuck with Excel, creating a dynamic tree like structure is tricky. That is why, I went with the stacked bar chart approach.

What about you? How would you visualize various scenarios and outcomes in Excel? Please share your thoughts and implementations in the comments section.

Want more? Check out these awesome Excel charts

Here are few more inspiring Excel charts for you.

 

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12 Responses to “Analyzing Search Keywords using Excel : Array Formulas in Real Life”

  1. Very interesting Chandoo, as always. Personally I find endless uses for formulae such as {=sum(if(B$2:B$5=$A2,$C$2$C$5))}, just the flexibility in absolute and relative relative referencing and multiple conditions gives it the edge over dsum and others methods.

    I've added to my blog a piece on SQL in VBA that I think might be of interest to you http://aviatormonkey.wordpress.com/2009/02/10/lesson-one-sql-in-vba/ . It's a bit techie, but I think you might like it.

    Keep up the good work, aviatormonkey

  2. Andy Pope says:

    Hi Chandoo,

    You might find this coded solution I posted on a forum interesting.

    http://www.excelforum.com/excel-programming/680810-create-tag-cloud-in-vba-possible.html

  3. [...] under certain circumstances.  One of the tips involved arranging search keywords in excel using Array Forumlas.  Basically, if you need to know how frequent a word or group of keywords appear, you can use this [...]

  4. Chandoo says:

    @Aviatormonkey: Thanks for sharing the url. I found it a bit technical.. but very interesting.

    @Andy: Looks like Jarad, the person who emailed me this problem has posted the same in excelforum too. Very good solution btw...

  5. bob says:

    Realy great article

    "You can take this basic model and extend it to include parameters like number of searches each key phrase has, how long the users stay on the site etc. to enhance the way tag cloud is generated and colored."

    How would you go about doing this? I think it would need some VB

  6. Thiago says:

    Hi,
    I found the usage very interesting, but is giving me hard time because the LENs formula that use ranges are not considering the full range, in other words, the LEN formula is only bringing results from the respective "line" cell.

    Using the example, when I place the formula to calculate the frequency for "windows" brings me only 1 result, not 11 as displayed in the example. It seems that the LEN formula using ranges is considering the respective line within the range, not the full range.

    Any hint?

  7. Hui... says:

    @Thiago
    You have to enter the formula as an Array Formula
    Enter the Formula and press Ctrl+Shift+Enter
    Not just Enter

  8. Gary says:

    is there a limit to the number of lines it can analyse.
    Ie i am trying to get this to work on a list of sentances 1500 long. 

    • Hui... says:

      @Gary
      In Excel 2010/2013 Excel is only limited by available memory,
      So just give it a go
      As always try on a copy of the file first if you have any doubts

  9. Sumit says:

    Apologies if I am missing something, but coudn't getting frequency be easier with Countif formula. Something like this - COUNTIF(Range with text,"*"&_cell with keyword_&"*")

  10. Ray says:

    Apologies if I missed, but what is the Array Formula to:

    1. Analyze a list of URL's or a list of word phrases to understand frequency;
    2. List in a nearby column from most used words to least used words;
    3. Next to the list of words the count of occurrences.

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