# Fish Eye Effect for highlighting selection – Is it effective? [Advanced Charting]

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A few days back, WSJ ran a visualization titled “What’s your pay gap?” It depicts median pay gap between female & male workers in 422 different professions in USA. The chart uses fish eye effect to highlight the selected profession. See below demo to understand the effect.

### Discussion: Is the Fish Eye Effect worth it?

In this context, fish eye effect is useless. As we have too much data, the fish eye effect becomes mere eye candy and draws attention away from important matters at hand.

That said, it is a cool idea to use with smaller data sets.

### Implementation: Fish Eye Effect in Excel

Out of curiosity, I wanted to implement the fish eye effect in Excel. We can highlight selected dots using simple algebra. To stretch the chart elements to left & right requires VBA. Since VBA creates portability issues, let’s focus on the algebra based fish eye effect.

Here is a quick demo of the final outcome.

Assuming you have a bunch of X & Y values (Profession & Salary in this case), to generate the new X&Y values with fish eye effect for a particular X value (say X1),

• Define gap as an integer value, indicating the gap to either side of highlighted value at X1. For the above example, Gap = 10.
• Calculate scaling factor for the left side of Fish Eye as (X1-gap)/X1
• Scaling factor for right side of Fish Eye as (Max X – X1 – gap)/(Max X – X1)
• Use these scaling factors to calculate new X values for all dots.
• Create a scatter plot with these new X values and Y values.
• Apply special formatting to X1 & Y1 values thru another series.
• Set up a form control or VBA to change X1.

### Alternative: Closing the gaps in Pay Gap Fish Eye chart

Okay, as you can see both original and Excel implementation of Fish Eye charts are mediocre. So let’s improve them. For this type of data, we can use interactive tables so that users can filter, sort and highlight the data any way they want. This allows for flexible exploration of data.

Here is a quick demo of the interactive table style visualization of Pay Gap data.

Interactive Pay Gap Analysis Table – Construction summary

• Construct 5 pivot tables, one for each sort order.
• Create a slicer on Profession Category and link it to all 5 pivots.
• Set up a form control to figure out sort order (and dynamically fetch one of the 5 pivot table data sets, using CHOOSE formula)
• Fetch 20 rows of selected pivot table data (use scroll bar position to determine which 20 rows)
• Apply conditional formatting to the 20 rows based on criteria specified.
• Calculate summary information and display it at the top.

Here are the key ideas used during construction of this:

### Video: Fish Eye vs. Interactive Table – Walkthru

Here is a quick video walk thru of both approaches along with some commentary and explanation.

You can watch the video on our YouTube Channel too.

Click here to download the Fish Eye effect workbook. It contains both fish eye and interactive table visualizations. Examine the calculations tab for all the formulas.

### How would you visualize this data?

Do you like the Fish Eye effect chart? How would you visualize this data? Please share your thoughts and implementations in the comments.

### More case studies

Check out below tutorials and case studies to learn how to visualize complex data in Excel.

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### 3 Responses to “Fish Eye Effect for highlighting selection – Is it effective? [Advanced Charting]”

1. ET says:

I agree that the fish-eye is just eye candy. It doesn't add any real value.

The chart uses jumbled logic (described in the next paragraph) that can be fixed easily. It's a nice-looking chart, just not all that functional, which selection boxes could help with. Selections could include industry (eg, construction, tech, medical...), role (Sales, Operations, Accounting/Finance...), and other meaningful categories. Each selection could return a chart with fewer data points or "zoom in" on that section of the chart, making it far easier to interpret and find the answer, "What is my pay gap?" With mutually exclusive selections people could get answers they want, for example, "how does my role compare across the board?" Or, "How does my role compare across just my industry?" Or, how does my industry compare to others?"

Now for the elephant-in-the-room reason the chart misses the goal. Reporting 101 tells us that visuals need to answer the question directly. In this case, the chart isn't even playing the same game as the question: macro-ball instead of micro-ball. The plethora of data points answers a macro economic question (i.e., "How endemic is the pay gap issue?") whereas the question posed is micro economic ("What's Your Pay Gap?"). This mixed metaphor in the chart makes scoring the micro answer as much fun as playing Cricket with a shuttlecock.

2. santosh says:

Dizzying, so much trouble for suggesting Women earn less than Men in most of the industries..

3. crispo says:

Interesting

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