Is there a problem with this set of plots?

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In summary, the purpose of these plots is to visually represent data and allow for easy comparison and analysis of different variables. The accuracy of the plots depends on the quality of the data and the methods used. They can also help identify trends or patterns in the data. It is important to carefully check for outliers or anomalies in the data before creating the plots. To improve the plots, appropriate visualization techniques, relevant variables, and accurate data are crucial considerations. Additionally, the audience's level of understanding should also be taken into account.
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Spinnor
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Consider a graphic from May 2004 Physics Today article, Light's orbital angular momentum.

upload_2017-5-7_13-41-3.png


Note that for larger l, the "hole" in the beam in the 2nd column gets bigger but the "hole" in the 3rd column basically stays the same size. I would think that both "holes" should grow with increasing l?

Thanks!
 
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If you measure the holes in the 3rd column they do seem to get bigger.
 

1. What is the purpose of these plots?

The purpose of these plots is to visually represent data and allow for easy comparison and analysis of different variables.

2. Are the plots accurately representing the data?

The accuracy of the plots depends on the quality of the data and the methods used to create them. It is important to carefully check the data and the methods used to ensure accurate representations.

3. Are the plots displaying any trends or patterns?

The plots can help identify any trends or patterns in the data, such as a correlation between variables or a change over time. It is important to carefully analyze the plots to identify any significant trends or patterns.

4. Are there any outliers or anomalies in the plots?

Outliers or anomalies in the data can greatly impact the accuracy and interpretation of the plots. It is important to carefully examine the data and remove any outliers or anomalies before creating the plots.

5. How can these plots be improved?

The plots can be improved by using appropriate visualization techniques, selecting the most relevant variables, and ensuring the accuracy and clarity of the data. It is also important to consider the audience and their level of understanding when creating the plots.

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