Sort of like a histogram. This is the best choice if you're wanting to visualize the distribution of your data This will create a visualization with your data points similar to the appearance of a violin plot. Standard: With this method, the width of the distribution of data points is proportional to the number of individual points at that Y value.We've introduced the ability to choose between three different methods for plotting your data points when creating a scatter plot. We heard you, and now the choice is yours. Still others liked our newest algorithm focused on minimizing data overlap. Others liked scatterplots that provided a good estimate for the overall distribution of the data. However, after these changes, we learned a very important lesson: you can't please everyone! Some people preferred the visual style of scatterplots prior to Prism 8.
To address this, we made some additional changes in an attempt to prioritize minimizing overlap of data points. While many people were happy with this change, others were concerned that with some data sets, many data points began to overlap in the scatterplot.
We focused on providing a sense of the overall distribution of the data.
Being able to visualize your data is important! Being able to control HOW to visualize your data may be even more important! When we released Prism 8, we changed the way scatterplots were visualized.
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