![]() ![]() These allow you to customize the plots to a significant extent. The Seaborn stripplot() function offers many different parameters. Understanding the Seaborn stripplot Function This is quite similar to the swarmplot function, which provides a more structure jitter to the plots. They add a certain amount of jitter to the dots so that you can better understand the distribution of different data points. Comparing Strip Plots to Different Data Visualizations Take a look at the graphs below, that compare the different visualization options available, including strip plots, scatter plots, violin plots, and box and whisker plots. Using visualizations such as scatter plots leads to results that can be hard to understand (just take a look at the top right visual below). For example, using techniques like bar plots means you need to aggregate values into a single value. Visualizing numeric distributions over categorical variables can be a challenging task. What are Strip Plots and When Would You Want to Use Them?īefore diving into creating Seaborn strip plots, let’s dive into what they are why they are useful.
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