What are density plots and how do I use them?
Density plots are a way to visualize the distribution of a continuous variable. They show the probability density function of the variable, allowing you to see where values are concentrated.
How do density plots differ from histograms?
Density plots provide a smoothed version of the distribution, while histograms use bins to show frequency counts. This makes density plots better for visualizing the underlying distribution.
Can I create density plots in Python?
Yes, you can create density plots in Python using libraries like Matplotlib and Seaborn. They offer simple functions to generate these plots.
What are some common use cases for density plots?
Common use cases include visualizing the distribution of test scores, income levels, or any continuous data where understanding the distribution is important.
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