We can use the seaborn.displot() function to plot a distribution plot in the seaborn Python library. Let’s say we want to see the distribution of the age of passengers from the titanic dataset. To do so, we can use the following Python code: import seaborn from...
A joint plot shows the relationship between two variables with bivariate and univariate graphs. We can use the seaborn.jointplot() function to plot a joint plot using the seaborn Python library. Let’s read the tips dataset from the seaborn library. The dataset...
As we know, a line plot shows the relationship between two variables. We can use the seaborn.lineplot() function to plot a line plot in the seaborn Python library. Let’s read the flights dataset from the seaborn library. The dataset contains various information, such...
Seaborn is a Python library for data visualization. It is based on the matplotlib Python library. The seaborn library provides an attractive and easy-to-use interface for drawing statistical graphics. The seaborn library also integrates closely with the pandas Python...
Using a box plot, one can know the spread and skewness of data. It is a standardized way of displaying the five-number summary of the data: The minimum The maximum The median The first quartile or 25th percentile and The third quartile or 75th percentile A box plot...
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