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...
Let’s say we want to know about the distribution of data in one column of the dataset. We may be interested in knowing the same before filling in missing values in a column. For example, if the distribution of data is normal, then we can fill in the missing values...
A pie chart is a circular statistical graphic, that is divided into several slices. And each slice represents a numerical proportion or a percentage. For example, let’s look into the titanic dataset. The dataset contains information about the embark town of each...
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