We can use pandas.DataFrame.shape to print the shape of a dataset or the number of rows and columns of a dataset. In this article, we will read the dataset from a CSV file and then, use pandas.DataFrame.shape to print the shape of the dataset. We can use the following...
In Python, we can use the pandas.DataFrame.skew() function to calculate the skewness of each attribute of a dataset. But, before we calculate that, let’s first understand what skewness is. What is skewness? Skewness is a measure of asymmetry in a distribution. When a...
Let’s say we have a categorical column that contains strings. For example, let’s say we are reading the CSV file “iris.csv” in which there are five columns. The first four columns specify the sepal length, sepal width, petal length, and petal width of flowers. And,...
A pie chart is a circular statistical graphic, that is divided into several slices. And each slice represents a numerical proportion. For example, let’s look into the titanic dataset. The dataset contains information about the embark town of each passenger. Let’s say...
The Kernel Density Estimation or KDE plot shows the probability density function of continuous or non-parametric data variables. For example, let’s look into the “titanic” dataset. The dataset contains the age of each passenger. But, there are some missing values. So,...
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