Let’s say we are reading the titanic dataset. As we learned from this article, we can use the following code to know the percentage of missing values in each column of the dataset. import seaborn df = seaborn.load_dataset("titanic") print(df.isnull().mean()*100) The...
Scikit-learn or sklearn is a machine learning library for the Python programming language. This library provides various classes and functions for classification, regression, and clustering algorithms. The sklearn library is mostly written in Python and it is built on...
A heatmap can be used to plot the correlation between numeric columns in a dataset. Let’s take the example of the titanic dataset. The dataset contains various numerical information, such as the age of passengers, fare, the number of relatives or siblings who are on...
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...
A count plot shows the counts of observations in each category using bars. In other words, each categorical variable is represented with a bar and the length or height of the bars is proportional to the values they represent. Let’s look at an example. Let’s say in the...
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