Seaborn
Explore how Seaborn simplifies statistical data visualization with plots like scatter, bar, histogram, line, and box plots. Understand key concepts such as correlation and outlier detection while applying these visual tools to real datasets.
Seaborn
We will learn how seaborn is used for different types of visualizations in data science. It is based on Matplotlib, which is also a famous visualization library used for statistical graphs. Furthermore, we will look into different code snippets to show different visualization types.
Scatter plot
The scatter plot is one of the most widely used plots in the industry, and it is used to study the relationship between two numeric variables. It plots the two variables on the Cartesian plane. Values of one variable are on the x-axis, and values of the other variable are on the y-axis.
We’ll look at the House Prediction Dataset from Kaggle. We’ll also look at the scatter plot between different variables.
Correlation
Correlation is used a lot in the industry; it gives us a measure of the linear relationship between two variables and how much impact one variable ...