Seaborn
Explore how Seaborn supports various data visualizations essential in data science. Learn to create scatter plots, bar charts, histograms, line plots, and box plots with real datasets to understand relationships, distributions, trends, and outliers.
Seaborn
We will be looking into 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 famous 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 will be looking at the House Prediction Dataset from Kaggle. We will also be looking at the scatter plot between different variables.
Correlation
Also used a lot in the Industry, correlation gives us the measure of the linear relationship between two ...