Category seaborn-tutorials

Seaborn Pair Grid PairGrid allows you to plot a grid of subplots using the same plot type for data visualization. Unlike FacetGrid, it uses a different pair of variables for each subplot. This forms a matrix of subplots. It is…

Plotting Categorical Data with Seaborn In previous chapters, we learned about scatter plots, hexagon plots, and kde plots, which are used to analyze continuous variables. These plots are not suitable when the variables under study are categorical. When one or…

Introduction to Seaborn Distribution Plots Distribution plots compare the empirical distribution of sample data with the theoretical value of a specific distribution to visually analyze the distribution of sample data. Seaborn facilitates the drawing of distribution plots by providing a…

Data Visualization with Seaborn Data visualization is one step; making the visualized data more appealing is another. Visualization plays an important role in conveying quantitative insights to an audience and capturing their attention. Aesthetics refers to a set of principles…

Seaborn Tutorial Seaborn is an open-source, BSD-licensed Python library that provides a high-level API for data visualization using the Python programming language. Audience This tutorial walks you through the basics of Seaborn and its various features. It is particularly useful…

Distribution of Seaborn Observations In the categorical scatter plots we worked with in the previous chapter, this approach was limited in providing information about the distribution of values within each category. Now, let’s take a closer look at what can…

Introduction to Seaborn Utility Functions There’s no clear definition for the term “utility.” A piece of code can be called a utility if it’s too small to be considered a standalone application but too general to be considered a component…

Introduction to Seaborn Theming The primary goal of creating data visualizations is to convey insights from the data. While styling influences your audience’s understanding of your content, visualizations convey the key message. The final step in data visualization is styling,…

Introduction to Seaborn Multi-Plot Grids In this article, we’ll look at plotting multidimensional data. Plotting the same plot numerous times on different subsets of a dataset is a valuable strategy. It allows viewers to quickly extract valuable insights from complex…

Seaborn Color Palette In visualization, color plays a more important role than any other aspect. When used effectively, color adds more value to a plot. A color palette is the surface on which a painter arranges and mixes paints. Creating…