Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a Line Plot in Seaborn – one of the most basic types of plots. Line Plots display numerical values on one axis, and categorical values on the other. They can typically be used in much the same way […]

Introduction A heatmap is a data visualization technique that uses color to show how a value of interest changes depending on the values of two other variables. For example, you could use a heatmap to understand how air pollution varies according to the time of day across a set of cities. Another, perhaps more rare case of using heatmaps is to observe human behavior – you can create visualizations of how people use social media, how their answers on surveys […]

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a Violin Plot in Seaborn. Violin plots are used to visualize data distributions, displaying the range, median, and distribution of the data. Violin plots show the same summary statistics as box plots, but they also include Kernel Density […]

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a Bar Plot in Seaborn. Bar graphs display numerical quantities on one axis and categorical variables on the other, letting you see how many occurrences there are for the different categories. Bar charts can be used for visualizing […]

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a histogram plot in Seaborn. We’ll cover how to plot a histogram with Seaborn, how to change Histogram bin sizes, as well as plot Kernel Density Estimation plots on top of Histograms and show distribution data instead of […]

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a scatter plot in Seaborn. We’ll cover simple scatter plots, multiple scatter plots with FacetGrid as well as 3D scatter plots. Import Data We’ll use the World Happiness dataset, and compare the Happiness Score against varying features to […]