Course: Data Visualisation with Python: Seaborn and Scatter Plots

So far we’ve generally used 95% for confidence intervals. However, this is only by convention, and we can choose any confidence interval we want. We’ve seen that the values for …

Before we delve any deeper and get ready for an immersive experience of learning different features of styling and visualising the data creatively in data analytics, uncover the concepts of …

Scatter plots are used to show the values of discrete data, and line plots are used to show the values of continuous data where ‘in-between’ values can be interpolated. Similarly, …

Using different plots to compare groups of data We can use selective highlighting to compare groups of data on the same plot. We do not need to go into this …

Sometimes you might want to highlight selected data points on a plot with colours and highlight some data points with different colours. Other times, you might want to present data …

Line plots A line plot (also known as a line chart or curve chart) is a graph that displays information as a series of data points using a number line …

So far, you have been learning exclusively about scatter plots. However, of course, Seaborn also supports other types of plots. Let us investigate how Seaborn makes your life easy with …

Previously, we learned to draw a scatter plot with Seaborn and to add a third dimension or variable for comparison using the hues and styles. Sometimes we might need to …

Seaborn plots values from standard Pandas data structures. It is included with Anaconda, so if you’ve decided to use Anaconda to complete this course, there’s no need to install anything. …

Numerical plots Plots are the way for visualising the relationship between variables. These variables can either be numerical (categories such as a group, class, or division) or categorical. We will …

So far, you learned to explore and draw scatter plots using Seaborn. However, scatter plots are not the only ones that can be created using Seaborn. There are also other …

Before we start learning how to display uncertainty using Python, watch this video to: familiarise yourself with the constant changes in errors and uncertainty understand the various methods of preparing …

Before we delve any deeper and get ready for an immersive experience of learning to build plots using Seaborn, watch this video to: explore the various features of Seaborn and …