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Mastering Plotly and Dash Data Visualization with Python

Continuous vs. Continuous Bivariate Analysis: Scatter and Bubble

Explore how to visualize relationships between continuous variables using scatter and bubble charts in Python with Plotly. Understand how to interpret patterns, correlations, and enhance visual analysis by incorporating a third variable through bubble sizes. Gain practical skills to perform bivariate and basic multivariate analysis using real-world datasets and Plotly’s flexible plotting options.

We'll cover the following...

Continuous vs. continuous variables

In this lesson, we explore how to visualize continuous variables together. In doing so, we will explore bivariate and basic multivariate analysis through scatter plots and bubble charts.

We’ve seen a multitude of ways in which we can analyze a categorical variable with a continuous variable. In this section, we will learn to analyze continuous variables together. For the first few examples, we will look at some global health data in the year 2018.

Python 3.8
# Import libraries
import pandas as pd
# Import dataset
health = pd.read_csv('/usr/local/csvfiles/health.csv')
# Show dataset
print(health.head())

Scatter plot

Here we discuss the concept of a scatter plot and when we should plot one (or more than one).

A scatter plot is used when we wish to get an insight into the relationship between two variables XX and YY ...