Continuous vs Categorical Bivariate Analysis: Boxplot & Histogram
Explore bivariate analysis techniques that compare continuous and categorical variables using boxplots and histograms. Learn to create grouped and colored visualizations with Plotly Express and Graph Objects, enhancing data interpretation skills with real-world examples like customer churn data.
Bivariate analysis: Bivariate histograms
In this section, we will discuss the ways in which we can analyze a continuous variable and a categorical variable together.
Bivariate analysis
Bivariate analysis is a statistical technique that encompasses exploring the relationship between two variables. Bivariate analysis can be implemented when a variable is continuous, and another is categorical, in which we are then able to determine if there is a difference in the distribution of the continuous variable for each category of the categorical variable.
For the next few examples, we will use a customer churn dataset that details whether individuals have left a company. The dataset details ...