Variable Correlations
In the previous chapter, we saw how data visualizations and applications of descriptive statistics can help you understand how your data is distributed. This information was helpful in identifying extreme outliers and prompting decisions about how to handle those large values.
In this chapter, we’ll continue our data analysis work by visualizing multiple data points together and seeing how different features of our dataset correlate with each other.
This technique is helpful for understanding the relationships between different features in your dataset and determining what information is likely to help a machine learning model.
In this chapter, we’ll cover the following topics:
- Performing multivariate analysis with Plotly.NET
- Identifying variable correlations
