Implementing Automated EDA using custom functions

Sometimes, when performing Automated EDA, we may require more flexibility around the visual options and analysis techniques. In such cases, custom functions may be preferable to the libraries discussed in the preceding recipes since they may be limited in providing such flexibility. We can write custom functions using the preferred visual options and analysis techniques and save them as a Python module. The module ensures our code is reusable, which means we can easily perform EDA automatically without having to write several lines of code. This gives us significant flexibility, especially because the module can be constantly improved based on preferences. Most of the heavy lifting happens only when we are initially writing the custom functions. Once they have been saved into a module, they become reusable, and we only need to call the functions in single lines of code.

We will explore how to write custom functions to perform Automated...