In this section, we are going to discuss how we can use Python to compute and visualize the KPIs we have discussed in the previous sections. We will primarily focus on analyzing conversion rates using bank marketing data. For those readers who would like to use R for this exercise, you can skip to the next section. We will be using the pandas and matplotlib libraries in Python to manipulate and analyze data and build various charts to accurately report the progress and performances of marketing efforts.
For the exercise in this section, we are going to use the UCI's Bank Marketing Data Set, which can be found at this link: https://archive.ics.uci.edu/ml/datasets/bank+marketing. You can follow this link and download the data by clicking the Data Folder link in the top-left corner. For this exercise, we downloaded the bank-additional...
