Predicting the Potability of Water
This is the first part of an exploratory data analysis project examining characteristics of about 3000 water samples in relation to potability. I obtained this data project as part of the beta testing of the Lonely Octopus. It comprises 9 primary water sampling characteristics and a binary outcome indicating the sample was potable or not. In the first stage of this project, I focused utilizing loops in python to visualize the data. You can preview the results here and find the Jupyter Notebook syntax on GitHub.
Figure 1: A correlation plot of each of the 9 water potability characteristics.