Data Mining, Analysis, and Visualization

So far, we have learned about some of the core Python libraries and techniques regarding HTTP/HTTPS communication, reading content, browser automation, and more from a data extraction perspective.

Data is the new oil (we all agree about this), but solely obtaining or collecting data does not provide any significant value. Collected data is stored in files (JSON, CSV, and XML), databases, and more. Stored data needs to be identified, searched, arranged, cleaned, transformed, explored, or modeled using algorithms and can sometimes be used by many services and applications before there’s any profit from the information from it.

Various technologies and concepts are involved in identifying and collecting data and processing it in order to extract some value. Data analysis implements and executes logic and algorithms using data-related applications and tools to generate valuable information. Visualization, on the other hand, displays...