Methods for Chat Knowledge Analytics with Python | by Robin von Malottki | Oct, 2024

Half I: Communication Density Evaluation

Photograph by Mikechie Esparagoza
and obtained from Pexels.com

For a few years now, our communication has change into more and more digital. Whether or not by way of fast textual content messages by way of chat purposes or sending emails, digital messaging has firmly embedded itself in our day by day lives.
This results in a rise within the quantity of digitally produced information.
Since communication entails not less than two people, it will possibly reveal quite a lot of insights concerning the members and their relationship with one another.

This text would be the first a part of a sequence the place I’ll present you the cool issues you are able to do along with your chats and the private insights you may achieve from them. You may at all times discover the Python code and any Tableau recordsdata I create for visualizations on my GitHub profile.

The Aim

Since that is the primary article of the sequence, I want to begin with a high-level evaluation of the metadata from WhatsApp chats. I’ve named the upcoming evaluation Communication Density Evaluation as a result of the principle characteristic of the visualization emerges from the density of the despatched messages.