As such, this article will take you through the steps on how to conduct a churn analysis. This article is summarized in the Venn diagram below, topped with a dating sauce.
Why most articles on churn aren’t helpful
No one likes to be left out, neither do businesses. To minimize this, we analyze churn. When I started learning about churn analysis I took to Medium and Kaggle. Having read many of the articles and notebooks out there I came to a few conclusions that motivated me to write this article. Most works are either:
o Too** Technical: **Lots of code, little reasoning. We work with data that is a depiction of reality yet many articles lack communication.
o Too *Theoretical: *Lots of reasons why you should do a churn analysis, perhaps some math, lack of clear examples. Often following the hype.
o Too Specific: Business is practical, most articles dive too deep in the latter two parts to be of significant value to business. Analysts deliver value through actionable insights. How to get such insights in general?
And well, some works are just too dull! So, I’ll be wrapping our analysis in the world of dating. After all, we don’t want Jack to be alone forever :)
As such, this article will take you through the steps on how to conduct a churn analysis, I promise you that there will be code and that I will make it clear. This article is summarized in the Venn diagram below, topped with a dating sauce
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
Guide to Python Programming Language
Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it?
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).