Since October is Breast Cancer Awareness Month, I wanted to do some type of analysis using a breast cancer dataset. There is a popular dataset available on Kaggle and the UCI Machine Learning Repository that contains diagnosis data which looked like a good contender for an interesting analysis.
If we use data from Google Search trends, an excellent tool for evaluating the relative interest in a topic, then popularity in Pumpkin Spice Lattes reached its peak in September 2015. Subsequent years have seen a slowdown in searches for the Fall delicacy, and 2019 marked the lowest interest since that peak in 2015.
This past weekend, this small thing called the “Emmy Awards” happened. Many people care a lot about this. Those people definitely had an opinion about Game of Thrones. Meanwhile, I apparently don’t watch any worthwhile television because I have watched exactly zero of the shows that were nominated for the two biggest awards — Outstanding Comedy Series and Outstanding Drama Series.
In this day and age, we have so many choices when it comes to making online purchases, watching a TV show or movie using a video streaming service, or finding songs to listen to online. Given the plethora of choices, companies need some way of curating content for customers, since browsing through millions of products on a website is just not feasible.