Hacker-News-Posts-Analysis

In this project, I'll compare two different types of posts from Hacker News, a popular site where technology related stories (or 'posts') are voted and commented upon. The two types of posts we'll explore begin with either Ask HN or Show HN.

Users submit posts to ask the Hacker News community a specific question, such as "What is the best online course you've ever taken?" Likewise, users submit posts to show the Hacker News community a project, product, or just generally something interesting.

We'll specifically compare these two types of posts to determine the following:

• Do Ask HN or Show HN posts receive more comments on average?
• Do posts created at a certain time receive more comments on average?
• Do Ask HN or Show HN posts obtain more points on average?
• Do posts created at a certain time obtain more points on average?

The dataset (from Kaggle) we're working with was already reduced from almost 300,000 rows to approximately 20,000 rows by removing all submissions that did not receive any comments, and then randomly sampling from the remaining submissions.