Long Days

What Day is Today?

Slow Watch

Today was one of those days when I thought it was much later on in the week than it actually was. I'm starting to feel very stretched and realize how important rest is to the learning process. It's easy to forget that there are only 24 hours in the day when you live in NYC where people really fill up their schedules to the max. So today, I got started with scraping data for my now- approved project idea.

Project Ideas

Movie Critic For our 2nd Project, aka: Luther, I decided to do a few things. My MVP (minimum viable product) will be a measurement of movie critics. I will scrape data from metacritic.com and possibly others if I have time and get data about reviews. My goal is to find out which movie critic most closely aligns with users. By plotting a linear regression for the critic's review score vs the movie's average user review score, we can see how closely correlated the two are. And basically, the critic that has the highest correlation coefficient is the one that most captures the heart of the nation. Or does it? (Still much thinking left to do!)

Hopeful Thinking

Rotten Tomatoes Now, that would be my MVP, but I am hoping that if I can finish that quickly, I want to create a new movie rating index. This one would account for a few different factors. Rotten Tomatoes and Metacritic only use critic reviews to calculate their final scores. I think a more useful metric would take into account not only just critics' reviews, but also user reviews and gross domestic revenue. I'm not exactly sure what the weighting and normalizations would look like, but I think it would be an interesting project!

What I Learned Today:
Rotten Tomatoes' and Metacritic's movie index scores only take into account critics' reviews.