I’m working on a project where I need to monitor television audience metrics for sporting events. I want to create a system that can store viewership data like average viewers, peak audience numbers, and compare them with historical records. Does anyone know what’s the best approach to build something like this? I’m thinking about creating a database to track different sports broadcasts and their performance over time. Maybe I could use APIs to pull Nielsen ratings or similar data sources. Has anyone worked with viewership analytics before? What programming languages or frameworks would you recommend for handling this type of data analysis? I’d appreciate any suggestions on how to structure the database tables and what metrics are most important to track for broadcast performance comparisons.
R’s perfect for statistical analysis. It’s got solid libraries for viewership data too.
Yeah, this is definitely more of a data analytics thing. Best bet is to check out programming communities or data science forums. They’ll have the expertise on APIs and database design you need.
This sounds way more technical than gaming stuff. You’re basically building a data pipeline with visualization tools. I’d start with Python - it’s got tons of data analysis libraries. But honestly, you’d get better help on a programming subreddit. We’re better with frame rates than Nielsen ratings here.