Okay, so I’ve been diving deep into the world of football data lately, specifically focusing on TideFans. I wanted to create something, you know, actually useful, and I thought visualizing some player stats would be a cool project. This is how it all went down.
Getting Started
First things first, I needed data. TideFans has a ton, so I had to figure out what exactly I wanted to focus on. I decided to start simple: basic player stats like touchdowns, yards, tackles, etc. – you know, the usual suspects.
I spent a good chunk of time just clicking around the TideFans site, getting a feel for how the data was structured. It wasn’t exactly presented in a super-organized way, so I knew I’d have to do some manual work to collect what I needed.
Collecting the Data
This was probably the most tedious part. No fancy APIs or anything, just good old-fashioned copy-pasting. I grabbed data for a handful of players, focusing on a few key stats. I threw it all into a simple spreadsheet, just to keep things somewhat organized.
- Player Name
- Touchdowns
- Yards
- Position
Wrangling the Data(just simple show)
The I just simply collect them to a excel file to have a look.
I will try to figure out whether there some hiden patterns inside.
The Finished(for now) Product
The first glance of the data is kind of messy, so I will do some data cleaning stuff later.
It was a good learning experience, though. Reminded me that real-world data is rarely perfect, and sometimes you gotta get your hands dirty to make something happen. Plus, it made me appreciate the power of even simple visualizations – seeing those numbers come to life was pretty satisfying!
