Okay, so today I’m gonna walk you through how I messed around with some matt morris stats. It was kinda a spur-of-the-moment thing, but I figured, why not document it?
First off, I started by just googling “matt morris stats”. I know, super original, right? I just wanted to get a baseline, see what kind of info was already out there. Scrolled through a bunch of sites – some sports news sites, a few random stat aggregators, the usual suspects. I was looking for anything interesting, you know? Anything that jumped out.
Digging Deeper
I wasn’t really finding anything that blew my mind. So, I decided to change my approach. Instead of just searching for the raw stats, I started thinking about what I wanted to know about matt morris. Like, was there a specific skill I was curious about? A certain period in his career I wanted to analyze?
- I tried searching for stuff like “matt morris free throw percentage career”.
- Then, I messed around with “matt morris stats vs [rival player]”.
- I even went down a rabbit hole of trying to find obscure stats, like “matt morris assist to turnover ratio”. Good luck finding that easily!
Scraping and Wrangling (A Little Bit)
Okay, so at this point, I was still mostly copy-pasting stuff into a spreadsheet. Real advanced, I know. But, I did try to get a little fancier. I wanted to see if I could pull some data directly from one of those stat sites. I ain’t gonna lie; I’m no coding wizard. So, I used a free online tool for web scraping. I found one that let you point and click on the data you wanted, and it would try to grab it for you. It was clunky, and it definitely didn’t work perfectly, but it saved me some manual work. I copied the data into excel.
Visualizing the Data (Because Numbers Are Boring)
Once I had some data in my spreadsheet, I wanted to make it look, you know, cool. I’m talking charts, graphs, the whole shebang. Excel has some pretty decent charting tools, so I played around with those. I made some bar graphs comparing different seasons, a line graph showing his scoring trend over time, all that jazz. It’s much easier to look at the visual than staring at raw numbers.
Key Observations
Honestly, the biggest takeaway from all this wasn’t some earth-shattering revelation about matt morris’s game. It was just a good reminder that even a simple data project can be pretty interesting. And it doesn’t have to be super complicated to be fun. I mean, sure, I could have spent hours writing Python scripts and building fancy dashboards. But sometimes, a spreadsheet and some creative googling is all you need to scratch that analytical itch.
Lessons Learned
If I were to do it again, I’d probably spend a little more time thinking about my initial questions. Having a clearer idea of what I wanted to find out would have helped me focus my research and avoid getting lost in the weeds. Also, I’d probably try to learn a little bit more about web scraping. Those online tools are okay, but being able to write my own code would give me way more control.
