Okay, so yesterday I was messing around, trying to see if I could pull off something cool with this old dataset I found. It was all about NBA players, and for some reason, dermarr johnson’s name just popped into my head. So I thought, “Why not? Let’s see what we can dig up.”
First thing I did was fire up my Python environment. You know, the usual pip install pandas, scikit-learn – the whole shebang. Gotta get the tools ready, right?
Then, I loaded up the dataset with pandas. Super easy, just *_csv(). Checked the head, tail, made sure everything looked somewhat normal. No weird characters or anything messing things up. Data cleaning, you know, the boring but necessary part.
Next, I wanted to see what kind of stats we were looking at. Points, rebounds, assists – the standard stuff. I was curious about his scoring efficiency. So I calculated field goal percentage, three-point percentage, the whole nine yards. Just basic stuff to get a feel for the guy’s game.
I started messing with some visualizations. Scatter plots of points vs. assists, histograms of his points per game. Just trying to get a sense of his strengths and weaknesses. Nothing fancy, just using matplotlib and seaborn.
Then, I thought, “Let’s get a little more advanced.” I tried a simple clustering algorithm – KMeans – to see if I could group his seasons based on his stats. Figured maybe different coaches or teams brought out different aspects of his game. It kind of worked. Got a few clusters, but it wasn’t super clear-cut.
After that, I fiddled with a simple regression model. Tried to predict his points per game based on other stats like minutes played and field goal percentage. It was nothing mind-blowing, but it gave me a rough idea of how those stats correlated.
Honestly, it was more about just playing around and seeing what I could do with the data. No real earth-shattering discoveries, but it was a fun way to spend an afternoon. And hey, I learned a few things along the way.
Anyway, that’s pretty much it. A quick and dirty dive into dermarr johnson’s stats. Maybe next time I’ll try something more ambitious, but for now, this was a decent little project.
