Alright, let me tell you about this thing I was messing with the other day: richard dumas stats. I ain’t no pro, just a regular dude tinkering around, so bear with me.
First off, I stumbled upon some data, right? Looked like it had some info on richard dumas – some kind of performance metrics, maybe? Honestly, the file name was all I had to go on. So, I started by just dumping the whole thing into a spreadsheet. Yeah, Excel. Old school, but it works.
After I got the data in a readable form, I began cleaning. There was a lot of garbage in there, you know? Dates were messed up, numbers were formatted weird, that sort of thing. Spend a good chunk of time just getting everything consistent. Used find and replace a ton. It wasn’t glamorous, but it’s gotta be done.
Then I started messing with formulas in Excel. I wanted to see averages, highs, lows, all that basic jazz. Used the AVERAGE, MAX, and MIN functions, naturally. It was cool seeing the overall numbers. Then I grouped stuff by week, and then by month to look for trends.
I wanted to visualize the data a bit better, so I tried some basic charts. Line graphs are pretty handy for spotting trends. I made a few bar charts too, just to compare things side-by-side. Excel charts are okay, but they’re not exactly beautiful.
Things got a bit more interesting when I thought about correlations. I figured I should try to see if any two stats were related. Used the CORREL function in Excel. It’s pretty simple. You give it two sets of numbers, and it spits out a number between -1 and 1. Positive means they go up and down together, negative means when one goes up, the other goes down. Zero means they are unrelated.
I even exported the cleaned data to a CSV file and tried playing around with Python. I used Pandas, which is like Excel on steroids, to do the data crunching. It’s way faster when you’re dealing with a ton of data. I could also create fancier charts with Matplotlib. It took me a while to remember how to plot a simple scatter plot.
I wasn’t going to stop there, so I decided to try something a bit different – a basic linear regression model, also with Python and scikit-learn. Just something basic to see if I could predict future values based on past data. It was mostly copy-pasting code from Stack Overflow, but hey, it worked!
I wouldn’t say I discovered anything groundbreaking, but it was cool digging around in the data and pulling out some insights. Shows how numbers can tell a story once you mess with them a bit.
Overall, it was a fun little project. Even with just Excel and some basic Python skills, you can get a pretty good handle on what’s going on in a dataset. I mean, I did. Give it a shot!
