Alright, so check it, today I’m gonna walk you through this little project I messed around with: Stephens versus Mertens. Don’t expect anything fancy, just a heads-up of how I tackled it.
First off, I grabbed the data. Found some stats lying around online about their matches – wins, losses, sets, you name it. I really just copied and pasted it into a spreadsheet. Nothing fancy, just wanted the raw numbers.
Then, I started to clean it up. The data was all over the place, you know? Different formats, missing values. So, I went through each column, fixed the inconsistencies, filled in the blanks (where I could reasonably guess), and made sure everything lined up.
Next up, I started playing around with some calculations. Stuff like win percentages, average sets per match, that sort of thing. Just basic stuff, really. Used some simple formulas in the spreadsheet to get those numbers. Kept it dead simple.
Now, this is where it got a little bit more interesting. I wanted to see how they performed on different surfaces – clay, hard, grass. So, I broke down the data by surface type and recalculated those win percentages. Took a bit of time, but it gave me some cool insights.
After that, I tried to visualize the data. Bar charts, line graphs – the whole shebang. Just to see if any patterns jumped out. Turns out, Mertens does way better on hard courts and Stephens is amazing on clay. Who knew?
Finally, I wrote a little summary of my findings. Nothing too formal, just a few paragraphs highlighting the key stats and trends I noticed. Basically, a recap of what I learned from the data.
And that’s pretty much it! Stephens vs Mertens, data analysis edition. Hope you found it interesting. Maybe you can use these steps for your own projects. Peace out!
