Today, I want to talk about something I messed around with recently – figuring out the winners of the “Pirates 20” game. It wasn’t super straightforward, but I got there in the end.
So, first off, I started by just diving into the game itself. You know, playing it a bunch of times, trying to get a feel for how it works and all that. I jotted down some notes as I went along, nothing fancy, just observations on who was winning and what seemed to be working.
After playing for a while, I had a decent pile of notes, but it was all kind of messy. To make sense of it, I decided to organize everything into a simple table. I listed out the players, how many times they won, and any specific strategies they used. This made it a lot easier to see patterns.
Looking For Patterns
With my organized data, I started digging into those patterns. I was looking for anything that the winners had in common. Like, did they always go for a certain strategy? Or did they tend to avoid certain moves? Stuff like that. I highlighted a few things that seemed to pop up a lot in the winning games.
- Tried to identify if there were any common strategies among the winners.
- Noted down any specific moves or tactics that seemed to lead to victory.
- Looked for patterns in the gameplay that could potentially explain why certain players were winning more often.
Then, because I’m a bit of a visual person, I made some simple charts. Nothing too complicated, just some bar graphs to show the win counts and maybe a few pie charts to break down the strategies. This helped me see the data in a different way and made it even clearer which players were coming out on top.
After all that, I stepped back and looked at the whole picture. I compared my initial observations from playing the game with the organized data and the charts. It all started to come together, and I could pretty confidently say who the most successful players were and what they were doing right.
Finally, I wrote it all up in a simple report. I explained my process, showed the data and charts, and laid out my conclusions. It wasn’t anything super formal, but it was a clear and easy-to-understand summary of what I found.
And that’s pretty much it. It was a fun little project, and I learned a bit more about the game and how to analyze data in a basic way. It’s not rocket science, but it’s satisfying to take something messy and turn it into something that makes sense.
