So, I got this idea to try and predict something about Osaka. I don’t know, maybe the weather, maybe lottery numbers… just something! It felt like a fun little project to mess around with.
Getting Started
First, I needed some data. I mean, you can’t predict anything without information, right? So, I started digging around. I looked at some weather websites, checked out some historical data, and even browsed a few local news sites. It was a bit of a mess, to be honest, lots of random numbers and articles.
Cleaning Up the Mess
I quickly realized that I had to organize this stuff. I dumped everything into a big spreadsheet. It looked terrifying at first, just a wall of numbers and text. But, I started separating things: dates in one column, temperatures in another, news headlines somewhere else. It took a while, but slowly, it started to look like something I could actually work with.
Finding Patterns (or Trying To)
This is where I got stuck for a bit. I’m no data scientist, so I wasn’t really sure how to find any real patterns. I tried making some charts, you know, those line graphs you see in presentations. Some of them looked interesting, with a few ups and downs, but I wasn’t sure if they meant anything. It was kind of like looking at clouds and trying to see shapes.
Simple Attempts
Okay I simplify my target into some easily data sources,for example,the temperture.
- Average: I tried averaging the temperature data for the past few weeks. It gave me a number, but it didn’t feel very…predictive.
- Highs and Lows: I looked at the highest and lowest temperatures recorded, thinking maybe there was a range I could work with. Still pretty basic.
The “Prediction”
After all that, I had to make a “prediction,” even if it was a pretty rough one. Based on the averages and the recent trends, I guessed that tomorrow’s temperature would be somewhere around, say, 25 degrees Celsius. I’m probably way off, but hey, it’s something!
Lessons Learned
Honestly, this whole thing was more about the process than the actual prediction. I learned that:
- Data is messy.
- Organizing data is important (and time-consuming).
- Finding patterns is hard!
- Even a simple prediction requires some work.
It was a fun experiment, though. Maybe I’ll try again sometime, with better tools and a bit more knowledge. Who knows, maybe I’ll actually predict something accurately one day!
