Inspiration

Self-driven passion for video games and statistics.

What it does

Studies and predicts averages for future generations of pokemon

How I built it

I mainly used Google Colab and kaggle for the dataset.

Challenges I ran into

It was my first time coding in Google Colab and using Statistics and Computer Science skills at the same time, so I had to look up a lot of Python commands to illustrate what I wanted. These included implementing data sets, illustrating graphs and modifying them, and parsing .csv files.

Accomplishments that I am proud of

It was my first time coding in Google Colab so I'm proud that I got what I wanted to do finished. The data makes sense and seems accurate so all calculations were perfect. I'm also really happy that I was able to make a project of data that I was interested in while practicing my statistics skills.

What I learned

I learned how to use Google Colab to make data visualizations, parse through .csv files, and how to make conclusions based off data.

What's next for Pokemon Generations and Average Stats

I am probably going to continue making statistical analyses of things that I find interesting. I think it's really fun and if I get really good at it I could publish some data about important topics in the world such as health cases.

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