### Introduction

Hello. My name is Brandon Conrady and I am currently early on in my data science studies in college. This is my first data set, so enjoy!

### Context

I am currently taking a statistics course and this got me curious as to finding distributions from samples gathered in my day to day life. Since I play video games, I turned to Minecraft. For those who don't know, Minecraft has a block called the composter which allows you to input an item such as wheat. The item disappears, and has a percent chance of raising the compost level within the composter. When the compost level reaches 7, it creates another item called bone meal, which can act as fertilizer to grow plants. I wanted to collect this data and throw it onto Kaggle to see what people could come up with using it.

### Content

Each csv file contains samples from when the item specified was used on the composter. Most contain 2000 entries. However, the cookies dataset contains 3000 since it is more efficient at creating bone meal. I may update to add further entries to each csv file, but seeing as the current data already approximates a distribution I am currently unsure if any more entries would be useful.

### Acknowledgements

Minecraft is the intellectual property of Microsoft, although the datasets themselves don't involve any direct usage of the product itself, rather records of observations gathered playing the game. However I should state the obvious that I don't own the game itself.

### Inspiration

I wanted to see if, based on the data provided, people could estimate the probability that for a given item, adding one of it to the composter will raise the compost level. I am also just generally curious as to what applications people can come up with given the data provided. By all means take it and run with it!