This is the final project of IS 477 Data Management, Curation & Reproducibility in Fall 2023 by Shiyuan Liu. This is This project uses the Mushroom dataset from the UCI Machine Learning Repository, which records data of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family. The dataset contains useful features about the mushrooms such as appearances, odor, population, habitat etc. This project downloads and validates the dataset, generates a profile of the dataset, and does a simple data visualization of the frequency of mushroom odor types.
In the analysis section, this project visualized the frequencies of mushroom odor types using a histogram (located in results/odor.png). The graph shows 9 types of odor in the dataset and among them, mushrooms without odor has the highest frequency while "musty" mushrooms occur the least frequent.
This project downloads and validates the Mushroom dataset, generates a profile of the dataset, and does a simple data visualization, as shown in the following workflow graph:
To reproduce the work, first clone the repository, then pull the docker image by running the following command:
docker pull row0rl/is477-fall2023:final-project
Then, run the script by running the following command:
docker run --rm -v ${PWD}:/is477 row0rl/is477-fall2023:final-project snakemake --core 1 prepare
docker run --rm -v ${PWD}:/is477 row0rl/is477-fall2023:final-project snakemake --core 1 profile
docker run --rm -v ${PWD}:/is477 row0rl/is477-fall2023:final-project snakemake --core 1 analyze
This repository uses MIT License. This allows for the sharing and adaptation of the software for any purpose, including personal, commercial, academic, or non-profit projects. Users are free to modify, distribute, and sublicense the software, both in source code and binary form, provided that they include the original copyright notice and give appropriate credit to the original authors.
The data in this repository is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.
Mushroom. (1987). Mushroom. UCI Machine Learning Repository. https://doi.org/10.24432/C5959T