This is a fork of Glycemic Index Visualisation by Mandar Gite

Glycemic Index Visualisation

The glycemic_index_analysis.py script contains the following functionality:

Accesses data from a webpage using Pandas.

• Cleans the data by resetting the index, deleting rows without glycemic index values, and removing the first and last rows of the dataframe.
• Creates several plots using Matplotlib and Seaborn:
  • Bar plot of the top 10 foods with the highest glycemic index values.
  • Bar plot of the bottom 10 foods with the lowest glycemic index values.
  • Scatter plot of the glycemic index vs. glycemic load for all foods.
  • Bar plot of the top and bottom two fruits by glycemic index.

Requirements:

• Python 3.6 or higher
• Pandas Python library for data manipulation and analysis
• Seaborn Python data visualization library for creating attractive and informative statistical graphics
• Matplotlib Python library for creating static, animated, and interactive visualizations in various formats
• Jypyter Notebook Open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text

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Installation

From Terminal

Clone this repository into a folder of your choice:

git clone github.com/generallynonsensical/glycemic_index_visualisation

then

cd glycemic_index_visualisation

Create a Python Virtual Environment in the folder:

python3 -m venv .venv

then

Source .venv/bin/activate

Install Pandas Seaborn Matplotlib and Jupyter using pip:

pip install pandas seaborn matplotlib notebook

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Usage

From terminal, in project directory, run:

jupiter notebook

Jupyter Notebook is then opened in browser at http://localhost:8888

Contributing

Feel free to fork this repository and submit pull requests if you have any suggestions or improvements.

License

This project is licensed under the MIT License.