Best Corn Producing Counties in Michigan

This repository contains various Jupyter Notebooks designed for data analysis and visualization. The goal of this project is to process, analyze, and visualize data from different sources, utilizing several Python libraries.

Project Structure

• analysis.ipynb: This notebook focuses on in-depth data analysis and explores various methods of processing and summarizing the data.

• discovery.ipynb: This notebook is used for exploratory data analysis, providing insights into the structure and trends in the data.

• fetch_data.ipynb: This notebook contains scripts for fetching and collecting data from different sources, handling APIs, and ensuring the data is clean and ready for analysis.

• maps.ipynb: This notebook focuses on generating maps using the geopandas library.

• requirements.txt: A list of Python dependencies required to run the notebooks in this repository. Make sure to install these packages using pip install -r requirements.txt before running the notebooks.

Installation and Setup

1. Clone the repository:

   git clone <repository-url>

2. Navigate to the project directory:

   cd <repository-directory>

3. Set up a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate   # For Windows: venv\Scripts\activate

4. Install the required dependencies:

   pip install -r requirements.txt