This project is a Streamlit app that analyzes the food choices and preferences of college students based on the "Food choices and preferences of college students" dataset.
Food choices Streamlit app here.
The dataset used in this project is the "Food choices and preferences of college students" dataset, obtained from Kaggle. This dataset includes information on food choices, nutrition, preferences, childhood favorites, and other information from college students. There are 126 responses from students.
To run the Streamlit app locally, follow these steps:
- Clone the repository:
git clone https://github.com/NnekaAsuzu/analyzedataset.github.io - Navigate to the project directory:
cd Food-Choices-Streamlit-App - Install dependencies:
pip install -r requirements.txt - Run the Streamlit app:
streamlit run app.py
Once the Streamlit app is running, you can interact with it in the following ways:
- Select different options to explore various aspects of food choices and preferences.
- Use the interactive visualizations to gain insights into the dataset.
- Analyze the data based on different demographic factors.
- Interactive data visualizations.
- Filtering and sorting options.
- Data analysis based on demographic factors.
- Insights into food preferences and choices.
For inquiries or feedback, please contact Nneka Asuzu at nnasuzu[at]gmail[dot]com