Ionkansah/Women-Entrepreneurship-Awareness-Project
Domain:
socioeconomicRecord type:
project
Creator:
Ion
Host:
A Beta Project aimed at Exploring factors driving entrepreneurship among women in Sunyani, Ghana, through socio-economic and cultural analyses.
# Assessment of Factors That Drive Entrepreneurship Among Women in Sunyani
This project explores the key factors influencing women's entrepreneurship in Sunyani, Ghana. Using survey data and statistical analysis for a beta testing by the author, it aims to provide insights into the challenges and opportunities women face in entrepreneurial ventures within this context.
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## Table of Contents
- Project Overview
- Features
- Technologies Used
- Dataset
- Setup and Installation
- How to Use
- Project Structure
- Deployment
- Acknowledgments
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## Project Overview
This project is part of a study on women's entrepreneurship in Sunyani. It investigates various factors such as:
- Access to financial resources,
- Business training and mentorship,
- Socio-cultural norms and biases,
- Challenges with market opportunities, and
- Motivations like financial independence and self-reliance.
By analyzing these factors, the project aims to provide actionable recommendations to policymakers, educators, and stakeholders to foster a more inclusive entrepreneurial environment.
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## Features
- **Descriptive Statistics:** Provides an overview of the dataset.
- **Data Visualization:** Graphical representation of key findings using Python libraries.
- **Insights:** Highlights the most influential factors driving entrepreneurship among women.
- **Scalability:** Can be adapted to other regions or sectors.
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## Technologies Used
The project leverages the following tools and technologies:
- **Python** (pandas, matplotlib, seaborn, Streamlit)
- **Jupyter Notebook**
- **Excel** for data preparation and cleaning
- **Git** for version control
- **Anaconda** for environment management
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## Dataset
The dataset contains responses to a survey conducted among women entrepreneurs in Sunyani. Key fields include:
- Demographics: Age, educational background, marital status, number of children.
- Experience: Years as an entrepreneur, prior business experience, formal training.
- Challeng …