This dataset provides a comprehensive overview of the Genese Data Set, which focuses on entrepreneurial education for Amazon’s sustainable development program from 2022 to 2023. The data is sourced from the Harvard Dataverse and offers detailed insights into local engagement, geolocation, and participation metrics. The dataset is structured to include key metrics such as local area, latitude, longitude, front type, cycle, number of participants, and total number of participants, providing a robust foundation for analyzing program engagement and impact.
Key Features
- Local Engagement: The dataset includes a unique identifier for each local area, facilitating easy identification and tracking of engagement metrics.
- Geolocation: Information is presented by latitude and longitude, allowing for spatial analysis and mapping of program locations.
- Front Type: Data is segmented by front type, including "Discord" and "Academia Gênese," providing insights into different engagement platforms.
- Cycle: Information is categorized by cycle, offering insights into participation trends over different program phases.
- Participation Metrics: The dataset includes the number of participants and total number of participants, allowing for detailed analysis of engagement levels.
Potential Uses
- Program Evaluation: Assist in evaluating the effectiveness and impact of the Genese Program, which is crucial for program improvement and scaling.
- Spatial Analysis: Support spatial analysis and mapping of program locations, aiding in the identification of high-engagement areas.
- Entrepreneurial Education Research: Inform research in entrepreneurial education and sustainable development, providing detailed data on participant engagement and program cycles.
- Policy Development: Provide insights into program engagement and impact, informing policy development and resource allocation for similar initiatives.
- Strategic Planning: Enable strategic planning for future program cycles by providing a clear snapshot of current engagement levels and trends.