diff --git a/Federal-Grants-and-Funding-Opportunities-Analysis/Dataset/README.md b/Federal-Grants-and-Funding-Opportunities-Analysis/Dataset/README.md new file mode 100644 index 000000000..c6776cc16 --- /dev/null +++ b/Federal-Grants-and-Funding-Opportunities-Analysis/Dataset/README.md @@ -0,0 +1,45 @@ +# Federal Grants and Funding Opportunities Dataset + +## Overview +This dataset provides comprehensive information on federal grants and funding opportunities spanning the years 2004 to 2024. With a total of 75,640 opportunities, it serves as a valuable resource for understanding the dynamics of federal funding movements. + +## Features +The dataset includes the following key features: + +- `opportunity_id`: Primary key of the opportunity. +- `opportunity_title`: The opportunity title. +- `opportunity_number`: The opportunity number. +- `opportunity_category`: The opportunity category. +- `funding_instrument_type`: The funding instrument type. +- `category_of_funding_activity`: The category of funding activity. +- `cfda_numbers`: The Catalog of Federal Domestic Assistance number. +- `eligible_applicants`: The eligible applicants. +- `eligible_applicants_type`: The eligible applicants type. +- `agency_code`: The agency code. +- `agency_name`: The agency name (grant provider). +- `post_date`: The post date of the opportunity. +- `close_date`: The close date of the opportunity. +- `last_updated_date`: The last updated date. +- `archive_date`: The archive date of the opportunity. +- `award_ceiling`: The maximum amount of grant per award. +- `award_floor`: The minimum amount of grant per award. +- `estimated_total_program_funding`: The total grant amount of the program. +- `expected_number_of_awards`: The number of awards who can get the grant. +- `cost_sharing_or_matching_requirement`: Defines if a portion of the project’s cost is not paid by federal funds. +- `additional_information_url`: The additional information. + +## Usage +Explore and analyze federal grants and funding opportunities using this dataset. It can be used for various tasks, including: + +- Exploratory Data Analysis (EDA) +- Machine learning model development and training +- Predictive analytics +- Trend analysis and visualization + +## Acknowledgements +This dataset is available on Kaggle and was provided by the user [webdevbadger](https://www.kaggle.com/webdevbadger). + +## License +The dataset is provided under the terms of the license specified by Kaggle and the dataset owner. + +