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Federal-Grants-and-Funding-Opportunities-Analysis/Dataset/README.md
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| # Federal Grants and Funding Opportunities Dataset | ||
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| ## 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. | ||
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| ## Features | ||
| The dataset includes the following key features: | ||
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| - `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. | ||
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| ## Usage | ||
| Explore and analyze federal grants and funding opportunities using this dataset. It can be used for various tasks, including: | ||
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| - Exploratory Data Analysis (EDA) | ||
| - Machine learning model development and training | ||
| - Predictive analytics | ||
| - Trend analysis and visualization | ||
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| ## Acknowledgements | ||
| This dataset is available on Kaggle and was provided by the user [webdevbadger](https://www.kaggle.com/webdevbadger). | ||
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| ## License | ||
| The dataset is provided under the terms of the license specified by Kaggle and the dataset owner. | ||
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