Classy Data Analysis: Mapping the U.S. Non-Profit Space
Project Readme
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Scope And Content | readme |
Technical Details | readme |
GitHub repository
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Scope And Content | Compressed archive of project |
Technical Details | Containers and code. Import module will get raw data from AWS. Code will archive output data in MongoDB. |
- Collection
- Cite This Work
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Tai, Howard; Hansen, Erin; Nagda, Jeet; Pimentel, Carlos; Reyes, Juan (2019). Classy Data Analysis: Mapping the U.S. Non-Profit Space. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J079431X
- Description
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In this project, we build this social space from the ground up. We use a combination of government IRS form 990 (returns for nonprofits) data along with external textual information (i.e. social media) to create a robust semantic space.
- Creation Date
- 2019-06-16
- Date Issued
- 2019
- Authors
- Series
- Corporate Name
- Topics
Formats
View formats within this collection
- Identifier
- Related Resources
- IRS 990 forms AWS: Machine-readable data from certain electronic 990 forms filed with the IRS from 2013 to present are available for anyone to use via Amazon S3. https://registry.opendata.aws/irs990/
- Classy fundraising platform: https://www.classy.org
- Project repository: https://github.com/mas-dse-jcreyesc/capstone
Source data
Other resource
- License
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Creative Commons Attribution-ShareAlike 4.0 International Public License
- Rights Holder
- Tai, Howard; Hansen, Erin; Nagda, Jeet; Pimentel, Carlos
- Copyright
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Under copyright (US)
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
- Digital Object Made Available By
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2022-11-28