Executive Budget Investments and Appropriations
收藏Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/abc54949-5bce-433c-a558-853bdc2644fb/John-Snow-Labs_Executive-Budget-Investments-and-Appropriations
下载链接
链接失效反馈官方服务:
资源简介:
**Overview**
This data package includes Incremental changes in the budget from year to year and shows the annual appropriation ordinance is the final city operating budget as approved by the City Council. It reflects the Chicago city’s operating budget at the beginning of the fiscal year on January 1. It also includes basic identification information for all active registered investment company series and classes that have been issued IDs by the Commission.
**Description**
This data package contains the details of the budgeted expenditures in the ordinance and identifies them by department, appropriation account, and funding type: Local, Community Development Block Grant Program (CDBG), and other Grants. “Local” funds refer to those line items that are balanced with locally generated revenue sources, including but not limited to the Corporate Fund, Water Fund, Midway and O’Hare Airport funds, Vehicle Tax Fund, Library Fund and General Obligation Bond funds. This data package also contains the Series and Class Report provides basic identification information for all active registered investment company series and classes that have been issued IDs by the Commission.
**Benefits**
- Useful for people working in the field or interested in the information related to budget ordinance appropriations
- general city budget incremental changes
- investment company series class
- state executive budget for ny. the raw version can be found on author's website, but john snow labs (jsl) is offering a clean, standardized and ready to be used datasets. in jsl datasets, the fields descriptions along with the dataset description are again useful for the user to quickly understand the data and the dataset.
**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
**Included Datasets**
- [Budget Ordinance Appropriations 2019](https://www.johnsnowlabs.com/marketplace/budget-ordinance-appropriations-2019)
- This Dataset shows the annual appropriation ordinance is the final city operating budget as approved by the City Council. It reflects the Chicago city’s operating budget at the beginning of the fiscal year on January 1.
- [Budget Ordinance Appropriations 2022](https://www.johnsnowlabs.com/marketplace/budget-ordinance-appropriations-2022)
- This Dataset shows the annual appropriation ordinance is the final city operating budget as approved by the City Council. It reflects the Chicago city’s operating budget at the beginning of the fiscal year on January 1.
- [General City Budget Incremental Changes](https://www.johnsnowlabs.com/marketplace/general-city-budget-incremental-changes)
- This dataset includes incremental changes in the budget from year to year in Los Angeles, California, United States; dating back from 2015.
- [Investment Company Series Class](https://www.johnsnowlabs.com/marketplace/investment-company-series-class)
- The dataset shows the Series and Class Report that provides basic identification information for all active registered investment company series and classes that have been issued IDs by the Commission.
- [New York State Executive Budget Capital Appropriations 2017-2018](https://www.johnsnowlabs.com/marketplace/new-york-state-executive-budget-capital-appropriations-2017-2018)
- This dataset includes capital project appropriations and reappropriations as they relate to the FY 2018 Executive Budget.
**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted
**Our data is curated and enriched by domain experts**
Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.
**Need Help?**
If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
提供机构:
John Snow Labs



