Skip to main content

Project Logo

TaxFilingFusion stands as the ultimate solution for effortlessly accessing and navigating IRS tax filing data. This powerful package effortlessly transforms complexity into simplicity, empowering users to unlock fresh insights and delve deep into data analysis. Unravel the potential of tax data like never before – whether you're an expert or just starting out, TaxFilingFusion makes IRS data accessible and user-friendly for all.

Call for Contributions

It provides:

  • sophisticated functions
  • a powerful connection between tax filing data and the American geography
  • an API with a backend of BigQuery to allow user manipulation of data

Detailed Package Info

This Python package provides access to individual income tax statistics for various zip codes using data obtained from the IRS. The data spans the years between 2015 and 2020, and each year's data may have a different format as some attributes may be dropped in certain years, while new attributes may be added. The data is ingested into Google BigQuery, where all individual year tables are combined into a single comprehensive table. To enrich the ZipCode data and provide more detailed information, the package utilizes crosswalk files from HUD USPS, which establish links between ZIP codes, state FIPS codes, county FIPS codes, and city FIPS codes. This enriched data allows users to obtain additional details about each ZIP code, such as county, state, region, and other associated information. Several views, table query functions, and single-valued functions are implemented to support various data needs for the API. These functions are designed to expose the combined and enriched data for public access. By leveraging these APIs, we have created a beautiful and easy-to-use PyPI package that allows the public to interact with and analyze the IRS individual income tax statistics for different ZIP codes, enriched with valuable geographic information.

Call for Contributions

The TaxFilingFusion project welcomes everyone's passions, thoughts, ideas, and contributions.

Small improvements or fixes are greatly appreciated. If you have any questions, please email: vedrathi10@gmail.com

Our GitHub repository may be small and much simpler than what you would expect of a full-fledged package like NumPy, but our goal is to continue adding new features to make this data even more accessible for users. To help contribute to our project, you can:

  • review the code and create pull requests via forking the repo
  • develop tutorials, presentations, and other educational materials
  • help with outreach and publicity

Package Usage

To download the package on a command-line interface, run: pip install taxfilingfusion

To download the package on Jupyter Notebooks or IPython environments, run: !pip install taxfilingfusion

To upgrade the package version (CLI), run: pip install taxfilingfusion --upgrade.
To use the functions provided by this package, after downloading, run: from code_query import irs_data
Then a method can be accessed using the dot operator, like: irs_data.{function_name(parameters...)}

Sources

Metadata

Release files for uszipstats 0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for uszipstats 0.5
File Size Uploaded
uszipstats-0.5.tar.gz 11.6 kB Details

Release files / uszipstats-0.5.tar.gz

Download URL uszipstats-0.5.tar.gz
Size 11.6 kB
Tags Source
SHA-256 checksum
How to use checksums
05619731bc5cd80be616b37ad55e54ed85b2286bd2215f6c020565e671256ff7
BLAKE2b-256 checksum
How to use checksums
d5b488bb702831fdcc417a745982dc435d4fc7e8f9efa7764549be117dfc8f9d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.9

Release history Release notifications | RSS feed

This release

0.5 This release

1 release file

0.4

1 release file

0.3

1 release file

0.2

1 release file

0.1

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page