antontarasenko / Gpq

Licence: apache-2.0
A collection of tools for mining government data

Projects that are alternatives of or similar to Gpq

Poppy
Physical Optics Propagation in Python
Stars: ✭ 135 (-0.74%)
Mutual labels:  jupyter-notebook
Reproduce Chexnet
Reproduce CheXNet
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Hierarchical Rnn
Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Kyle School
쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일 스쿨
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Data Driven Pdes
Stars: ✭ 135 (-0.74%)
Mutual labels:  jupyter-notebook
Deep Steganography
Hiding Images within other images using Deep Learning
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Blog stuff
experiments and snippets used on the blog
Stars: ✭ 135 (-0.74%)
Mutual labels:  jupyter-notebook
Machine Learning Notes
机器学习笔记
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Site
Course materials for the Automating GIS processes -course, University of Helsinki, Finland
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
R
Using R with Jupyter / RStudio on Binder
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Robust representations
Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
Stars: ✭ 137 (+0.74%)
Mutual labels:  jupyter-notebook
Spanet
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Deeplearningfornlpinpytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Stars: ✭ 1,744 (+1182.35%)
Mutual labels:  jupyter-notebook
Monthly Challenges
Repository containing monthly challenges about quantum computing.
Stars: ✭ 126 (-7.35%)
Mutual labels:  jupyter-notebook
Data X
This repository is for the Data-X project materials
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Pydy Tutorial Human Standing
PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.
Stars: ✭ 135 (-0.74%)
Mutual labels:  jupyter-notebook
Python Deep Learning Projects
Python Deep Learning Projects, published by Packt
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Jobsvisualization
换一种姿势找合适的工作
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Python for data science
python_for_data_science
Stars: ✭ 136 (+0%)
Mutual labels:  jupyter-notebook
Pytorchviz
A small package to create visualizations of PyTorch execution graphs
Stars: ✭ 2,054 (+1410.29%)
Mutual labels:  jupyter-notebook

Government Procurement Queries

A collection of SQL queries that help

  • Selling to the government
  • Learning about competitors
  • Monitoring government spending

The quickest way to find out what it means exactly:

Usage

Data

The data is collected from government websites and loaded to Google BigQuery:

Data BigQuery dataset Source
US Federal Government contracts (2000–2016) gpqueries:contracts USASpending.gov

For the codebooks, see data.

Queries

All queries are written for the BigQuery SQL dialect and stored in .sql files. Each file contains comments about its purpose and usage.

You can execute queries with:

All methods require a Google Account and a Google Cloud Project. Both are free. The first-time setup takes a couple of minutes.

Web GUI is the easiest to start with.

See also: Accessing BigQuery

Notebooks

Jupyter (IPython) notebooks with replication code and comments:

Reports

Extracts that highlight particular findings, usually from notebooks.

Coming soon

  • More federal coverage: federal grands, loans, and other assistance
  • Subnational coverage: states and large cities
  • Notebooks for business intelligence and finding government customers

To receive updates, press "Watch" in the top right corner.

Related

Contacts

Anton Tarasenko

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].