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Fetch and standardized LODES data from the Bureau of Labor Statistics. Fork of work by Dallas College LMIC.

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LODES Dataset Construction and Analysis

Introduction

This library contains custom scripts to prepare a SQLite database utilizing Census LEHD LODES data. There are Python scripts to download, unzip, and save to disk files from one or multiple states' LODES data. The scripts also contain functions to facilitate the creation of a Spatialite database which enables a user to query, aggregate, and analyze LODES data using SQL queries. There are also scripts which offer basics for connecting to the SQLite database in Python, which allows for querying and pulling data into Jupyer Notebooks or other Python-based analysis frameworks.

Name

LODES Dataset Construction Workflow

Description

This project has a few key functions. The first key use is to allow a user to download and unzip an entire state's LODES dataset- all OD, RAC, and WAC files. The second key use is to allow a user to build a Spatialite database with the organized LODES data. Lastly, the scripts have utility for loading in geometries into the Spatialite database.

Usage

  1. Download
  2. Unzip
  3. Build Spatialite
  4. Load LODES into Spatialite
  5. Load geometries into Spatialite.
  6. Download, unzip, and load all data into Spatialite.

Support

Contact cgilchriest@dallascollege.edu or lmic@dallascollege.edu

Roadmap

  • More complex analysis functions for college-specific applications
  • Visualization functions

Authors and acknowledgment

Developed by Camille Gilchriest while at Dallas College LMIC, Fall 2022. Code uploaded Spring 2024. Siginificant revision and organization support from Ammar Nanjiani.

Project status

This project is in progress.

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Fetch and standardized LODES data from the Bureau of Labor Statistics. Fork of work by Dallas College LMIC.

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  • Python 64.7%
  • Jupyter Notebook 35.3%