Solving affordable housing | Mostly using earthen materials | Process, model, design (see Readme)
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Updated
Sep 8, 2024 - Python
Solving affordable housing | Mostly using earthen materials | Process, model, design (see Readme)
Machine learning models for prediction of chronic homelessness using the HIFIS Application.
Data Analysis based on Data
Spare connects people in need of clothing and other essentials with people in the community who have things to spare. It is like a one-on-one Goodwill. We are hoping the donation can be a mechanism for building these connections throughout our community.
A Tool for Tracking Quarterly Reporting Metrics
A report showing details about who is being served by the health & wellness team and what services are being provided to those participants.
This report is for identifying participants who have utilized TPI shelters for more than 364 days in the last five years
A report for tracking monthly RW services
A script for identifying likely errors with the housing move in date
This scrip processes the output of the Housing Services - Housing Outcomes v2.0 HMIS report into a clear, easy to read, spreadsheet.
Track changes to participants income.
This script will process raw data from the Annual Review ART report in ServicePoint's ART reporting system. The output will show participants who have an annual review due in the coming month, in the next month, or have an outstanding annual review that is past due.
This is for tracking participants who are currently excluded from accessing the Transition Projects Resource Center
Create a Report Showing Participants who are active but have not had a service in the last 30 days.
This script creates the RA and CM "Missing Entry Data Reports" which were formerly called the "Demographics Data Quality Reports"
Add a description, image, and links to the homelessness topic page so that developers can more easily learn about it.
To associate your repository with the homelessness topic, visit your repo's landing page and select "manage topics."