Identify at-risk interviews directly from your Survey Solutions export files.
The omop2survey Python package transforms standardized response codes from the OMOP CDM survey variables into numeric values and simplifies data preparation by providing functionalities for mapping and converting response codes, as well as handling missing data, facilitating easier and more reliable data analysis
Python script to add the names of access points into the Ekahau survey project file. Cisco WLC config file is used as the source of data about AP names.
A Python library for survey data — treating multiselect questions as first-class variables, not DataFrame workarounds.
Pop2net simplifies the creation of network structures for agent-based models.
Random Iterative Method (RIM) weighting for survey data, using iterative proportional fitting to align sample distributions with known population margins.
Streamlit Website for Data Analysis on Happydb Dataset
Python based terminal application for conducting and analyzing Career focused survey data.
An automated metadata pipeline to generate and validate Medicare Current Beneficiary Survey (MCBS) codebooks.
Este proyecto contiene un alineador bidireccional entre microdatos de la Encuesta Permanente de Hogares (EPH) y el Censo Nacional. Su objetivo es permitir que tablas de ambas fuentes se comparen o se integren bajo un marco común, aplicando reglas de recodificación, validación y enriquecimiento.
Servidor MCP y Skill para microdatos EPH-INDEC. Diseños de registro, metodología y documentación de paquetes R y Python
Reproducible analysis kit for a privacy-safe exploratory survey on AI readiness, EU AI regulation and workforce expectations in SME-relevant TrustTech contexts.
Create AutoCAD polylines from line table data
This script was developed to create a two-dimensional profile of a three-dimensional survey for use in river restoration. Structure surveys need to be converted so that two-dimensional areas can be computed and related to regional curves.
Factor Analysis for survey data
Interact with SOM Institute Data!
Python utility that enriches survey metadata with ZIP-code-level median household income.
Attempting to analyze the results of a survey studying the relation between the age when a person got their first cell phone, whether it was a smartphone or not, and the generation they identify with (n=509).
12 year nutrient intake analysis across financial classes with PySpark and KMeans clustering
Add a description, image, and links to the survey-data topic page so that developers can more easily learn about it.
To associate your repository with the survey-data topic, visit your repo's landing page and select "manage topics."