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.

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.

Create AutoCAD polylines from line table data

Streamlit Website for Data Analysis on Happydb Dataset

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.

Python based terminal application for conducting and analyzing Career focused survey 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

This repository contains code/data used in a case study on intergenerational social skills performed as part of UMass Dartmouth's CIS362 Empirical Methods course.

Plugin Qgis que facilita la captura de puntos en campo y ayudas de navegacion en tiempo real

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).

Using correlation methods, t-tests, regression models, and cluster analysis to predict the Ice Cool brand consumer attitudes from a self-made survey. The attempt concludes that the survey data is too small to draw meaningful conclusions.

Backend for EGXIT.IN, A web-based application designed to streamline the process of conducting employee exit surveys. It empowers organizations to gather valuable feedback from departing employees, facilitating the identification of trends and insights crucial for enhancing retention strategies and organizational effectiveness.

SBMS Survey Application

Impact evaluation of the Transit Against Child Trafficking (TACT) transit awareness campaign using A/B tests + causal inference (DiD, PSM). Streamlit dashboard, FastAPI API, Docker & CI/CD.

12 year nutrient intake analysis across financial classes with PySpark and KMeans clustering