Identify at-risk interviews directly from your Survey Solutions export files.
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Updated
Mar 19, 2024 - Python
Identify at-risk interviews directly from your Survey Solutions export files.
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.
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
Create AutoCAD polylines from line table data
Python based terminal application for conducting and analyzing Career focused survey data.
Streamlit Website for Data Analysis on Happydb Dataset
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
Plugin Qgis que facilita la captura de puntos en campo y ayudas de navegacion en tiempo real
12 year nutrient intake analysis across financial classes with PySpark and KMeans clustering
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.
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).
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.
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.
Automatically identify at-risk interviews from your Survey Solutions export files.
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