https://vaterstetten-in-zahlen.de is an open source project whose goal is to collect and visualize publically available data about the municipality of Vaterstetten.
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Updated
Jun 9, 2024 - R
https://vaterstetten-in-zahlen.de is an open source project whose goal is to collect and visualize publically available data about the municipality of Vaterstetten.
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Pathway enrichment analysis / visualize for Single Cell Data
🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny
Shiny web application generating question code for shinysurveys.
A simple method of modularizing tabs in Shiny Dashboard for easy access and management.
An R Shiny application utilizing the Wehoop API to present relevant opponent metrics, sorted by team, season, and game
GitHub Administration and Readme
R project. Output: a Rshiny web app that analyzes thousands of Airbnb France data (Paris, Lyon, Bordeaux). Skills: web app design (Rshiny), data cleaning and preparation (dplyr, lubridate), data visualization (ggplot2), maps (leaflet) and kmeans clustering.
The OneHealth Matrix EpiCap Tool is used to evaluate and assess epidemiological surveillance capacities and capabilities. Published in Frontiers in Public Health https://doi.org/10.3389/fpubh.2023.1053986.
By using the Analytical Hierarchy Process (AHP) in tandem with landscape metrics, we can determine which parcel is best suited for restoration! Use my shiny app as a template to create your own interactive site selection shiny app!
Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions
JupyterHub extension for ContainDS Dashboards
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