A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT

Synthesize multi-scenario, multi-watershed outputs from process-based geospatial model WEPP (WEPPcloud) using this post-processing, interactive visualization, and analysis tool. A Shiny Web app implementation to assist in targeted management using WEPPcloud simulated outputs.

Shiny apps for and load analysis - statistical evaluation of fatigue data and rainflow cycles

Simple Shiny dashborad

Sequence2Branches: Creating a species-level phylogenetic tree from paired FASTQ reads

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…

An R Shiny App that assesses sampling effects (e.g. sample size and BEAST parameters) on GMYC output for species delimitation.

KCL Data Cleaning and Data Management Project on IMPC Mouse Data

R Shiny app about Florence Nightingale data viz: https://e11i3n0r.shinyapps.io/631-EllieByler-FinalProject/

Global Monkeypox Tracker using R Shiny

Visualise avaocado sale across US by R Shiny

CMiNetShinyApp designed to generate consensus microbiome networks by integrating results from multiple network construction algorithms

Developed an R Shiny app for analyzing RNA-Seq data from Huntington's Disease studies, featuring sample exploration, differential expression analysis, correlation networks, and gene set enrichment.

Sun and planet positions with rise and set times using R Shiny web app

R Shiny visualisation of coral bleaching data

This is an R shiny interactive visualization app using USAJOBs API

Codes for R shiny app on the spatial distribution of mortality due to infectious diseases in Amsterdam

This ShinyApp automates an essential, and previously manual, business process

Data science projects worked on during an intensive R boot camp with the Sewanee DataLab over Summer 2022