Topic: r-shiny-apps Goto Github
Some thing interesting about r-shiny-apps
Some thing interesting about r-shiny-apps
r-shiny-apps,This ShinyApp automates an essential, and previously manual, business process
User: akokotis
r-shiny-apps,Visualise avaocado sale across US by R Shiny
User: antran28
r-shiny-apps,A web application for the conversion of vegetation data into a common exchange format defined by the VegX standard. (under development)
User: chrkoenig
r-shiny-apps,An R Shiny App that assesses sampling effects (e.g. sample size and BEAST parameters) on GMYC output for species delimitation.
User: clarkevansteenderen
r-shiny-apps,The web ui (R-Shiny application) for Pheno-Ranker, a tool designed for performing semantic similarity analysis on phenotypic data structured in JSON format, such as Beacon v2 Models or Phenopackets v2
Organization: cnag-biomedical-informatics
r-shiny-apps,A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT
User: devalc
r-shiny-apps,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.
User: devalc
Home Page: https://cdeval.shinyapps.io/Viz-WEPPCloud/
r-shiny-apps,Simple Shiny dashborad
Organization: institut-necker-enfants-malades
r-shiny-apps,Codes for R shiny app on the spatial distribution of mortality due to infectious diseases in Amsterdam
User: katibuzasi
r-shiny-apps,R Shiny App to determine the factors that are most influential in patientsโ 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 indicated that a higher EF % is a major factor.
User: kovenda
r-shiny-apps,Sequence2Branches: Creating a species-level phylogenetic tree from paired FASTQ reads
User: nali321
r-shiny-apps,Shiny apps for and load analysis - statistical evaluation of fatigue data and rainflow cycles
User: pj3950
r-shiny-apps,Open source dataset projects using various R studio And Jupyter notebook Environment
User: pragati-patidar
r-shiny-apps,Monte Carlo simulation made in R to estimate the amount of games it takes on average for someone to open an Alpha Pack in Rainbow 6 Siege.
User: rockfordmankini
Home Page: https://rockfordmankini.shinyapps.io/AlphaPackSimulator
r-shiny-apps,Visualizing JGraph with an RShiny App
User: ryantanyiwei
r-shiny-apps,R Shiny visualisation of coral bleaching data
User: saahilbhatia
r-shiny-apps,A narrative visualisation of crime trends in NSW using R Shiny
User: saahilbhatia
r-shiny-apps,Global Monkeypox Tracker using R Shiny
User: sureshlazaruspaul
r-shiny-apps,Data science projects worked on during an intensive R boot camp with the Sewanee DataLab over Summer 2022
User: ti-99
r-shiny-apps,Interview test for Hire Digital (Data Developer)
User: yuenherny
Home Page: https://yuenherny.shinyapps.io/sales-forecast-shiny-app/
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