Topic: shinyapps Goto Github
Some thing interesting about shinyapps
Some thing interesting about shinyapps
shinyapps,Code for the tutorial on adding actionnable button in datatable in Shiny
User: antoineguillot2
shinyapps,Code for the tutorial on the Semi Collapsible Sidebar in Shiny
User: antoineguillot2
shinyapps,In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
User: asaficontact
shinyapps,Creating drag and drop elements in Shiny
User: ayayron
shinyapps,CCISS RMD knitr report graphics and Shiny App
Organization: bcgov
shinyapps,A template for a user authentication interface in RShiny
User: bormanjo
shinyapps,Simple and secure authentification mechanism for single shiny applications.
Organization: datastorm-open
Home Page: https://datastorm-open.github.io/shinymanager/
shinyapps,Create accessible components in shinyapps (in progress π)
User: davidruvolo51
shinyapps,R web app template using plumber
User: davidruvolo51
shinyapps,R β€οΈ React Demo application
User: davidruvolo51
shinyapps,The heroicons library for R πΌοΈ
User: davidruvolo51
shinyapps,a collection of shiny app demonstrations :bar_chart:
User: davidruvolo51
Home Page: https://davidruvolo51.github.io/shinytutorials/
shinyapps,Course Material: Business Analytics and Decision Support with R
User: dominikjung42
shinyapps,Some Shiny applications
Organization: dreamrs
Home Page: http://shinyapps.dreamrs.fr/
shinyapps,How to install local shiny apps
Organization: ficonsulting
Home Page: https://ficonsulting.github.io/RInno/
shinyapps,Interactive Presentations for Financial Education using R/Shiny. See full list of presentations (with links) below.
Organization: financialmarkets
Home Page: https://financialmarkets.github.io/5MinuteFinance/
shinyapps,This package provides RStudio Addins for the package exams.
User: flaviobarros
shinyapps,A shiny twitter conference dashboard
User: gadenbuie
Home Page: https://apps.garrickadenbuie.com/rstudioconf-2019/
shinyapps,A Shiny Application for Modeling and Visualization of Large-Scale Biological Data
User: htpmod
Home Page: http://www.epiplant.hu-berlin.de/shiny/app/HTPmod/
shinyapps,π A curated list of Awesome Shiny Apps for Statistics (ASAS)π
User: huyingjie
Home Page: http://asas.yingjiehu.com/
shinyapps,Shiny applications and dashboards in R
User: iliastsergoulas
Home Page: http://www.agristats.eu
shinyapps,code to reproduce my shiny apps
User: jalapic
shinyapps,Shiny application to generate hexsticker
User: jhk0530
Home Page: https://jhkim.shinyapps.io/polaroid/
shinyapps,An app to visually explore the density (and other related factors) of the schedule for NBA teams.
User: josedv82
Home Page: https://josedv.shinyapps.io/NBASchedule/
shinyapps,A compilation of resources for sport scientist building Athlete Management Tools in Shiny
User: josedv82
shinyapps,Visual Crowds is a dashboard that help visualize and analyze the pilgrims movement during their hajj
User: karimelghazouly
shinyapps,Demo project of creating an interactive analytical tool for stock market using CAPM.
User: lamres
Home Page: https://sermal.shinyapps.io/sm_capm_analysis/
shinyapps,PsychTopics β A Shiny App for Exploring and Analyzing Research Topics in Psychology
Organization: leibniz-psychology
shinyapps,This is a shiny app that let's you create a simple portfolio data analysis report.
User: maxmlang
shinyapps,Source code for the Conjoint Experiments: Power Analysis Tool by Martin Lukac and Alberto Stefanelli.
User: mblukac
Home Page: https://mblukac.shinyapps.io/conjoints-power-shiny/
shinyapps,A collection of Shiny applications (links shared on Twitter)
User: mkearney
shinyapps,a web-based R shiny application that wraps DESeq2 R package
User: nasqar
Home Page: http://nasqar.abudhabi.nyu.edu/deseq2shiny/
shinyapps,A Shiny Web App tutorial inspecting the COVID-19 (2019-nCoV) epidemic, data from https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
User: onlyphantom
shinyapps,A Shiny web app template using a dark theme with support for custom CSS
User: onlyphantom
shinyapps,an app for salary monitoring
User: patsulda
shinyapps,shiny API for Framework7 (IOS/android)
Organization: rinterface
Home Page: https://shinymobile.rinterface.com
shinyapps,tabler dashboard template for shiny
Organization: rinterface
Home Page: https://rinterface.github.io/tablerDash/
shinyapps,An R Shiny App to create a calendar.
User: royfrancis
shinyapps,Omics BioAnalytics - RShiny web app for bioinformatics analyses
User: singha53-zz
Home Page: https://amritsingh.shinyapps.io/omicsBioAnalytics/
shinyapps,COVID-19 Statistical Analysis Simulator App using R deployed on shinyapps.io a John Hopkins University COVID count clone and simulator
User: stuti24m
Home Page: https://covidstats.shinyapps.io/COVID-19-Statistical-Analysis-Simulator-master/
shinyapps,A Framework for Building Robust Shiny Apps
Organization: thinkr-open
Home Page: https://thinkr-open.github.io/golem/
shinyapps,The OpenAI Playground - ChatGPT Clone with Shiny application is built using the R programming language and the Shiny framework.
User: tolgakurtuluss
Home Page: http://tolgakurtuluss.shinyapps.io/shinychatgpt
shinyapps,R/Shiny package for network-integrated pathway enrichment analysis
Organization: unistbig
Home Page: https://github.com/unistbig/netGO-data
shinyapps,An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
User: zhanghao-njmu
Home Page: https://zhanghao-njmu.github.io/SCP/
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.