Producing an API that serves model results or a Shiny app that displays the results of an analysis requires a collection of intermediate datasets and model objects, all of which need to be saved.
The course has no prerequisites and grading is based on 3 multiple-choice quizzes and a final case-study assignment. The lecture content in Business Metrics is crisp and the lecturer is easy to understand. Built-in capability to import multiple types of datasets Flexible in running different analysis Easy to save output, LoA and code for traceability Capable for generating animation file Adjustable graph quality and table layout Below I’ve provided some code to load this dataset in R, and then to clean it up a bit. Most of the code should apply to any dataset released by Pew Research. We have developed a new statistical approach (M3Fusion) for combining surface ozone observations from thousands of monitoring sites around the world with the output from multiple atmospheric chemistry models to produce a global surface… In this article, Tomomi explores how to build a simple notification web app using PubNub’s Data Stream Network and the W3C Web Notifications API.
Also, joining data from multiple sources is almost always required to gain a complete view. Using multiple tools to extract, transform, enrich, and visualize the data introduces multiple points of potential failure and much greater potential… Franz is a free messaging app /former emperor of Austria, that combines chat & messaging services into one application. GroundWater Spatiotemporal Data Analysis Tool (Gwsdat) R-Shiny implementation. - levvers/Gwsdat a Harrell plot R package. Also a shiny app. Contribute to middleprofessor/harrellplot development by creating an account on GitHub. Links to materials from tutorials and talks from useR 2019 - sowla/useR2019-materials A curated list of awesome R frameworks, libraries and software. - uhub/awesome-r
3 Oct 2016 Whenever I start writing a new Shiny application – the technology on which It gives a great introduction to all the main features of Shiny Modules and that data based on user input criteria; Download the filtered dataset. 7 Nov 2019 Features of R Shiny; How is Shiny different from traditional applications? Installing R The dataset used in the app can be downloaded here. 11 Aug 2017 For those not familiar with Shiny, it is a package to create interactive, aesthetically pleasing web apps with all the statistical capability of the R Show Me Shiny. The original version of showmeshiny.com had a great 6-year run. We're re-building it to make it even better. Join our email list to get notified bibliometrix: An R-tool for comprehensive science mapping analysis. is an open-source tool for quantitative research in scientometrics and bibliometrics that includes all the main bibliometric methods of analysis. With biblioshiny, the shiny app introduced from version 2.0, bibliometrix has Monthly download from CRAN:
Franz is a free messaging app /former emperor of Austria, that combines chat & messaging services into one application. GroundWater Spatiotemporal Data Analysis Tool (Gwsdat) R-Shiny implementation. - levvers/Gwsdat a Harrell plot R package. Also a shiny app. Contribute to middleprofessor/harrellplot development by creating an account on GitHub. Links to materials from tutorials and talks from useR 2019 - sowla/useR2019-materials A curated list of awesome R frameworks, libraries and software. - uhub/awesome-r The calculation (and visualisation) of multiple EQ-5D indices can also be performed by upload of a CSV or Excel file using the packaged Shiny app. This R Shiny Tutorial will provide you with a detailed and comprehensive knowledge of R Shiny and how to create interactive Web Applications.
A curated list of my GitHub stars! Contribute to osantana/starred-awesome development by creating an account on GitHub.
