<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/how-to-internationalize-your-shiny-apps-with-shiny-i18n/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://appsilondatascience.com/blog/rstats/2017/09/12/i18n.html"> Appsilon Data Science Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>We pride ourselves on the fact that we work on some of the most difficult business applications of Shiny. These range from sales, manufacturing, management tools, to even satellite data analysis tools.</p>
<p>Many of our clients include multinational enterprises that are continuously looking for new markets to enter. Most markets, however, have a common issue that needs addressing: language barrier. In particular, we have seen an increasing need for dashboards that are tuned to the needs of diverse employees worldwide.</p>
<p>This means that every country or region needs to have their dashboard change accordingly. In short, there is a need for internationalization, hence, shiny.i18n.</p>
<p>We’ve build an internationalization package for shiny and have open sourced it for all to use, and hopefully, contribute to. This is not our first open source package. We encourage you to take a look at shiny.semantic, and shiny.collections.</p>
<p>The i18n package support CSV and JSON based translations. It even formats data according to local standards. We are still working on localized numbers and are in the process of adding our package to CRAN. Feel free to check our <a rel="nofollow" href="https://github.com/Appsilon/shiny.i18n/blob/master/inst/examples/app_csv.R" target="_blank"><em>demo</em></a> which currently supports English, Polish and Italian:</p>
<p>Our code is on <a rel="nofollow" href="https://github.com/Appsilon/shiny.i18n" target="_blank"><em>GitHub</em></a> and is under an MIT license. Take a look and let us know what you think.</p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://appsilondatascience.com/blog/rstats/2017/09/12/i18n.html"> Appsilon Data Science Blog</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/WMRUAOQoKko" height="1"></a></div>