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Dynamically generated Shiny UI
Gábor Csárdi — Mango Solutions Joe Cheng — RStudio Introduction It is not uncommon that the user interface of a Shiny application needs to be generated dynamically, based on data or program state. One...
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The Wizarding World of rstudio::conf 2017
After the success of last January’s “Shiny Dev Con“, our friends at RStudio are back with their first full-blown conference, “rstudio::conf“. Like our own EARL Conference, rstudio::conf was preceeded...
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Tidy Text Mining of David Bowie’s Lyrics
by Nic Crane After hearing about tidytext from colleagues who went to the RStudio conference last month, I decided to try it out. If you want to try out tidy text mining for yourself, check out the...
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Yes, you can run R in the cloud securely
Once thought of as the ‘little programming language that could’, R has fundamentally transformed the way data scientists and organisations use their data. It gives businesses the power to leverage big...
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Goodbye SAS, hello R: why you need to make the switch and how Mango can help
Time to switch R is the most popular analytic language in the world today following an incredible increase in popularity over recent years. If you’re involved in data analytics, you need to be fluent...
View ArticleEARL abstract submissions close in two weeks
If you’ve been doing exciting things in your organisation with the help of R and you’ve been thinking about submitting an abstract, now’s the time to put yours together! Based on the abstracts received...
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sasMap: static code analysis for SAS
Ava Yang You may drop your weapons, this is not going to be about SAS vs R. If you work with a large amount of SAS legacy code, sasMap, an R package with a Shiny app, is for you. It evolved from our...
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Writing a conference abstract the data science way
Adnan Fiaz Conferences are an ideal platform to share your work with the wider community. However, as we all know, conferences require potential speakers to submit abstracts about their talk. And...
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Busted: 6 myths about using R in financial services
R has come a long way since its inception in the early 1990s. Although data scientists have been singing its praises for years now, myths about R and its use in financial services and big data...
View ArticleInstalling Packages without Internet
Graham Parsons At Mango we’re often giving R training in locations where a reliable WiFi connection is not always guaranteed, so if we need trainees to download packages from CRAN it can be a...
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