Publications by Mango Solutions
To purrr or not to purrr
Nicolas Attalides, Data Scientist library(purrr) library(magrittr) I first started using R long before the RStudio and tidyverse days… I remember writing chunks of code in a text editor and copy/pasting it into the R console! Yes I know, shocking. Nonetheless, most of us will have written code over the years that works just fine in base R, howe...
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eRum 2018 highlights
Aimée Gott, Education Practice Lead I always find it difficult to pick highlights from a conference and the eRum 2018 team did a fantastic job of making it difficult for me once again, so here goes… Day One The first day offered a huge choice in workshops, but teaching one of them meant we didn’t make it to any of the others. However, everyo...
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EARL London 2018 – Agenda announced
The EARL London 2018 agenda is now available. Explore the schedule of keynotes, presentations, and lightning talks that cover a huge range of topics, including the best uses of Shiny, R in healthcare, using R for good, and R in finance. The brilliant lineup of speakers-who represent a wide range of industries-is sure to provide inspiration for al...
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EARL Boston 2018 Keynote Speaker announcement: Bob Rudis
Mango Solutions are delighted to announce our Keynote Speaker for the EARL Boston Conference: Bob Rudis, [Master] Chief Data Scientist at Rapid7. Bob has more than 20 years’experience using data to help defend global Fortune 100 companies and in his current role at Rapid7, he specializes in research on internet-scale exposure. He was formerly a...
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Praise you like I should: Shiny Appreciation Month
Aimée Gott, Education Practice Lead Back in the summer of 2012 I was meant to be focusing on one thing: finishing my thesis. But, unfortunately for me, a friend and former colleague came back from a conference (JSM) and told me all about a new package that she had seen demoed. “You should sign up for the beta testing and try it out,” she sa...
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Database bulk update and inline editing in a Shiny Application
Ava Yang, Data Scientist There are times when it costs more than it should to leverage javascript, database, html, models and algorithms in one language. Now maybe is time for connecting some dots, without stretching too much. If you have been developing shiny apps, consider letting it sit on one live database instead of manipulating data I/O by...
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Why Bother with Shiny?
Aimée Gott, Education Practice Lead For the last week we’ve been talking on the blog and Twitter about some of the functionality in Shiny and how you can learn it. But, if you haven’t already made the leap and started using Shiny, why should you? What is the challenge to be solved? At Mango we define data science as the proactive use of dat...
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Top Tip: Don’t keep your data prep in the same project as your Shiny app
Mark Sellors, Head of Data Engineering If you use RStudio Connect to publish your Shiny app (and even if you don’t) take care with how your arrange your projects. If you have a single project that includes both your data prep and your Shiny app, packrat (which RSConnect uses to resolve package dependencies for your project) will assume the pack...
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Another Prediction for the FIFA World Cup 2018
Ava Yang, Data Scientist Given that the UEFA Champion League final a few weeks ago between Real Madrid and Liverpool is the only match I’ve watched properly in over ten years, how dare I presume I can guess that Brazil is going to lift the trophy in the 2018 FIFA World Cup? Well, here goes… By the way, if you find the below dry to read, it is...
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Effectively scaling Shiny in enterprise
James Blair, RStudio Scalability is a hot word these days, and for good reason. As data continues to grow in volume and importance, the ability to reliably access and reason about that data increases in importance. Enterprises expect data analysis and reporting solutions that are robust and allow several hundred, even thousands, of concurrent us...
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