Data Science Radar – Data Wrangler Profile
by Steph Locke, Mango Solutions @SteffLocke Steph Locke Data Science Radar – Nov 2015 1. Tell us a bit about your background in Data Science I started off as a Product Analyst doing a bit of this, a...
View ArticleHow I Use Vagrant and Docker in Consultancy Projects
By Doug Ashton – Data Scientist, UK Just like you I like to try out all the latest tech. If there’s a new feature in Shiny then I’ll download the latest version without thinking. I’ve currently got 4...
View ArticleData Science Radar – Modeller Profile
by Henrik B Nyberg, Mango Solutions Tell us a bit about your background in Data Science. During the final year of my master in chemical engineering I steered away from lab work and the large scale...
View ArticleData Science Radar – Technologist Profile
by Mark Sellors, Mango Solutions @sellorm Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1. Tell us a...
View ArticleDataKind: Reflections from the Bristol DataDive
By Paulin Shek If we rewind back a couple of weekends ago, you will find fellow Mango consultant, Chris Musselle, and I deep in survey data, pulling in lots of open data and utilising all our skills to...
View ArticleAll I want for Christmas is you big data analytics!
By Hannah Evans Sound familiar? All businesses have data. But whether it is used to drive business value is another question entirely. Traditionally, technical analysts have made decisions about data...
View ArticleThe Making of a Star Wars Package
By Stephanie Locke After some conversations at the coffee maker yesterday, I accepted the challenge of, wait for it… BUILDING A STAR WARS THEMED R PACKAGE! Some quick Googling found a JavaScript...
View ArticleThe Evolution of Distributed Programming in R
By Paulin Shek Both R and distributed programming rank highly on my list of “good things”, so imagine my delight when two new packages, ddR (https://github.com/vertica/ddR) and multidplyr...
View ArticleData Science Radar – Communicator Profile
by Andy Nichols @andyofsmeg 1. Tell us a bit about your background in Data Science. In short I am a statistician. That’s what I qualified anyway. Following my degree I was employed...
View ArticleA Gadget for tidyr
By Aimee Gott About a month ago I wrote a review of the Shiny Developer Conference and I mentioned Shiny Gadgets, my new favourite thing in R. Over the last month I have played about with them and...
View ArticleGeographic data to service the needs of a remote employee – part1
By Ava Yang Background Ever since I started working remotely, some friends suggested “Why not work as usual as you travel across China, instead of staying in Shanghai?” Many cool people have practiced...
View ArticleStrata + Hadoop World 2016 London
By Mark Sellors, Mango Solutions Last week saw the return of O’Reilly’s Strata and Hadoop World conference to London. Strata is focused firmly on the ‘big data’ end of the data science spectrum and...
View ArticleHacking the Data Science Radar with Data Science
This post was first published by original author Duncan Garmonsway and reproduced with his kind permission. This post reverse-engineers the Mango Solutions Data Science Radar using Programming (R)...
View ArticleApache Projects at Strata EU
Douglas Ashton 7 June 2016 At the beginning of June Mango made the trip to the Strata + Hadoop World big data conference at the Excel Centre in London. I’ve been to Strata twice now and find it a...
View ArticleGeographic data to service the needs of a remote employee – part2
Ava Yang, Mango Solutions Recap In part 1 of this post I set out to find a flat to rent based on three simple criteria: Café density Tube station density Monthly rent So far I have made use of the...
View Articlecovr: A Victory for Open Source
Aimee Gott, Mango Solutions As an academic statistician, my life before I joined Mango was one in which the concepts of “proper programming” didn’t exist. I was one of those people who wrote ad-hoc...
View ArticleData Visualisation
by Nic Crane, Data Scientist Data visualisation is a key piece of the analysis process. At Mango, we consider the ability to create compelling visualisations to be sufficiently important that we...
View ArticleProject package libraries and reproducibility
Gábor Csárdi, Consultant, Mango Solutions Introduction If you are an R user it has probably happened to you that you upgraded some R package in your R installation, and then suddenly your R script or...
View ArticleTesting without the internet using mock functions
Karina Marks, Gabor Csardi Testing At Mango we validate and test packages for our ValidR customers. We create unit tests for different requirements of functions. These tests must run on a customer’s...
View ArticleEARL London 2016 revisited – Day 1
This year’s EARL conference in London was another huge success. In this blogpost we revisit some of the presentations from Day 1. In stream 1 the conference started off with a presentation about...
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