Publications by Mango Blogger
How 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 versions of R on my laptop, 270 packages, 2 versions of Java, and a number of other open source tools. While being on the cutting edge is pa...
4007 sym
Data 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 industrial applications. Computers seemed much more compliant and easier to work with than cells so I took some courses in pharmacometrics and I foun...
3763 sym 6 img
The DDMoRe Interoperability Framework goes public!
The Drug Disease Model Resources (DDMoRe) Consortium has been created to improve the quality, efficiency and cost effectiveness of Model-Informed Drug Discovery & Development. it is a five-year project of the Innovative Medicines Initiative (IMI, www.imi.europa.eu) with 26 stakeholders from the pharmaceutical industry, small and medium-sized en...
3169 sym
Data 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 bit about your background in Data Science. I guess I got my start writing bespoke reporting tools for a previous employer. This work was on the j...
5054 sym 6 img
DataKind: 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 work with a team of fellow data scientists to recommend business strategies for a local charity- Bristol Older People’s Forum . It was a weeke...
3555 sym 2 img
Integrating Python and R Part III: An Extended Example
By Chris Musselle This is the third post in a three part series where I have explored the options available for including both R and Python in a data analysis pipeline. See post one for some reasons on why you may wish to do this, and details of a general strategy involving flat files. Post two expands on this by showing how R or Python process...
8498 sym R (1286 sym/5 pcs) 5 img
All 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 technology, without truly understanding the business challenges beforehand, meaning that uses cases are retrospectively fitted in order to demonstra...
6600 sym 2 img
Baby Boomers
By Chris Campbell As another new baby card is passed around the office, and the latest cute baby pictures are emailed out, a discussion is underway. Could it be true? Something in the water? An elixir of fertility that should be bottled and sold to desperate couples for enormous profit? Is Mango having some crazy baby boom?! Mango has been having...
4942 sym R (4460 sym/6 pcs) 2 img
The 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 library that will generate some Star Wars based lorem ipsum text, ForcemJS. In R, we can write and use JavaScript via the V8 package. I set up my proje...
1945 sym R (321 sym/2 pcs)
The 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 (https://github.com/hadley/multidplyr), used for distributed programming in R were released in November last year. Distributed programming is normally taken...
6275 sym R (655 sym/2 pcs)