How America uses its land
Dave Merrill and Lauren Leatherby for Bloomberg visualized land use for the conterminous United States using a pixel-like grid map:
“Seeding trials”: medical marketing disguised as science
Paul Alper points to this horrifying news article by Mary Chris Jaklevic, “how a medical device ‘seeding trial’ disguised marketing as science.”
Data Makes Possible Many Things: Insights Discovery, Innovation, and Better Decisions
In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). Then, people started adding more V’s, including Veracity and Value, plus many more! I was guilty of adding several more in my article “Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s“.
A glass shattering book draw with gganimate
It’s time for a Twitter book draw again: every month, a random Locke Data Twitter follower wins an excellent data science book! This month’s book was Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy. The animation I chose to create was inspired by the idea of destruction and by my wanting to try out the fantastic new API of the gganimate
package, and a very fast new gif encoder, gifski
.
TechTarget: Data science in healthcare demands dual focus, expert says
Most data science in healthcare settings is separated into either clinical or business operations work. These projects aim to either improve the delivery of care or make the organization more efficient.
Tips & Tricks for Starting Your First Data Project
Megan Fang and Robert Jett
发表于
Taking on a first data project is no easy task - it’s not clear where to begin, and of course, there are lots of bumps along the way. Here are some tips and tricks that we learned while embarking on our first collaborative (while located in separate continents, no less!), data-driven project that will be useful for any first timer.
R Generation: 25 Years of R
The August 2018 issue of Significance Magazine includes a retrospective feature on the R language. (I suggest reading the PDF version, also available for free access.) The article by Nick Thieme looks back at the 25 years since the R language was first conceived at Auckland University in 1992. It follows the history of R through the first public announcement in 1993, its first release as open source software in 1995, the formation of the R Core Group and the launch of CRAN in 1997, and the release of R version 1.0.0 on February 29, 2000.
R Packages worth a look
Finding Feedback Effects in SEM and Testing for Their Significance (SIRE)Provides two main functionalities. 1 – Given a system of simultaneous equation, it decomposes the matrix of coefficients weighting the endogenous varia …
Build a document search bot using Amazon Lex and Amazon Elasticsearch Service
People spend a lot of time searching documents. First you go to your document store and then you search for relevant documents. If you’re looking for a text inside the document, then you need to do another search.