Articles by R Views

Analytics Administration for R

June 20, 2017 | R Views

Analytic administrator is a role that data scientists assume when they onboard new tools, deploy solutions, support existing standards, or train other data scientists. It is a role that works closely with IT to maintain, upgrade, and scale analytic environments. Analytic admins have a multiplier effect - as they go ...
[Read more...]

Some R User Group News

June 15, 2017 | R Views

This week, members of the Bay Area useR Group (BARUG) celebrated the group’s one hundred and first meetup with beer, pizza and three outstanding presentations at the cancer diagnostics company GRAIL. Pete Mohanty began the evening with the talk Did “Communities in Crisis” Elect Trump?: An Analysis with Kernel ...
[Read more...]

Mapping Quandl Data with Shiny

June 13, 2017 | R Views

Today, we are going to wrap our previously built Quandl/world map Notebook into an interactive Shiny app that lets users choose both a country and a data set for display. As usual, we did a lot of the heavy lifting in the Notebook to make our work more reproducible ... [Read more...]

What is the tidyverse?

June 7, 2017 | R Views

Last week, I had the opportunity to talk to a group of Master’s level Statistics and Business Analytics students at Cal State East Bay about R and Data Science. Many in my audience were adult students coming back to school with job experience writing code in Java, Python and ...
[Read more...]

April New Package Picks

May 29, 2017 | R Views

Here are my picks for the “Top 40” new packages submitted to CRAN in April 2017. These selections, which were culled from 208 submissions, are organized into four categories: Data, Finance, Statistics and Utilities. The number of entries in the Data and Utilities categories reflect the initiatives of R developers to connect to ...
[Read more...]

Civic Data Wrangling: in R and on data.world

May 25, 2017 | R Views

One of the most valuable things I have learned working on Data for Democracy’s Medicare drug spending project has been the value of collaborative tools. It has been my first in-depth experience using Github collaboratively, for one, but it has also introduced me to data.world. data.world is ...
[Read more...]

Growth of DataFest over the years

May 23, 2017 | R Views

In a previous post, I introduced DataFest and how one can streamline the organization of this event using Google Forms and tools from the tidyverse. In this post, I’ll walk through building a Shiny app that demonstrates the growth of DataFest over the years, both in terms of host ...
[Read more...]

Review of Efficient R Programming

May 18, 2017 | R Views

In the crowded market space of data science and R language books, Lovelace and Gillespie’s Efficient R Programming (2016) stands out from the crowd. Over the course of ten comprehensive chapters, the authors address the primary tenets of developing efficient R programs. Unless you happen to be a member of ...
[Read more...]

Databases using R

May 16, 2017 | R Views

Current State Using databases is unavoidable for those who analyze data as part of their jobs. As R developers, our first instinct may be to approach databases the same way we do regular files. We may attempt to read the data either all at once or as few times as ...
[Read more...]

Looking Forward to R/Finance 2017

May 11, 2017 | R Views

R / Finance 2017 starts next Friday, and once again, I am excited about going. It’s true that there are quite a few fun and informative R gatherings these days, but R / Finance is a “big deal” because it is the “real deal”. Finance has been, and remains, one of the ... [Read more...]

Mapping Quandl Macroeconomic Data

May 9, 2017 | R Views

In previous posts, we built a map to access global ETFs and a simple Shiny app to import and forecast commodities data from Quandl. Today, we will begin a project that combines those previous apps. Our end goal is to build an interactive map to access macroeconomic data via Quandl, ... [Read more...]

Shiny in Medicine

May 2, 2017 | R Views

Shiny Apps are becoming ubiquitous as a way for data scientists to present the results of an analysis, and also to engage with information consumers who may not be coders. The trend I see is that the greater the variety of skills and interests of the information consumers for any ...
[Read more...]

NY R Conference

April 27, 2017 | R Views

The 2017 New York R Conference was held last weekend in Manhattan. For the third consecutive year, the organizers - a partnership including Lander Analytics, The New York Meetup and Work-Bench - pulled off a spectacular event. There was a wide range of outstanding talks, some technical and others more philosophical, ...
[Read more...]

Survival Analysis with R

April 25, 2017 | R Views

With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, Survival Analysis is one of the oldest subfields of Statistics [1]. Basic life-table methods, including techniques for dealing with censored data, were known before 1700 [2]. In the early eighteenth ...
[Read more...]

R for Enterprise: Understanding R’s Startup

April 18, 2017 | R Views

R’s startup behavior is incredibly powerful. R sets environment variables, loads base packages, and understands whether you’re running a script, an interactive session, or even a build command. Most R users will never have to worry about changing R’s startup process. In fact, for portability and reproducibility ...
[Read more...]

R for Enterprise: Understanding R’s Startup

April 18, 2017 | R Views

R’s startup behavior is incredibly powerful. R sets environment variables, loads base packages, and understands whether you’re running a script, an interactive session, or even a build command. Most R users will never have to worry about changing R’s startup process. In fact, for portability and reproducibility ...
[Read more...]
1 13 14 15 16 17

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)