Blog Archives

Printing From Flex Dashboard

June 27, 2017
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Printing From Flex Dashboard

Shiny applications of all stripes (including flexdashboard with runtime Shiny) are revolutionary in that they put the power of R directly in the end user’s hands without needing to interact directly with the language. A common way end-users wish to interact with their data is via a dashboard that they can manipulate on the fly. Flexdashboard streamlines the process...

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May New Package Picks

June 22, 2017
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May New Package Picks

Two hundred and twenty-nine new packages were submitted to CRAN in May. Here are my picks for the “Top 40”, organized into five categories: Data, Data Science and Machine Learning, Education, Miscellaneous, Statistics and Utilities. Data angstroms v0.0.1: Provides helper functions for working with Regional Ocean Modeling System (ROMS) output. bikedata v0.0.1: Download and aggregate data from public bicycle systems from around...

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Analytics Administration for R

June 20, 2017
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Analytics Administration for R

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 about their work, they influence others in the organization...

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Some R User Group News

June 15, 2017
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Some R User Group News

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 Regularized Least Squares. Not only is the Political Science compelling,...

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Mapping Quandl Data with Shiny

June 13, 2017
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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 and our app more performant. The final app is available...

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What is the tidyverse?

June 7, 2017
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What is the tidyverse?

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 SAS. It was a pretty sophisticated crowd, but not surprisingly,...

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A Shiny App for Exploring Commodities Prices and Economic Indicators, via Quandl

June 1, 2017
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In a previous post, we created an R Notebook to explore the relationship between the copper/gold price ratio and 10-year Treasury yields (if you’re curious why we might care about this relationship, have a quick look at that previous post), relying on data from Quandl. Today, we’ll create a Shiny app that lets users choose which different commodities ratios...

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April New Package Picks

May 29, 2017
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April New Package Picks

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 external resources. Data comtradr v0.0.1: Provides functions to...

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Civic Data Wrangling: in R and on data.world

May 25, 2017
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Civic Data Wrangling: in R and on data.world

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 an intuitive way to store, organize, explore, and visualize individual data files, making...

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Growth of DataFest over the years

May 23, 2017
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Growth of DataFest over the years

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 locations and participating institutions, as well as in terms of...

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