October 2019

Building a Shiny App for Cycling in Ottawa

October 26, 2019 | 0 Comments

This is a different kind of post, but one that I think is kind of fun. I currently live in Ottawa, which for those who don’t know, is the capital city of Canada. For a capital city, it’s fairly small, but it’s increasingly urbanizing (we just got ...
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A duck. Giving a look at DuckDB since MonetDBLite was removed from CRAN

October 26, 2019 | 0 Comments

You may know that MonetDBLite was removed from CRAN.DuckDB comming up. Breaking change __ install.packages('MonetDBLite') Warning in install.packages : package ‘MonetDBLite’ is not available (for R version 3.6.1)People who based their works on MonetDBLite may ask what happened, what to do. Not to play a risky game with ... [Read more...]

A duck. Giving a look at DuckDB since MonetDBLite was removed from CRAN

October 26, 2019 | 0 Comments

You may know that MonetDBLite was removed from CRAN.DuckDB comming up. Breaking change __ install.packages('MonetDBLite') Warning in install.packages : package ‘MonetDBLite’ is not available (for R version 3.6.1)People who based their works on MonetDBLite may ask what happened, what to do. Not to play a risky game with ... [Read more...]

A Comprehensive Introduction to Command Line for R Users

October 25, 2019 | 0 Comments

In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a wide range of audience. We have created a RStudio Cloud Project to ensure that all readers are using the same environment while going ...
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RAthena 1.3.0 has arrived

October 25, 2019 | 0 Comments

RBloggers|RBloggers-feedburner Recap: RAthena is a R package that interfaces into Amazon Athena. However, it doesn’t use the standard ODBC and JDBC drivers like AWR.Athena and metis. Instead RAthena utilises Python’s SDK (software development kit) into Amazon, Boto3. It does this by using the reticulate package that ... [Read more...]

A Comprehensive Introduction to Command Line for R Users

October 25, 2019 | 0 Comments

In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a wide range of audience. We have created a RStudio Cloud Project to ensure that all readers are using the same environment while going ...
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Pivoting tidily

October 25, 2019 | 0 Comments

One of the fun bits of my job is that I have actual time dedicated to helping colleagues and grad students with statistical or computational problems. Recently I’ve been helping one of our Lab Instructors with some data that from their Plant Physiology Lab course. Whilst I was writing ...
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dang 0.0.11: Small improvements

October 24, 2019 | 0 Comments

A new release of what may be my most minor package, dang, is now on CRAN. The dang package regroups a few functions of mine that had no other home as for example lsos() from a StackOverflow question from 2009 (!!) is one, this overbought/oversold pri... [Read more...]

The politics of New Mexico: a brief historical-visual account

October 23, 2019 | 0 Comments

New Mexico demographics via tidycensus 2016 Presidential Election Presidential elections in New Mexico historically New Mexico as bellwether? Congressional delegation historically New Mexico State Government Summary In this post, we piece together a brief political history of New Mexico using a host of data sources, including Wikipedia, the US Census, the ...
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RStudio Professional Drivers 1.6.0

October 23, 2019 | 0 Comments

Access to data is crucial for data science. Unfortunately, servers that run RStudio are often disconnected from databases, especially in organizations that are new to R. In order to help data scientists access their databases, RStudio offers ODBC data connectors that are supported, easy to install, and designed to work ... [Read more...]

Gold-Mining Week 8 (2019)

October 23, 2019 | 0 Comments

Week 8 Gold Mining and Fantasy Football Projection Roundup now available -on time and ready to go! The post Gold-Mining Week 8 (2019) appeared first on Fantasy Football Analytics. [Read more...]

Decision Making Support Systems #3: Differences between IA and AI

October 23, 2019 | 0 Comments

The Differences between Artificial Intelligence and Augmented Intelligence In previous posts, we looked at the definition of Artificial Intelligence (AI) and the definition of Intelligence Augmentation (IA). So, what are the differences between the two? Intelligence Augmentation has always been concerned with aiding human decision making and keeping humans-in-the-loop, whereas ...
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Horizontal scaling of data science applications in the cloud

October 23, 2019 | 0 Comments

Prediction models, machine learning algorithms and scripts for data storage: The modern data science application not only shows more and more complexity, but also puts the existing infrastructure to the test by temporary resource peaks. In this article, we will show how tools such as the RStudio Job Launcher in ...
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linl 0.0.4: Now with footer

October 23, 2019 | 0 Comments

A new release of our linl package for writing LaTeX letters with (R)markdown just arrived on CRAN. linl makes it easy to write letters in markdown, with some extra bells and whistles thanks to some cleverness chiefly by Aaron. This version now suppor...
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#TidyTuesday: Which are the best family cars for your weekend trip?

October 22, 2019 | 0 Comments

This week, I will analyze Car Fuel Economy dataset from TidyTuesday. What is TidyTuesday? TidyTuesday is a weekly social data project in R organized by the R for Data Science community. It is a great way of improving your Data wrangling and visualization techniques, sharing and learning from others. You ...
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pkgKitten 0.1.5: Creating R Packages that purr

October 22, 2019 | 0 Comments

Another minor release 0.1.5 of pkgKitten just hit on CRAN today, after a break of almost three years. This release provides a few small changes. The default per-package manual page now benefits from a second refinement (building on what was introduc... [Read more...]

Council spending – open data

October 22, 2019 | 0 Comments

My local authority recently decided to publish all spending over £500 in an effort to be more transparent. Here’s a post taking an overview of what they’ve published. I’ve used R for the… Continue reading →
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Super Solutions for Shiny Architecture #5 of 5: Automated Tests

October 22, 2019 | 0 Comments

TL;DR Describes the best practices for setting automated test architecture for Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests. Best Practices for Testing Your Shiny App Even your best apps will break down at some point during development or during ...
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