dplyr, (mc)lapply, for-loop and speed
Want to know whether lapply is quicker than a for-loop? Is there a faster solution? This is the place!
February 2018
Packages for Getting Started with Time Series Analysis in R
A. Motivation During the recent RStudio Conference, an attendee asked the panel about the lack of support provided by the tidyverse in relation to time series data. As someone who has spent the majority of their career on time series problems, this was somewhat surprising because R already has a ... [Read more...]
Interactive Map of UFO Sightings by Year
Whilst an overview of a century of UFO sightings reveals a broad overall feature of the data, it is far more useful to be able to see how sightings change over time. The interactive plot below shows all sightings for a given year. We can clearly see that the number... [Read more...]
Thank You, #rstats World
Why start another data science blog? Two main reasons. First and foremost, this blog is an effort to contribute back to the amazing #rstats community from which I have benefited so much over the past year. Second, I hope it will also challenge me to tackle new and interesting questions ... [Read more...]
R Tip: Use qc() For Fast Legible Quoting
Here is an R tip. Need to quote a lot of names at once? Use qc(). This is particularly useful in selecting columns from data.frames: library("wrapr") # get qc() definition head(mtcars[, qc(mpg, cyl, wt)]) # mpg cyl wt # Mazda RX4 21.0 6 2.620 # Mazda RX4 Wag 21.0 6 2.875 # Datsun 710 22.8 … Continue reading R Tip: ... [Read more...]
Dealing with Interval Data and the nycflights13 package using R
In my job, I often work with data sampled at regular intervals. Samples
may range from 5-minute intervals to daily intervals, depending on the
specific task. While working with this kind of data is straightforward
when its in a database (and I can use SQL), I have been in a ...
R markdown blog template
This blog post is mostly for myself but maybe it’s useful to others. It contains my current R markdown blog template. I initially posted this as a question at StackOverflow. Then I read how much a burden we put in Yihui Xie and decided that my curren... [Read more...]
Connect to Google Sheets in Power BI using R
Hello again everyone! This latest blog post comes from this youtube video that we published a little while ago.
Here’s the step by step instructions for using the ‘googlesheets’ package in R to enable you to get your data from Google Sheets
Step 1 - Preparation Create an authentication token ... [Read more...]
R markdown blog template
This blog post is mostly for myself but maybe it’s useful to others. It contains my current R markdown blog template. I initially posted this as a question at StackOverflow. Then I read how much a burden we put in Yihui Xie and decided that my curren... [Read more...]
Global Distribution of UFO Sightings 1910-2013
Where are you most likely to see a UFO? More importantly, where are they most likely to see you? Thankfully, the National UFO Reporting Centre (NUFORC) have diligently compiled and curated a dataset of over a century of global UFO sightings. The data has been processed, cleaned, and uploaded by... [Read more...]
Response to FiveThirtyEight’s Podcast about our paper, “Projecting confidence”
Where were you on the night of Nov 8, 2016? If you’re anything like me, you were watching election night coverage and wondering not whether Clinton or Trump would win, but might Clinton do so well that she’d win in … Continue reading →
Pym.js Library Vulnerability in widgetframe Package
What’s Up? The NPR Visuals Team created and maintains a javascript library that makes it super easy to embed iframes on web pages and have said documents still be responsive. The widgetframe R htmlwidget uses pym.js to bring this (much needed) functionality into widgets and (eventually) shiny apps. ...
Books I liked in 2017 by @ellis2013nz
I last blogged about books in September 2016 and it’s still in my 10 most popular posts. I thought I’d update it with some of the data-relevant books I read in 2017. Mostly these are books that were published before 2017 - it’s just that it was last year that I ... [Read more...]
Books I liked in 2017 by @ellis2013nz
I last blogged about books in September 2016 and it’s still in my 10 most popular posts. I thought I’d update it with some of the data-relevant books I read in 2017. Mostly these are books that were published before 2017 - it’s just that it was last year that I ... [Read more...]
Books I liked in 2017 by @ellis2013nz
I last blogged about books in September 2016 and it’s still in my 10 most popular posts. I thought I’d update it with some of the data-relevant books I read in 2017. Mostly these are books that were published before 2017 - it’s just that it was... [Read more...]
Mix ggplot2 graphs with your favorite memes. memery 0.4.2 released.
Make memorable plots with memery. memery is an R package that generates internet memes including superimposed inset graphs and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. Version 0.4.2 of memery is now on CRAN. The latest development version and a package ...
A Tidy Text Analysis of My Google Search History
While brainstorming about cool ways to practice text mining with R I
came up with the idea of exploring my own Google search history. Then,
after googling (ironically) if anyone had done something like this, I
stumbled upon Lisa Charlotte’s blog
post.
Lisa’s post (actually, a series of ...
RSiteCatalyst Version 1.4.14 Release Notes
Like the last several updates, this blog post will be fairly short, given only a single bug fix was added.
Thanks again to GitHub user leocwlau who reported that the GetReportSuiteGroups function added an additional field AND provided the solution. No... [Read more...]
Importing 30GB of data in R with sparklyr
Disclaimer: the first part of this blog post draws heavily from Working with CSVs on the Command Line, which is a beautiful resource that lists very nice tips and tricks to work with CSV files before having to load them into R, or any other statistical software. I highly recommend ... [Read more...]
Affordable automatic deployment of Spark and HDFS with Kubernetes and Gitlab CI/CD
Summary
Running an application on Spark with external dependencies, such as R and python packages, requires the installation of these dependencies on all the workers. To automate this tedious process, a continuous deployment workflow has been developed... [Read more...]
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