April 2020

Time sinks for data wrangling

April 30, 2020 | Bluecology blog

Time sinks for data wrangling Estimating the time it will take to complete a project is an important part of being a successful PhD student, researcher or consultant. A major time sink on many analytical projects is data wrangling. Often the wranglin... [Read more...]

Animations in the time of Coronavirus

April 30, 2020 | R on head spin - the Heads or Tails blog

The first four months of 2020 have been dominated by the Coronavirus pandemic (aka COVID-19), which has transformed global life in an unprecedented way. Societies and economies struggle to adapt to the new conditions and necessary contraints. A reassuringly large fraction of governments around the world continue to take evidence-based approaches ... [Read more...]

Rendering your README with GitHub Actions

April 30, 2020 | Gavin L. Simpson

There’s one thing that has bugged me for a while about developing R packages. We have all these nice, modern tools we have for tracking our code, producing web sites from the roxygen documentation, an so on. Yet for every code commit I make to the master branch of ... [Read more...]

Which Technology Should I Learn?

April 30, 2020 | DataCamp Team

Knowing where to start can be challenging, but we're here to help. Read on to learn more about where to begin on your data science and analytics journey. Data science and analytics languages If you’re new to data science and analytics, or your organization is, you’ll need to ...
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Z is for Additional Axes

April 30, 2020 | Unknown

Here we are at the last post in Blogging A to Z! Today, I want to talk about adding additional axes to your ggplot, using the options for fill or color. While these aren't true z-axes in the geometric sense, I think of them as a third, z, axis.Some ...
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Vignette: Simulating a minimal SPSS dataset from R

April 29, 2020 | Martin Chan

What this is about 📖 I will simulate a minimal labelled survey dataset that can be exported as a SPSS (.SAV) file (with full variable and value labels) in R. I will also attempt to fabricate ‘meaningful patterns’ to the dataset such that it can be more effectively used for creating ... [Read more...]

Expert opinion (again)

April 29, 2020 | R | Gianluca Baio

THis is the second video I was mentioning here — took a while to get out but it’s available now. I think you need to register here and then you can see our panel discussion. Like I said earlier, it was good fun and I think the actual session we ... [Read more...]

Causal Inference cheat sheet for data scientists

April 29, 2020 | Antoine Rebecq

Being able to make causal claims is a key business value for any data science team, no matter their size.Quick analytics (in other words, descriptive statistics) are the bread and butter of any good data analyst working on quick cycles with their product team to understand their users. But ... [Read more...]

How to Safely Remove a Dynamic Shiny Module

April 29, 2020 | Krystian Igras

Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blogpost, I present how to remove deleted module leftovers and make sure that your Shiny graph observers are rendered just once. While working with advanced Shiny applications, ...
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Y is for scale_y

April 29, 2020 | Unknown

Yesterday, I talked about scale_x. Today, I'll continue on that topic, focusing on the y-axis.The key to using any of the scale_ functions is to know what sort of data you're working with (e.g., date, continuous, discrete). Yesterday, I talked about sc...
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Movie Recommendation With Recommenderlab

April 29, 2020 | Andreas Vogl

To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie recommender with R and provides it in a Shiny App. Der Beitrag Movie Recommendation With Recommenderlab erschien zuerst auf STATWORX.
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Testing for Covid-19 in the U.S.

April 28, 2020 | arthur charpentier

For almost a month, on a daily basis, we are working with colleagues (Romuald, Chi and Mathieu) on modeling the dynamics of the recent pandemic. I learn of lot of things discussing with them, but we keep struggling with the tests. Paul, in Montréal, helped me a little bit, ...
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