Introduction Some people think that the main idea of forecasting is in predicting the future as accurately as possible. I have bad news for them. The main idea of forecasting is in decreasing the uncertainty. Think about it: any event that we want to predict has some systematic components \(\mu_t\), which could potentially be captured
Background Google Trends is a well-known, free tool provided by Google that allows you to analyse the popularity of top search queries on its Google search engine. In market...
The riddle of the week on The Riddler was to find the size n of an audience for at least a 50% chance of observing at least one triplet...
We are in the last stages of proofing the galleys/typesetting of Zumel, Mount, Practical Data Science with R, 2nd Edition, Manning 2019. So this edition will definitely be out...
Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and...
rBokeh is an interactive plotting library. Since it functions lack some arguments compared to its Python counterpart, plots are sometimes difficult to customize. I will show how to overcome...
Dear Readers,I always see a repetitive question coming to me and across various forums on how to read multiple files in the zip folder of same separator or multiple...
rOpenSci HQ What would you like to hear about in an rOpenSci Community Call? We are soliciting your “votes” and new ideas for Community Call topics and speakers. Find out...
Producing an API that serves model results or a Shiny app that displays the results of an analysis requires a collection of intermediate datasets and model objects, all of...
This vignette builds on the making maps chapter of the Geocomputation with R book. Its goal is to demonstrate all possible map styles available in the tmap package. Prerequisites The examples below...
library(tidyverse) library(tsibble) library(lubridate) library(feasts) library(fable) In my previous post about the new fable package, we saw how fable can produce forecast distributions, not just point forecasts. All my examples used Gaussian (normal) distributions, so...
I was really struggling with finding a header pic for this post when I came across the one above - titled “Dag scoring and selection” and since it’s sort...
Everyone is talking about text analysis. Is it puzzling that this data source is so popular right now? Actually no. Most of our datasets rely on (hand-coded) textual information....
This tutorial illustrates how to use the bwimge R package (Biagolini-Jr 2019) to describe patterns in images of natural structures. Digital images are basically two-dimensional objects composed by cells...
Private Security is a big industry in South Africa. Most Private Security companies promise to provide a rapid response to every callout generated by any of their customers. There...
Introduction Every company traded in the US stock market must report its quarterly and yearly documents to the SEC and the public in general. This includes its accounting statements (10-K,...
Many of us are using R in a way or another and we all have to deal with R intrinsics and sometimes R weirdness. Standard R way Base package, append function Let’s...
![Le Monde puzzle [#1114]](https://xianblog.files.wordpress.com/2015/10/lemondapari.jpeg?w=450&h=299&%23038;zoom=2)
Another very low-key arithmetic problem as Le Monde current mathematical puzzle: 32761 is 181² and the difference of two cubes, which ones? And 181=9²+10², the sum of two consecutive...
I forgot to do some marketing for the following upcoming AI-related courses which will be given in Leuven, Belgium by BNOSAC 2019-10-17&18: Statistical Machine Learning with R: Subscribe here 2019-11-14&15: Text...
We are excited to share a free extract of Zumel, Mount, Practical Data Science with R, 2nd Edition, Manning 2019: Evaluating a Classification Model with a Spam Filter. This...
SDA is a suite of software developed at Berkeley for the web-based analysis of survey data. The Berkeley SDA archive (http://sda.berkeley.edu) lets you run various kinds of analyses on...
TL;DR Why use object-oriented programming in Shiny applications? It’ll help organizize organize the code in your application! Organize Your Shiny Code with Object-Oriented Programming Classes are used widely in...
Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent The post Simulating data with Bayesian networks appeared first...
Riinu and I are sitting in Frankfurt airport discussing the paper retracted in JAMA this week. During analysis, the treatment variable coded was recoded in error to ....
Today the biggest book fair of the world starts again in Frankfurt, Germany. I thought this might be a good opportunity to do you some good! Springer is one...
In the post (https://statcompute.wordpress.com/2017/01/08/an-example-of-merge-layer-in-keras), it was shown how to build a merge-layer DNN by using the Keras Sequential model. In the example below, I tried to scratch a merge-layer...
Shiny 1.4.0 has been released! This release mostly focuses on under-the-hood fixes, but there are a few user-facing changes as well. If you’ve written a Shiny app before, you’ve probably...
by Antonio Sánchez Learning to code can be quite hard. Apart from the difficulties of learning a new language, following a book...
We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers...
