October 2019

Vignette: Google Trends with the gtrendsR package

October 17, 2019 | Martin Chan

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 exploration work, we often use Google Trends to get a very quick view of what behaviours, language, and general things are ...
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three birthdays and a numeral

October 17, 2019 | xi'an

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 of people sharing a birthday, as is the case in the present U.S. Senate. The question is much harder to solve ...
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Practical Data Science with R 2nd Edition update

October 17, 2019 | John Mount

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 soon! If you ever wanted to see what Nina Zumel and John Mount are like when we have the help of ... [Read more...]

Job: Junior Systems Administrator (with a focus on R/Python)

October 17, 2019 | Colin Gillespie

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 infrastructure support. Jumping Rivers is an RStudio Full Service Certified Partner. This role is suitable for anyone interested in deploying (Linux-based) ... [Read more...]

rBokeh – Don’t be stopped by missing arguments!

October 17, 2019 | Matthias Nistler

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 those issues and drill out the plot objects. Der Beitrag rBokeh – Don't be stopped by missing arguments! erschien zuerst auf STATWORX.
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Productionizing Shiny and Plumber with Pins

October 16, 2019 | R Views

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 which need to be saved. Depending on the project, they might need to be reused in another project later, shared with ...
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Map coloring: the color scale styles available in the tmap package

October 16, 2019 | the Geocomputation with R website

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 assume the following packages are attached:
library(spData) # example datasets
library(tmap)   # map creation
library(sf)     # spatial data reprojection
The world object containing a world map data from Natural Earth ...
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Non-Gaussian forecasting using fable

October 16, 2019 | R on Rob J Hyndman

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 in this post I want to show how non-Gaussian forecasting can be done. As an example, we will use eating-out ...
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Automatic DAG learning – part 1

October 16, 2019 | R on Just be-cause

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 of the topic of this post I decided to use it! Intro On my second post I’ve stressed ...
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Advancing Text Mining with R and quanteda

October 16, 2019 | R on Methods Bites

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. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites ...
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Advancing Text Mining with R and quanteda

October 16, 2019 | R on Methods Bites

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. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites ...
[Read more...]

Private Security and the Pareto Principle

October 15, 2019 | R on datawookie

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 is a delicate balance between the number of response vehicles and the number of customers (and the frequency of their callouts!), ...
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Add custom summary statistics in ggplot2

October 15, 2019 | Posts | SERDAR KORUR

It is hard to understand your data by looking at the numbers on a csv file. You need to plot it. And adding statistics to your plots will make it more informative. To evaluate data, we typically use mean and median to define its central tendency and range, quartiles, variance ...
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New package: GetEdgarData

October 15, 2019 | R on msperlin

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, 10-K) and any other corporate event that is relevant to investors. Edgar is the interface where we can search for ... [Read more...]

Easy introduction to Offensive Programming

October 15, 2019 | Neonira

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 look at a first example, using the very useful append function from base R. The f...
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Le Monde puzzle [#1114]

October 15, 2019 | xi'an

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 integers. Is this a general rule, i.e. the root z of a perfect square that is the difference of two cubes is always ...
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