October 2017

Abstract Data Types and the Uniform Referent Principle II: why Douglas T. Ross would hate nest(), unnest(), gather() and spread()

October 1, 2017 | Jocelyn Ireson-Paine

In “Abstract Data Types and the Uniform Referent Principle I: why Douglas T. Ross would hate nest(), unnest(), gather() and spread()”, I explained why the notation for interfacing to a data structure should be independent of that structure’s representation. R programmers honour this principle in the same way that ... [Read more...]

Last Day for Stanton Predictions

October 1, 2017 | jameshunterbr

This week I’ve been looking at two models in R that are attempting to predict whether Giancarlo Stanton would break Roger Maris’ mark of 61 home runs in a season. I’ve not been counting Barry Bond’s official record of 73 … Continue reading →
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Retrieve & process TV News chyrons with newsflash

October 1, 2017 | hrbrmstr

The Internet Archive recently announced a new service they’ve dubbed ‘Third Eye’. This service scrapes the chyrons that annoyingly scroll across the bottom-third of TV news broadcasts. IA has a vast historical archive of TV news that they’ll eventually process, but — for now — the more recent broadcasts from ...
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Querying Zenodo.org repository with R

October 1, 2017 | Carsten's blog

Zenodo Zenodo is a repository which allows everybody to deposit free of charge any type of research output, in all disciplines of science. EFSA is piloting it’s use for creating a knowledge base on all types of food safety related evidence(data, doc... [Read more...]

Mapping EFSA’s food consumption data with tmap

October 1, 2017 | Carsten's blog

Disclaimer The opinions expressed in the article are those of the author(s) only, and may not necessarily represent the views of EFSA or of any other EU Institution or body. EFSA’s food consumption data The European Food Safety Authority collects food consumption data from all EU countries and ...
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Exploring Sales Data

October 1, 2017 | Laurens Geffert

A big part of the interview process for many data science positions is a data science task or assignment. Companies usually choose a data set that is typical for them, while only in rare cases a sample of their actual production data. Here, I am explor...
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