The R analytics blog

This section, intended for the more technically minded readers, will deal with real data analysis problems and their solutions – mostly in R.

Efficient missing line imputation using the rep function

R Analytics Blog – 2017 / 04 /21

To get this R workshop series started, I want to present a little data preparation procedure which comes up often in the analysis of time series.

We are used to thinking of time series as somehow being regularly spaced. For instance, we may be looking at preaggregated data, like daily or weekly total sales, or measurements being made at predefined points in time, like closing prices of a stock or the number of companies in business at the end of a given month.


A simple static website generator with purrr

R Analytics Blog – 2017 / 07 / 27

Today, I want to present a simple way to use purrr to create a static website generator. Of course, there is Jekyll, Hugo and the blogdown package, but in many cases you may find yourself, like I did, with your own bits and pieces of html, no time to learn yet another language, and in need of a way to put all this into a structured and consistent static website.


Open research on the German fuel prices data set

R Analytics Blog – 2017 / 07 / 28

The data set on German fuel prices contains the fuel prices, but not the sales, from more than 14000 fuel stations in Germany since June 2014. It is made available by the webservice as a Postgres dump (from June 2014 onwards) under CC4.0.

Quantitative Consulting

Boris Vaillant - Quantitative Consulting 17

QC 17