An introduction to marriage tactics in the republic of Venice through the use of the dogesR CRAN package.

How to use the `dogesr` CRAN package, that includes data on Venetian doges (or presidents of the republic), to work out how long they stayed in power and if there was some change along the eleven centuries the Republic lasted.

Uso de anomalize para descomponer la serie temporal de fallecimientos (extraída de Datadista) en tendencia + estacionalidad + resto. La línea muestra tendencia + estacionalidad, y la barra gruesa es el resto, con un color relativo a su valor. Código en https://github.com/JJ/covid-reports

El 1 de mayo el ministerio de Sanidad español publicó de nuevo todas las series de fallecimientos, altas, contagios y otros datos; en esta serie hay diferencias considerables con respecto a la serie anterior. Usando los datos del Datadista, calculamos la diferencia entre los nuevos fallecimientos usando la serie anterior (turquesa) y la actual (rojo)

Finding good predictors for the number of deceases, among other things, allows the public to assess in which phase of the pandemic we really are now. In this report we try to fit different series of ICU and hospital check-ins to deceases in Spain, and try to come up with a good predictor for the number of deceases today, with the main objective of finding out, on the spot, if we're past the peak number of deceases or not.

Los datos diarios son más adecuados para tratar de predecir el estado futuro de casos, hospitalizaciones y decesos. En este informe, usando los datos del Datadista, tratamos de inferir la dinámica de los casos del COVID19 en España usando correlaciones cruzadas y autocorrelaciones de las diferentes series.

The Spanish Government declared a national emergency on March 14th, 2020 due to the coronavirus outbreak. Three weeks later, there's no end in sight. The scarcity of hard data makes it hard to predict when the peak will be reached, and when it might end. In this report we will try and estimate the peak combining prediction based on different time series and the logistic growth curve.

Different countries attacked the COVID-19 outbreak in different ways; however, the results seem to have some correlation, even more so if the countries are similar geographically, politically and culturally. In this report we investigate correlations between the time series of infection and deceases in Spain and Italy, and try to come up with a lag between them, so that we can infer something on the Spanish situation, which seems to go behind.

Más allá de las series, las correlaciones entre datos y diferencias de datos diarios permiten establecer posibles relaciones causa-efecto, y predecir a corto plazo una variable a partir de otras.

Different countries have different policies regarding testing of COVID-19 infections and reporting of deceases due to that infection. These policies show themselves in the evolution of the case fatality ratio, or relation between total number of infected people and reported deceases. Its dynamics and statistical features will allow us to assess these policies mainly regarding under-testing or under-reporting of fatalities.

Documento en RMarkdown que presenta en unos gráficos los datos publicados por el Ministerio de Sanidad a través del Datadista, incluyendo diferencias con días anteriores, también suavizadas para ofrecer un panorama más completo que no incluya retrasos en los informes o diferentes períodos.

In this paper we try offer a methodology to estimate the infection fatality rate using rolling sums of cases and deaths, as well as correlation between these to estimate the time from detection to outcome. By this methodology, the South Korea infection fatality rate is found to be around 0.5%. Trying to apply the same method to Germany leads to conflicting results, which might be a failure in the methodology or in the reporting of cases by this country.

Análisis de nuevos casos, altas y fallecimientos, junto con gráficas de correlación entre el número de casos, fallecimientos y altas.

Usando los datos del repositorio de Datadista, nuevos casos de coronavirus en España desde el principio. Se puede consultar el repositorio en https://github.com/datadista/datasets. Los datos y el script que los genera tienen licencia libre.

An analysis of how Perl 6 documentation has been scored in the first Perl 6 developer survey, cross checking it against other responses.

Informe preliminar sobre tecnologías y género de los asistentes a las 9ª jornadas de R Hispano, celebradas en Granada el 16 y 17 de noviembre de 2017.

here is no single *natural* way of analyzing the graph created by the collaborative work of a team of software developers as reflected in the log of that repository. In this paper we will analyze several graphs created by this work, considering author or files the nodes in what is actually a bipartite network. We will try to find out which network better represents the complex nature of the technosocial system.

Un análisis de las visitas a la página de Nicolás Copérnico en la Wikipedia española

La distribución de votos entre partidos cambia de elección a elección, pero a priori, a pesar de interpretaciones como el "tsunami bipartidista" y "las mareas del cambio", es difícil saber qué tendencia sigue y cómo y con qué frecuencia se producen estos cambios. Para averiguarlo y a partir de los datos de las elecciones españolas de ámbito nacional desde 1977, hemos medido una serie de índices de desigualdad y analizado qué cambios y tendencias aparecen.

Measuring and ranking the free software developers in a particular geographical location is a way of knowing the existing community and also allows assessing the impact of certain policies in the dynamics of such a community. Besides, it is interesting to try and find out why there are differences from one place to the next and how these differences evolve with time. In this paper, our main interest is to measure and rank the community of free software developers in Spain and also check its geographical distribution. That is why measures are taken by province, providing a classification of provinces according to the number and type of developers present in each place. A study of the most popular languages is also made, leaving JavaScript as a clear winner.

Un informe con las recogidas llevadas a cabo por la OSL desde 2012 hasta la actualidad, disgregados por origen

Evolución de las recogidas de material informático gestionadas por la OSL (http://osl.ugr.es) a lo largo del tiempo.

Evolución del número de publicaciones de la Universidad de Granada

Porcentajes de voto a cada uno de los candidatos en las elecciones a la UGR, 25 de mayo

A graph that plots the amount of computing power lent to the prime search experiment by users.

Un ránking en escala logarítmica de los 180 investigadores rastreados por UGR investiga

Part of the series "GitHub users in Spain", with updated values to June 2015

An analysis of GitHub users in Spain and how they are distributed among regions and provinces, also the reasons why some provinces might be more "productive" than others

Measuring and ranking the free software developers in a particular geographical space is a way of knowing the existing community and also allows assessing the impact of certain policies in the dynamics of such a community. Besides, it is interesting to try and find out why there are differences from one place to the next and how these differences evolve with time. In this paper, our main interest is to measure and rank the community of free software developers in Spain. This paper is an initial assessment, and measures differences by province, providing a classification of provinces according to the number and type of developers present in each place.