Here is a bit refreshed translation of my 2015 blog post, initially published on Russian blog platform habr.com. The post shows how to organize a personal academic library of unlimited size for free. This is a funny case of a self written manual which I came back to multiple times ...

Have you been feeling lately that you are missing out the coolest skill-set in academia? Here is you chance to cut in and dive into R. In July BaRacelona Summer School of Demography welcomes dedicated scholars, aspiring or established, to help th...

On 28 November 2018 I presented a poster at Dutch Demography Day in Utrecht. Here it is:

SCImago Journal & Country Rank provides valuable estimates of academic journals’ prestige. The data is freely available at the project website and is distributed for deeper analysis in forms of .csv and .xlsx files. I downloaded all the files a...

I am happy to announce that our paper is published today in The Lancet. Kashnitsky, I., & Schöley, J. (2018). Regional population structures at a glance. The Lancet, 392(10143), 209–210. https://doi.org/10.1016/S0140-6736(18)31194-2 At a...

Preambule

Tiny things can separate life into “before” and “after”. Here is one. For almost a year I’ve been daily sending mental “thank you” to Ugo (@ugobas) who showed me how to re-organize panes in RStudio. Since then I’ve been spreading this tiny improvement so many times that I ...

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do ...

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do ...

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do ...

R Documentation at Stack Overflow One of the nice features of R is the ease of data acquisition. I am now working on the examples of data acquisition form different sources within an R session. Soon I am going publish a long-read with an overview of demographic data acquisition in ...

In the modern history, the world has seen unprecedented decrease in human mortality – the result of the Demographic Transition. Initially, the improvements occurred only in the most developed societies, and by the mid XX century the world population was roughly divided in two parts according to mortality patterns (see the ...

One of the nice features of the ggapproach to plotting is that one can save plots as R objects at any step and use later to render and/or modify. I used that feature extensively while creating maps with ggplot2 (see my previous posts: one, two, three, four, five). It ...

Data visualization is quite often a struggle to represent multiple relevant dimensions preserving the readability of the plot. In this post I will show my recent multidimensional dataviz prepared for Rostock Retreat Visualization, an event that gathered demographers for an amazing “three days long coffebreak”.

Following the surprising success of my latest post, I decided to show yet another use case of the handy ggplot2::annotation_custom(). Here I will show how to add small graphical information to maps – just like putting a stamp on an envelope.

For my recently published paper, I produced not-so-standard figures that show the two step decomposition used in the analysis. Have a look:

The 2017 Ice Hockey World Championship has started. Thus I want to share a small research on the height of ice hockey players that I did almost a year ago and published in Russian.

This is a very short post on mapping with ggplot2.

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