Some thoughts about the use of cloud services and web APIs in social science research
In the recent weeks I’ve collaborated on the online book APIs for social scientists and added two chapters: a chapter … Read More → [Read more...]
Articles by Markus Konrad
Spatially weighted averages in R with sf
Spatial joins allow to augment one spatial dataset with information from another spatial dataset by linking overlapping features. In this … Read More →
Clustered standard errors with R
In many scenarios, data are structured in groups or clusters, e.g. pupils within classes (within schools), survey respondents within countries … Read More →
Simplifying geospatial features in R with sf and rmapshaper
When working with geospatial data, memory consumption and computation time can become quite a problem, since these datasets are often … Read More →
Developing a complex R Shiny app – the good, the bad and the ugly
Together with Clara Bicalho (UC Berkeley) and Sisi Huang (WZB), I recently developed a web application that acts as a … Read More →
A Twitter network of members of the 19th German Bundestag – part II
This is the second part about my project that deals with the Twitter network of members of the Bundestag. After … Read More →
A Twitter network of members of the 19th German Bundestag – part I
For the R tutorial that I gave at the WZB in the previous semester, I gave an introduction on how … Read More →
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Zooming in on maps with sf and ggplot2
When working with geo-spatial data in R, I usually use the sf package for manipulating spatial data as Simple Features … Read More →
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Three ways of visualizing a graph on a map
When visualizing a network with nodes that refer to a geographic place, it is often useful to put these nodes … Read More →
Visualizing graphs with overlapping node groups
I recently came across some data about multilateral agreements, which needed to be visualized as network plots. This data had … Read More →
Creating a “balloon plot” as alternative to a heat map with ggplot2
Heat maps are great to compare observations with lots of variables (which must be comparable in terms of unit, domain, … Read More →
Parallel Coordinate Plots for Discrete and Categorical Data in R — A Comparison
Parallel Coordinate Plots are useful to visualize multivariate data. R provides several packages/functions to draw Parallel Coordinate Plots (PCPs):
ggparcoord in the package GGally
the package ggparallel
plain ggplot2 with geom_path
In this post I w...
Dynamic column/variable names with dplyr using Standard Evaluation functions
Data manipulation works like a charm in R when using a library like dplyr. An often overlooked feature of this library is called Standard Evaluation (SE) which is also described in the vignette about the related Non-standard Evaluation. It basically al... [Read more...]
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