Shiny Apps: Development and Deployment

Shiny Apps allow developers and researchers to easily build interactive web applications within the environment of the statistical software R. Using these apps, R users can interactively communicate their work to a broader audience. In this Method Bites Tutorial, Konstantin Gavras and Nick Baumann present a comprehensive recap of Konstantin Gavras’ (University of Mannheim) workshop materials to illustrate how Shiny Apps enable vivid data presentation as well as its usefulness as an analytical tool. Continue reading

Advancing Text Mining with R and quanteda

Everyone is talking about text analysis. Is it puzzling that this data source is so popular right now? Actually no. Most of our datasets rely on (hand-coded) textual information. Extracting, processing, and analyzing this oasis of information becomes increasingly relevant for a large variety of research fields. This Methods Bites Tutorial by Cosima Meyer summarizes Cornelius Puschmann’s workshop in the MZES Social Science Data Lab in January 2019 on advancing text mining with R and the package quanteda. Continue reading

Studying Politics on and with Wikipedia

The online encyclopedia Wikipedia, together with its sibling, the collaboratively edited knowledge base Wikidata, provides incredibly rich yet largely untapped sources for political research. In this Methods Bites Tutorial, Denis Cohen and Nick Baumann offer a hands-on recap of Simon Munzert’s (Hertie School of Governance) workshop materials to show how these platforms can inform research on public attention dynamics, policies, political and other events, political elites, and parties, among other things. Continue reading

Quantitative Analysis of Political Text

How can we infer actors’ positions, substantive topics, or sentiments from (political) texts? This Methods Bites Tutorial by Julian Bernauer summarizes Denise Traber’s workshop in the MZES Social Science Data Lab in Spring 2018. Using exemplary sets of political documents (election manifestos and coalition agreements), it showcases tools of QTA for a variety of analytical objectives and demonstrates how to create, process, and analyse a text corpus through a series of hands-on applications. Continue reading

Collecting and Analyzing Twitter Data Using R

How do you access Twitter’s API, collect a stream of tweets, and analyze the retrieved data? Which potentials, challenges, and limitations for social scientific research come along with using Twitter data? This Methods Bites Tutorial by Denis Cohen, based on a workshop by Simon Kühne (Bielefeld University) in the MZES Social Science Data Lab in Spring 2019, aims to tackle these questions. Continue reading

Visual Inference with R

How can we use data visualization for hypothesis testing? This question lies at the heart of this Methods Bites Tutorial by Cosima Meyer, which is based on Richard Traunmüller’s workshop in the MZES Social Science Data Lab in Fall 2017. Continue reading

Data Visualization with R

How to make the invisible visible was the starting point of Richard Traunmüller’s one-day workshop in the MZES Social Science Data Lab in Fall 2016. This Methods Bites Tutorial by Cosima Meyer provides you with some illustrative examples from Richard’s workshop. Continue reading