rstats

The data you need to win the Olympics if you go NUTS

When everybody’s moved by the contagious joy of two athletes making history by agreeing to share an Olympic gold medal, the data analyst thinks: “two gold medals for the same competition? is this going to break my dashboard?” "Can we have two gold? 🥇" "Let's make history, man"#GOLD #Tokyo2020 pic.twitter.com/y2PATi92Jq — Giuseppe Famà (@FamaNelMondo) August 1, 2021 In my case, I was worried it would break my parsing script.

Russophobia in Russian official statements and media. A word frequency analysis

N.B. For a better formatted version of this post, consider following this link References to ‘anti-Russian sentiments’ or ‘Russophobia’ - have a long history that dates back to the 19th century (Feklyunina 2012; Darczewska and Żochowski 2015). However, in recent years references to the alleged spread of ‘Russophobia’ in the West have apparently become more common and more politically consequential, in particular after Russia’s annexation of Crimea and the war in the Donbas (Darczewska and Żochowski 2015).

Finding gendered street names. A step-by-step walkthrough with R

EDJNet has recently released the first pilot version of “Mapping diversity”: it shows for the main city in each of Italy’s regions how many streets are dedicated to men and women and includes details about who these streets were dedicated to. In a visually impressive format developed by Sheldon.studio with text and analysis by Alice Corona, it highlights that many more streets are dedicated to men than to women, and that many of those women are Catholic saints or other religious figures.

Google Earth Studio as a data visualisation tool (with R)

Google Earth Studio is a fancy tool that allows for the creation of videos of stunning quality, by making it possible to create smooth transitions between locations across the globe, zooming in closer to the ground, and showing mountains and cities in 3D. Here is their own promo video: However, so far I have not really seen it used for data visualisation, nor I have seen any post online discussing how to use Google Earth Studio with data.

Beautiful Gantt charts with ggplot2

A new straightforward online interface that makes it easy to create and customise decent-looking charts for grant applications

How to find the population-weighted centre of local administrative units

A structured approach and a new R package to deal with a recurrent question

castarter - content analysis starter toolkit for R

castarter is designed to make it easy also for relatively inexperienced users to create a textual dataset from a website, or a section of a website, keep it up-to-date, and explore it through word frequency graphs or a web interface that makes it possibe to tag items. Documentation is available on castarter’s website.

EDJNet's Quote Finder

EDJNet’s Quote Finder facilitates finding different takes on European affairs. It provides an interactive interface to explore and filter tweets by all members of the European Parliament who are on Twitter, and to visualise word frequencies as wordclouds. It is possible to filter contents based on keywords, hashtags, political affiliation and language of the tweet. A different interface allows for interactively exploring textual contents published by EU-institutions such as press-releases. In this case, available visualisations include time series in order to highlight changes in the relative prominence of certain issues within the official EU discourse.

ganttrify - Create beautiful gantt charts with ggplot2

ganttrify facilitates the creation of nice-looking Gantt charts, commonly used in project proposals and project management. Documentation is available on GitHub.

genderedstreetnames - Find and plot on a map gendered street names

genderedstreetnames automatically finds the gender of street names, facilitates manually fixing what the automatic part got wrong, and plots the results. It gets information from OpenStreetMap and Wikidata. There is currently a vignette showing examples of what can be done with this package on the package’s website. Documentation is available on GitHub.