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Quantifying Memory: Mapping the #GDELT data in #R (and some Russian protests, too) | #opendata #datascience

Quantifying Memory: Mapping the #GDELT data in #R (and some Russian protests, too) | #opendata #datascience | Public Datasets - Open Data - | Scoop.it
luiy's insight:

The Guardian recently published an article linking to a database of 250 million events. Sounds too good to be true, but as I'm writing a PhD on recent Russian memory events, I was excited to try it out. I downloaded the data, generously made available by Kalev Leetaru of the University of Illinois, and got going. It's a large 650mb zip file (4.6gb uncompressed!), and this is apparently the abbreviated version. Consequently this early stage of the analysis was dominated by eager anticipation, as the Cambridge University internet did its thing.

 

Meanwhile I headed over to David Masad's writeup on getting started with GDELT in python

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7+ ways to plot dendrograms in R I #Clustering #DataScience

7+ ways to plot dendrograms in R I #Clustering #DataScience | Public Datasets - Open Data - | Scoop.it
Today we are going to talk about the wide spectrum of functions and methods that we can use to visualize dendrograms in R. You can check an extended version of this post with the complete reproduci...
luiy's insight:

A quick reminder: a dendrogram (from Greek dendron=tree, and gramma=drawing) is nothing more than a tree diagram that practitioners use to depict the arrangement of the clusters produced by hierarchical clustering.

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60+ R resources to improve your data skills | #datascience #dataviz

60+ R resources to improve your data skills | #datascience #dataviz | Public Datasets - Open Data - | Scoop.it
From books to videos to online tutorials -- most free! -- here are plenty of ideas to burnish your R knowledge.

Via ukituki
luiy's insight:

These websites, videos, blogs, social media / communities, software andbooks/ebooks can help you do more with R; the favorites are listed in bold.

 

 

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