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A visual language for querying and updating graphs

Its Global Knowledge Graph connects the world's people, organizations, locations, themes, counts, images and emotions into a single holistic network over the entire planet.

How can you query, explore, model, visualize, interact, and even forecast this vast archive of human society?

This version of the data will most closely match the aggregation level users with previous event analysis experience are familiar with and collapses the database on "DATE ACTOR1 ACTOR2 EVENTCODE" (ie every protest held anywhere in Russia on a given day is collapsed to a single entry).

This version is recommended only for those needing compatibility with analyses based on previous generations of academic event databases and covers the period January 1, 1979 to February 17, 2014. The GDELT 1.0 Global Knowledge Graph begins April 1, 2013 and consists of two parallel data streams, one encoding the entire knowledge graph with all of its fields, and the other encoding only the subset of the graph that records "counts" of a set of predefined categories like number of protesters, number killed, or number displaced or sickened.

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Just the 2015 GKG dataset alone weighs in at over 2.5TB and contains more than three quarters of a trillion emotional scores.

Fourteen different tools are available for geographic, temporal, network, and contextual visualizations of both the Event Database and Global Knowledge Graph.

No technical expertise is required - you just select the visualization you want, enter your query, and a few minutes later it is delivered right to your email inbox!

Files are ZIP compressed in tab delimited format, but named with a ". Each morning, seven days a week, the latest daily update is posted by 6AM EST.

CSV" extension to address some software packages that will not accept . This file is named with the previous day's date in the format "YYYYMMDD.export.


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