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You're reading from  Apache Superset Quick Start Guide

Product typeBook
Published inDec 2018
Reading LevelIntermediate
Publisher
ISBN-139781788992244
Edition1st Edition
Languages
Python
Tools
Apache Superset
Concepts
Business Intelligence
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Author (1)
Shashank Shekhar
Shashank Shekhar
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Shashank Shekhar

Shashank Shekhar is a data analyst and open source enthusiast. He has contributed to Superset and pymc3 (the Python Bayesian machine learning library), and maintains several public repositories on machine learning and data analysis projects of his own on GitHub. He heads up the data science team at HyperTrack, where he designs and implements machine learning algorithms to obtain insights from movement data. Previously, he worked at Amino on claims data. He has worked as a data scientist in Silicon Valley for 5 years. His background is in systems engineering and optimization theory, and he carries that perspective when thinking about data science, biology, culture, and history.
Read more about Shashank Shekhar

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Datasets

Data on bilateral trade flowing between nations fits right into the definition of a dataset with entities and relationships to explore. Katherine Barbieri, University of South Carolina, and Omar Keshk, Ohio State University, maintain a dataset that tracks the flow of trade between nations between 1870 and 2017. Amounts are converted to their equivalent US dollar values as of 2014.

The dataset is available publicly as part of The Correlates of War Project. Here is the link to the project: http://www.correlatesofwar.org/data-sets/bilateral-trade. We will be using version 4.0 of this dataset in this chapter.

The IMF's Direction of Trade Statistics (DOTS) quarterly release shares trade data between nations and is a source from which the project aggregates data. It is important to specify that DOTS includes only the trade value of merchandise (or ready-to-sell goods)...

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Apache Superset Quick Start Guide
Published in: Dec 2018Publisher: ISBN-13: 9781788992244
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Shashank Shekhar

Shashank Shekhar is a data analyst and open source enthusiast. He has contributed to Superset and pymc3 (the Python Bayesian machine learning library), and maintains several public repositories on machine learning and data analysis projects of his own on GitHub. He heads up the data science team at HyperTrack, where he designs and implements machine learning algorithms to obtain insights from movement data. Previously, he worked at Amino on claims data. He has worked as a data scientist in Silicon Valley for 5 years. His background is in systems engineering and optimization theory, and he carries that perspective when thinking about data science, biology, culture, and history.
Read more about Shashank Shekhar

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