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Apache Superset Quick Start Guide

You're reading from  Apache Superset Quick Start Guide

Product type Book
Published in Dec 2018
Publisher
ISBN-13 9781788992244
Pages 188 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Shashank Shekhar Shashank Shekhar
Profile icon Shashank Shekhar
LinkedIn
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.
See other products by Shashank Shekhar

Table of Contents (10) Chapters

Preface Getting Started with Data Exploration Configuring Superset and Using SQL Lab User Authentication and Permissions Visualizing Data in a Column Comparing Feature Values Drawing Connections between Entity Columns Mapping Data That Has Location Information Building Dashboards Other Books You May Enjoy

Summary

That completes our exploration of the page count feature value. By compiling those charts, we have aggregated sufficient charts to make a dashboard that anyone who has questions about the page count feature of the dataset will find useful. In the next chapter, we will compile charts with a view to understanding the relationship between two different feature values instead of just focusing on one.

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Authors (1)

Profile icon Shashank Shekhar
LinkedIn
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
See other products by Shashank Shekhar

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