Apache Superset Quick Start Guide
Develop interactive visualizations by creating user-friendly dashboards
Published on 23. September 2024
188 pages
978-1-78899-956-4 (ISBN)
Description
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
25,56 MB
ISBN-13
978-1-78899-956-4 (9781788999564)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Shashank Shekhar
Apache Superset Quick Start Guide
Develop interactive visualizations by creating user-friendly dashboards
Book
12/2018
Packt Publishing
€39.30
Shipment within 3-4 weeks
Person
Shekhar Shashank :
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.
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.
Content
Table of Contents
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
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
