Shekhar Apache Superset Quick Start Guide

Develop interactive visualizations by creating user-friendly dashboards
1. Auflage 2018
ISBN: 978-1-78899-956-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 188 Seiten

No detailed description available for "Apache Superset Quick Start Guide".

Autoren/Hrsg.

Shekhar, Shashank

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

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

Über Autor(innen)

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.