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Apache Superset Quick Start Guide : Develop Interactive Visualizations by Creating User-Friendly Dashboards.

Apache Superset is a modern, open source, enterprise-ready Business Intelligence web application. This book will teach you how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on mod...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shekhar, Shashank
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright and Credits; About Packt; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Data Exploration; Datasets; Installing Superset; Sharing Superset; Configuring Superset; Adding a database; Adding a table; Creating a visualization; Uploading a CSV; Configuring the table schema; Customizing the visualization; Making a dashboard; Summary; Chapter 2: Configuring Superset and Using SQL Lab; Setting the web server; Creating the metadata database; Migrating data from SQLite to PostgreSQL; Web server; Gunicorn
  • Setting up an NGINX reverse proxySetting up HTTPS or SSL certification; Flask-AppBuilder permissions; Securing session data; Caching queries; Mapbox access token; Long-running queries; Main configuration file; SQL Lab; Summary; Chapter 3: User Authentication and Permissions; Security features; Setting up OAuth Google sign-in; List Users page; List Base Permissions page; Views/Menus page; List Permissions on Views/Menus pages; Alpha and gamma
  • building blocks for custom roles; Alpha; Gamma; Public; User Statistics page; Action log; Summary; Chapter 4: Visualizing Data in a Column; Dataset
  • Distribution
  • histogramComparison
  • relationship between feature values; Comparison
  • box plots for groups of feature values; Comparison
  • side-by-side visualization of two feature values; Summary statistics
  • headline; Summary; Chapter 5: Comparing Feature Values; Dataset; Comparing multiple time series; Comparing two time series; Identifying differences in trends for two feature values; Summary; Chapter 6: Drawing Connections between Entity Columns; Datasets; Directed force networks; Chord diagrams; Sunburst chart; Sankey's diagram; Partitioning; Summary
  • Chapter 7: Mapping Data That Has Location InformationData; Scatter point; Scatter grid; Arcs; Path; Summary; Chapter 8: Building Dashboards; Charts; Getting started with Superset; Visualizing data in a column; Comparing feature values; Drawing connections between entity columns; Mapping data that has location information; Dashboards; Making a dashboard; Selecting charts; Separating charts into tabs; Headlining sections using titles; Inserting markdown; Organizing charts in the dashboard layout; Separating sections using dividers; Summary; Other Books You May Enjoy; Index