Dabbas Interactive Dashboards and Data Apps with Plotly and Dash

Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
1. Auflage 2021
ISBN: 978-1-80056-035-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 364 Seiten

No detailed description available for "Interactive Dashboards and Data Apps with Plotly and Dash".

Autoren/Hrsg.

Dabbas, Elias

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Overview of the Dash Ecosystem
- Exploring the Structure of a Dash App
- Working with Plotly's Figure Objects
- Data Manipulation and Preparation - Paving the Way to Plotly Express
- Interactively Comparing Values with Bar Charts and Dropdown Menus
- Exploring Variables with Scatter Plots and Filtering Subsets with Sliders
- Exploring Map Plots and Enriching Your Dashboards with Markdown
- Calculating Data Frequency and Building Interactive Tables
- Letting Your Data Speak for Itself with Machine Learning
- Turbo-charge Your Apps with Advanced Callbacks
- URLs and Multi-Page Apps
- Deploying Your App
- Next Steps

Über Autor(innen)

Dabbas Elias:

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.