nach der Bestellung gedruckt Neuware - Printed after ordering - Build web-based, mobile-friendly analytic apps and interactive dashboards with PythonKey FeaturesDevelop data apps and dashboards without any knowledge of JavaScriptMap different types of data such as integers, floats, and dates to bar charts, scatter plots, and moreCreate controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirementsBook DescriptionPlotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you're getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways.Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it.Next, you'll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them.By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.What you will learnFind out how to run a fully interactive and easy-to-use appConvert your charts to various formats including images and HTML filesUse Plotly Express and the grammar of graphics for easily mapping data to various visual attributesCreate different chart types, such as bar charts, scatter plots, histograms, maps, and moreExpand your app by creating dynamic pages that generate content based on URLsImplement new callbacks to manage charts based on URLs and vice versaWho this book is forThis Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards - and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it's not a prerequisite.Table of ContentsOverview of the Dash EcosystemExploring the Structure of a Dash AppWorking with Plotly's Figure ObjectsData Manipulation and Preparation - Paving the Way to Plotly ExpressInteractively Comparing Values with Bar Charts and Dropdown MenusExploring Variables with Scatter Plots and Filtering Subsets with SlidersExploring Map Plots and Enriching Your Dashboards with MarkdownCalculating Data Frequency and Building Interactive TablesLetting Your Data Speak for Itself with Machine LearningTurbo-charge Your Apps with Advanced CallbacksURLs and Multi-Page AppsDeploying Your AppNext Steps.

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Bibliographic Details

Title: Interactive Dashboards and Data Apps with Plotly and Dash : Harness the power of a fully fledged frontend web framework in Python - no JavaScript required
Publisher: Packt Publishing
Publication Date: 2021
Language: English
ISBN 10: 1800568916
ISBN 13: 9781800568914
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 191 millimeters height by 20 millimeters depth
Weight: 679 grams

About this title

Synopsis

Build web-based, mobile-friendly analytic apps and interactive dashboards with Python

Key Features

Develop data apps and dashboards without any knowledge of JavaScript
Map different types of data such as integers, floats, and dates to bar charts, scatter plots, and more
Create controls and visual elements with multiple inputs and outputs and add functionality to the app as per your requirements

Book Description

Plotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways.

Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it.

Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them.

By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.

What you will learn

Find out how to run a fully interactive and easy-to-use app
Convert your charts to various formats including images and HTML files
Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes
Create different chart types, such as bar charts, scatter plots, histograms, maps, and more
Expand your app by creating dynamic pages that generate content based on URLs
Implement new callbacks to manage charts based on URLs and vice versa

Who this book is for

This Plotly Dash book is for data professionals and data analysts who want to gain a better understanding of their data with the help of different visualizations and dashboards – and without having to use JS. Basic knowledge of the Python programming language and HTML will help you to grasp the concepts covered in this book more effectively, but it’s not a prerequisite.

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

About the Author

Elias Dabbas is an Online marketing expert who owns the company, The Media Supermarket. He has experience in Python open-source development, data visualization, data manipulation, building interactive data apps, and dashboards. He works in Online marketing, SEO, SEM, data science fields. He has experience in building custom dashboards as well as data-driven strategies and implementations for companies in different industries.

"About this title" may belong to another edition of this title.

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