Interactive dashboards and data apps with Plotly and Dash :: harness the power of a fully fledged frontend web framework in Python - no JavaScript required /
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 el...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
[2021].
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 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 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. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (xii, 347 pages) : illustrations |
| ISBN: | 9781800560352 1800560354 |
Internformat
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| 520 | |a 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 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 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. | ||
| 505 | 0 | |a 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. | |
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| 650 | 6 | |a Logiciels d'application |x Développement. | |
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| contents | 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. |
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| spelling | Dabbas, Elias, author Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / Elias Dabbas. Birmingham : Packt Publishing, Limited, [2021]. ©2021 1 online resource (xii, 347 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes index. Description based on print version record. 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 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 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. 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. Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Dashboards (Management information systems) http://id.loc.gov/authorities/subjects/sh2005001935 Balanced scorecard (Management) http://id.loc.gov/authorities/subjects/sh2014100186 Logiciels d'application Développement. Visualisation de l'information. Python (Langage de programmation) Tableaux de bord (Gestion) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Visualization. bisacsh COMPUTERS Data Processing. bisacsh Balanced scorecard (Management) fast Application software Development fast Dashboards (Management information systems) fast Information visualization fast Python (Computer program language) fast has work: Interactive Dashboards and Data Apps with Plotly and Dash (Text) https://id.oclc.org/worldcat/entity/E39PCXP8RcpGHq9XJJ3CMjQg8C https://id.oclc.org/worldcat/ontology/hasWork Print version: Dabbas, Elias. Interactive Dashboards and Data Apps with Plotly and Dash. Birmingham : Packt Publishing, Limited, ©2021 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2916827 Volltext |
| spellingShingle | Dabbas, Elias Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / 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. Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Dashboards (Management information systems) http://id.loc.gov/authorities/subjects/sh2005001935 Balanced scorecard (Management) http://id.loc.gov/authorities/subjects/sh2014100186 Logiciels d'application Développement. Visualisation de l'information. Python (Langage de programmation) Tableaux de bord (Gestion) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Visualization. bisacsh COMPUTERS Data Processing. bisacsh Balanced scorecard (Management) fast Application software Development fast Dashboards (Management information systems) fast Information visualization fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh95009362 http://id.loc.gov/authorities/subjects/sh2002000243 http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh2005001935 http://id.loc.gov/authorities/subjects/sh2014100186 |
| 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 / |
| title_auth | Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / |
| title_exact_search | Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / |
| title_full | Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / Elias Dabbas. |
| title_fullStr | Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / Elias Dabbas. |
| title_full_unstemmed | Interactive dashboards and data apps with Plotly and Dash : harness the power of a fully fledged frontend web framework in Python - no JavaScript required / Elias Dabbas. |
| title_short | Interactive dashboards and data apps with Plotly and Dash : |
| title_sort | interactive dashboards and data apps with plotly and dash harness the power of a fully fledged frontend web framework in python no javascript required |
| title_sub | harness the power of a fully fledged frontend web framework in Python - no JavaScript required / |
| topic | Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Dashboards (Management information systems) http://id.loc.gov/authorities/subjects/sh2005001935 Balanced scorecard (Management) http://id.loc.gov/authorities/subjects/sh2014100186 Logiciels d'application Développement. Visualisation de l'information. Python (Langage de programmation) Tableaux de bord (Gestion) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Visualization. bisacsh COMPUTERS Data Processing. bisacsh Balanced scorecard (Management) fast Application software Development fast Dashboards (Management information systems) fast Information visualization fast Python (Computer program language) fast |
| topic_facet | Application software Development. Information visualization. Python (Computer program language) Dashboards (Management information systems) Balanced scorecard (Management) Logiciels d'application Développement. Visualisation de l'information. Python (Langage de programmation) Tableaux de bord (Gestion) COMPUTERS Data Modeling & Design. COMPUTERS Data Visualization. COMPUTERS Data Processing. Application software Development Information visualization |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2916827 |
| work_keys_str_mv | AT dabbaselias interactivedashboardsanddataappswithplotlyanddashharnessthepowerofafullyfledgedfrontendwebframeworkinpythonnojavascriptrequired |