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Home > Data > Data Visualization > Python Interactive Dashboards with Plotly Dash
Python Interactive Dashboards with Plotly Dash
Python Interactive Dashboards with Plotly Dash

Python Interactive Dashboards with Plotly Dash: Learn to create interactive Python dashboards (data visualizations) using Plotly Dash, with real-world example datasets

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zł221.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Video Sep 2022 5hrs 29mins 1st Edition
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zł221.99
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zł221.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Video Sep 2022 5hrs 29mins 1st Edition
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zł221.99
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Video
zł221.99
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Key benefits

  • Learn how to set up the layout of dashboards with Dash components
  • Make more dynamic dashboards with chained interactive features
  • Use Plotly to create plots including line charts, Choropleth maps

Description

Data visualization is a critical part of data science, in this quick and practical course you will learn how to create a great-looking interactive dashboard with Dash and Python. With this new skill, you will be able to present and share your analysis better with your customers’ executives and the rest of your team. This course is broken down into 5 parts and it is necessary to follow the structure as each part is built on top of the other. The first part is an introduction to Plotly Dash followed by building the layout of dashboards. The third part is how to make dashboards interactive with callbacks, fourth part introduces us to customize the look of dashboards. The last and final part is a business-centric project case study on creating an interactive map dashboard. Throughout the course, you will be using 3 real-world datasets, which are the World Happiness dataset, FIFA Soccer dataset, and US electricity prices to help you learn Dash more. By the end of the course, you will learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries. All resources and code files are placed here: https://github.com/PacktPublishing/Python-Interactive-Dashboards-with-Plotly-Dash

Who is this book for?

This course can be taken by any Python programmer who wants to present their analyses in interactive web-based dashboards.

What you will learn

  • Learn to create a grid layout in dashboards
  • Create interactive graphs that are clickable
  • Create data tables in dashboards
  • Create a dashboard with a navigation bar and cards
  • Learn to add buttons to dashboards
  • Learn the basics of Python with this course

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Sep 30, 2022
Publication date : Nov 26, 2021
Length: 5hrs 29mins
Edition : 1st
Language : English
ISBN-13 : 9781803234267
Category :
Data
Languages :
Python
Concepts :
Data Visualization
Tools :
Dash

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Last updated date : Sep 30, 2022
Publication date : Nov 26, 2021
Length: 5hrs 29mins
Edition : 1st
Language : English
ISBN-13 : 9781803234267
Category :
Data
Languages :
Python
Concepts :
Data Visualization
Tools :
Dash

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Frequently bought together

Python Interactive Dashboards with Plotly Dash
Python Interactive Dashboards with Plotly Dash
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Sep 2022 5hrs 29mins
Full star icon 5 (2)
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Interactive Dashboards and Data Apps with Plotly and Dash
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Total zł 694.97
Python Interactive Dashboards with Plotly Dash
zł221.99
Interactive Dashboards and Data Apps with Plotly and Dash
zł209.99
Hands-On Data Analysis with Pandas
zł262.99
Total zł 694.97 Stars icon

Table of Contents

11 Chapters
Let's Get Started Chevron down icon Chevron up icon
Introduction
Course Overview
Python Crash Course Chevron down icon Chevron up icon
Setting Up Python Environment
Overview of Data Types, Numeric, Define Variables
Strings, Common Functions, and Methods
Lists, Tuples, Sets, Dictionaries, Booleans
If Statements, Loops
Define Functions, Use Packages
Introduction to Plotly Dash Chevron down icon Chevron up icon
What is Dash
Creating Your First Dashboard
Building the Layout of Dashboards Chevron down icon Chevron up icon
HTML Components Overview
Core Components Overview
Making Dashboards Interactive with Callbacks Chevron down icon Chevron up icon
Introduction to Callbacks
Building Callbacks with Single Input and Output
Creating Interactive Plotly Figures
Building Callbacks with Multiple Inputs and Outputs
Chaining Callbacks' Inputs and Outputs
Controlling Callbacks with States (Button)
Capstone Project I Chevron down icon Chevron up icon
Avocado Prices Dashboard Overview
Customizing the Look of Dashboards Chevron down icon Chevron up icon
Customizing with Inline CSS
Customizing with External CSS
Creating a Grid Layout
Building a Navigation Bar
Building a Deck of Cards
Case Study I: Creating an Interactive Map Dashboard Chevron down icon Chevron up icon
Setting Up the Layout: RangeSlider
Setting Up the Layout: Choropleth Map
Setting Up the Layout: DataTable
Adding Callbacks: Update the Map
Adding Callbacks: Update the DataTable
Case Study II: Building a Live Updating Financial Dashboard Chevron down icon Chevron up icon
Setting Up the Layout: Input and Button
Setting Up the Layout: Candlestick and DataTable
Setting Up the Layout: Tabs
Setting Up the Layout: Interval
Adding Callbacks: Live Update the Chart
Adding Callbacks: Live Update the DataTable
Capstone Project II Chevron down icon Chevron up icon
Life Expectancy Dashboard Overview
Bonus Materials Chevron down icon Chevron up icon
Introduction to Jupyter Dash

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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Eric Jul 16, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The instructors, Lianne and Justin, developed an excellent introductory course for Dash and Plotly. Overall, the course is broken down into a series of short videos of no longer than 15. minutes, which really makes learning easier. I would recommend it to everyone who wants to pick up Dashboard development with Python quickly.
Subscriber review Packt
Renzo Jan 01, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
very good course, especially from a mthodology point of view. good mix of doing / following also very focused on the course and not trying to answer ALL questions a newbie probably has, but refers to other material only thing to improve would be being even more consistent with PEP
Subscriber review Packt

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About the author

Profile icon Just Into Data
Just Into Data
Just Into Data is the brainchild of Justin and Lianne. Justin is an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor's degree in computer engineering and a master's degree in statistics. Lianne is an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor's and a master's degree in statistics.
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