Learn how to create a COVID-19 Dashboard like Worldometer Using Dash & Plotly in Python.
What you will learn
Learn how to build Dashboard Using Dash & Plotly in Python
Learn how the Dash Framework works
Learn how to create different components like Dropdowns, Buttons, Bar Plots, Line Plots, Cards.
Learn how various compoents in Dash can interact with each other.
Description
In this course, we will look at how to create a COVID-19 Dashboard that will follow the design and functionality closely of Worldometer Using Dash and Plotly in Python.
We will look at how to create Dashboard which will use the Live Data provided by John Hopkins University, the same source used by Google.
We will be first looking at the Dash Framework, how it works, and what goes behind it.
Dash is an open-source Python framework used for building analytical web applications. It is a powerful library that simplifies the development of data-driven applications. Itβs especially useful for Python data scientists who arenβt very familiar with web development. Users can create amazing dashboards in their browser using dash.
Built on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders and graphs directly to your analytical python code.
Once we are familiar with the Framework, we will build the components of our Dashboard one by one.
We will learn how to create:
1. Dropdowns
2. Indicators
3. Line Plots
4. Tables
5. Geoplots – World & US
6. Radio Buttons
7. Bar Plots
8. Content Cards
Through this practical Dashboard, the course will equip you with all the necessary knowledge to build real-time dashboards using Dash & Plotly.
Content