Create Interactive Dashboards in Python by Plotly Dash

In this course, you will learn how to create interactive web based dashboards in python using the plotly data visualizations library and dash library. Now it is easy to create data analytics web dashboards using dash library. We can create dashboards like business intelligence and we can upload these dashboards on live servers. Dash apps or dashboards are easily viewable on all devices as well as on mobile devices. I have used many useful dash input and output components to create interactive dashboards. Input components help us to get specific data from the dataset. Using chained callback, we can create dependent input components.

You will learn in this course the use of following dash input components.

Drop down list (Dependent drop down list)
Range slider
Slider
Radio items

You will learn in this course many chart types.

Bar chart
Line cart
Pie chart
Donut chart
Bubble chart
Indicators
Scatter map box map chart and data table.

You will learn in this course how to create an interactive layout for the dashboard using CSS style sheets. We can create attractive web dashboards using a dash library with CSS properties. We can create columns and rows in dash app or dashboard as well as in html page and design the dashboard layout as android app. After watching video lessons, you will be able to create your own dashboards using dash library.

Note:- I have created extra 24 python dashboards in plotly dash and added in google drive link as for assignments. You can download these dashboards and re-create these yourselves. This will help you to get deep knowledge about the plotly data visualizations library and dash library. Some of the dash input components and graph components that I have not used in the video lessons, you can learn about in assignments. I have used many other dash input components and graph components in assignments.