Mubeen Ali

Create Interactive Dashboards in Python by Plotly Dash

Create interactive data science web dashboards using the Plotly data visualizations library and Dash library in Python.

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$10.00

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5 Students

Description

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.

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What Will You Learn?

Learn how to create plotly charts in dash e.g. line charts, bar charts, pie charts, donut charts, bubble charts, data tables, scattermapbox map charts and others.

Connect multiple inputs with multiple outputs in dash app or dashboard.

Get numeric values on cards and change dynamically with input components.

Create data frames for plotly charts in dash using pandas.

Use of indicators in dash.

Requirements

Basic knowledge of python, pandas and CSS.

Install Anaconda and create python environment in PyCharm or any other text editor.

NFT Certificate

53 Lessons

Intermediate

English

+110 XP

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Curriculum

Course consist of total 7h 48min of content, in total.

Section 1: Introduction to Course

03:52

Introduction to Course

03:52

Section 2: Section 1: Covid - 19 Dashboard in Python by Plotly Dash

3:40:40

Introduction to Covid - 19 Dashboard

01:15

Download Files

Import Datasets links from GitHub Site

04:30

Unpivot the Columns of Datasets in Pandas

09:46

Merging the Data Frames in Pandas

12:31

Create New Column in the Data Frame

02:14

Create the Layout of Dash App

05:13

Add Logo Image in the Dash App Layout

06:48

Style the Logo Image in the App Layout

03:16

Add Title in the Dash App

03:47

Refresh the Date in the Dash App

10:04

Create and Display Data on Cards Part 1

02:55

Create and Display Data on Cards Part 2

15:34

Create and Display Data on Cards Part 3

05:39

Create and Display Data on Cards Part 4

00:47

Create Drop Down List

12:16

Create Indicators (KPIs) Part 1

07:37

Create Indicators (KPIs) Part 2

13:13

Create Indicators (KPIs) Part 3

08:28

Create Indicators (KPIs) Part 4

08:46

Create Donut Chart Part 1

03:46

Create Donut Chart Part 2

12:57

Create Combination of Line and Bar Chart

31:49

Create Scattermapbox Map Chart Part 1

17:23

Create Scattermapbox Map Chart Part 2

12:43

Create Scattermapbox Map Chart Part 3

07:04

Section 3: Section 2: Global Terrorism Dashboard in Python by Plotly Dash

1:31:57

Introduction to Global Terrorism Dashboard

01:54

Create the Title of Dash App

06:59

Create Drop Down List

08:10

Dependent Drop Down List (Chained Callbacks)

08:35

Create Range Slider

05:54

Create Combination of Stack Bar Chart and Line Chart Part 1

10:25

Create Combination of Stack Bar Chart and Line Chart Part 2

05:52

Create Combination of Stack Bar Chart and Line chart Part 3

11:14

Create Pie Chart

10:29

Create Scattermapbox Map Chart Part 1

03:02

Create Scattermapbox Map Chart Part 2

10:23

Create Scattermapbox Map Chart Part 3

09:00

Section 4: Section 3: Sales Dashboard in Python by Plotly Dash

2:31:56

Introduction to Sales Dashboard

01:36

Create the Title of Dash App

06:31

Create Slider in the Dash App

13:43

Create Radio Items

06:21

Create Horizontal Bar Chart 1 (Part 1)

14:24

Create Horizontal Bar Chart 1 (Part 2)

17:25

Create Donut Chart

15:28

Create Line Chart

12:01

Create Metric Part 1

14:22

Create Metric Part 2

05:08

Create Data Table Part 1

03:29

Create Data Table Part 2

15:28

Create Horizontal Bar Chart 2

12:02

Create Bubble chart

13:58

About the Instructor

Mubeen Ali

I have completed master degree in science (applied physics) but now I am teaching Microsoft Excel and Microsoft Power BI online and hundreds of students have enrolled in my courses. I love teaching online as well as I am teaching data analysis and data visualization.

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