Python Interactive Dashboards with Plotly Dash - Quick Tutorial

An intro to plotly Dash in Python with a real-world dataset example.
Build interactive, nice-looking, easily sharable, and web-based dashboards in Python!

- For better learning of Dash, check out our Udemy course:

- To download the avocado dataset used in the video:

- Try out the dashboard in the video deployed on Heroku:

[justintodata]

Dash has made multiple changes after upgrading to version 2.x.

[teklehaimanotaman]

Very excellent explaination Justin. Thank you very much for the efforts you put to make us understand about the dash layout and callback.

[lfmtube]

Very well-made video. The pacing and the quality of the presentation of all the content is 100% useful, every second. Thanks!

[antonjohansson]

Excellent video! Got my first dashboard up and running thanks to you.

[ollydsouza]

Good stuff - could this be made "live" - like in a real time display of data being generated in real time.

[mkgm]

Such a well composed video tutorial, thank you so much Lianne

[MegaAmged]

This was a great video, Simple and easy to understand.

[digigoliath]

Awesome!!! TQVM!! All new to me. A great introduction video for me!

[shashikantrrathod]

Hi, Your lectures are really useful to create dashboards using plotly dash in efficient way. Just have one questions ? How we can export these dashboards either in PDF or PPT using dash?

[nanosoftitsolutions]

Great video. Please advise on how to cluster data and use mutiple drop drowns. For example grouping the cities by state and then accessing the cities. This would help for a company with a large number of products but need to access data by category first before individual products.

[XuanTran-rihn]

Thank you for the video. It is very helpful :) !

[mladenperkovic]

I am building a desktop app in Python and mySQL which requires some reporting - Dash and Plotly seem to be good choice. Is it possible to add Dash+Plotly as reporting functionality from desktop app (click on button in the app, and web browser opens with reporting tool build in Dash/Plotly) and compile such app into an exe? What I mean is - will the Dash/Plotly functionalities work if I compile such app to exe?

[pranavkumar]

How does the dcc.Graph object know which graph to show? The update_graph function doesn't have an id attached to it

[starkarabil]

such a great work! Thank you thank you thank you...

[raould]

Hi, liked this tutorial. I have run into an error while executing the code. Would you be able to help me please? I am new to plotly/dash and relatively new to Python itself. Thanks.

The error is:
Traceback (most recent call last):

File "dash_example.py", line 26, in <module>
@app.callback(
File DASHBOARDS WITH DASH\venv\lib\site-packages\dash\dash.py", line 1000, in callback
callback_id = self._insert_callback(output, inputs, state, prevent_initial_call)
AttributeError: 'Output' object has no attribute '_insert_callback'

[stkyriakoulisdr]

But how do you make dash update itself every some interval, as data come in?

[azizee]

my chart to produce show the title. where should i look for the problem?

[RobertAlexanderRM]

Thanks a lot for this very we'll explained tutorial. I should only suggest that the "import" would be a lot simpler if written as "from dash import Dash, dcc, html, Input, Output" (and of course the corresponding modified "app = Dash()" line). But my code being identical to yours I am not getting the dropdownbox displayed and in the browser get the following error:
Invalid argument `options` passed into Dropdown with ID "geo-dropdown".
Value provided:
[
{
"label": "Albany",
"value:": "Albany"
},
{
"label": "Atlanta",
"value:": "Atlanta"
},
....
{
"label": "West Tex/New Mexico",
"value:": "West Tex/New Mexico"
}
]
not understanding what's wrong. Any ideas?

[ramkrishnachoudhary]

How to generate dashboard for data from MySQL database????

[gabrielnino]

Can i try this using M1 Apple Silicone?