Develop Data Visualization Interfaces in Python With Dash :

Develop Data Visualization Interfaces in Python With Dash
by:
blow post content copied from  Real Python
click here to view original post


Dash is a popular Python framework for creating interactive data visualization interfaces. With Dash, you build web applications using only Python, without needing advanced web development skills. It integrates seamlessly with technologies like Flask, React.js, and Plotly.js to render user interfaces and generate charts.

By the end of this tutorial, you’ll understand that:

  • Dash is an open-source framework for building data visualization interfaces using Python.
  • Good use cases for Dash include interactive dashboards for data analysis and visualization tasks.
  • You can customize the style of a Dash app using CSS, either inline or with external files.
  • You can deploy Dash applications on PythonAnywhere, a platform offering free hosting for Python web apps.

Dash gives data scientists the ability to showcase their results in interactive web applications. You don’t need to be an expert in web development. In this tutorial, you’ll explore how to create, style, and deploy a Dash application, transforming a basic dashboard into a fully interactive tool.

You can download the source code, data, and resources for the sample application that you’ll make in this tutorial by clicking the link below:

What Is Dash?

Dash is an open-source framework for building data visualization interfaces. Released in 2017 as a Python library, it’s grown to include implementations for R, Julia, and F#. Dash helps data scientists build analytical web applications without requiring advanced web development knowledge.

Three technologies constitute the core of Dash:

  1. Flask supplies the web server functionality.
  2. React.js renders the user interface of the web page.
  3. Plotly.js generates the charts used in your application.

But you don’t have to worry about making all these technologies work together. Dash will do that for you. You just need to write Python, R, Julia, or F# and sprinkle in a bit of CSS.

Plotly, a Canada-based company, built Dash and supports its development. You may know the company from the popular graphing libraries that share its name. The company released Dash as open source under an MIT license, so you can use Dash at no cost.

Plotly also offers a commercial companion to Dash called Dash Enterprise. This paid service provides companies with support services such as hosting, deploying, and handling authentication on Dash applications. But these features live outside of Dash’s open-source ecosystem.

Dash will help you build dashboards quickly. If you’re used to analyzing data or building data visualizations using Python, then Dash will be a useful addition to your toolbox. Here are a few examples of what you can make with Dash:

This is just a tiny sample. If you’d like to see other interesting use cases, then go check out the Dash App Gallery.

If you feel comfortable with the requirements and want to learn how to use Dash in your next project, then continue to the following section!

Get Started With Dash in Python

In this tutorial, you’ll go through the end-to-end process of building a dashboard using Dash. If you follow along with the examples, then you’ll go from a bare-bones dashboard on your local machine to a styled dashboard deployed on PythonAnywhere.

To build the dashboard, you’ll use a dataset of sales and prices of avocados in the United States between 2015 and 2018. Justin Kiggins compiled this dataset using data from the Hass Avocado Board.

How to Set Up Your Local Environment

To develop your app, you’ll need a new directory to store your code and data. You’ll also need a clean Python virtual environment. To create those, execute the commands below, choosing the version that matches your operating system:

Windows PowerShell
PS> mkdir avocado_analytics
PS> cd avocado_analytics
PS> python -m venv venv
PS> venv\Scripts\activate
Shell
$ mkdir avocado_analytics
$ cd avocado_analytics
$ python -m venv venv
$ source venv/bin/activate

Read the full article at https://realpython.com/python-dash/ »


[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]


February 02, 2025 at 07:30PM
Click here for more details...

=============================
The original post is available in Real Python by
this post has been published as it is through automation. Automation script brings all the top bloggers post under a single umbrella.
The purpose of this blog, Follow the top Salesforce bloggers and collect all blogs in a single place through automation.
============================

Salesforce