Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By : Elias Dabbas
Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By: Elias Dabbas

Overview of this book

Plotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.
Table of Contents (18 chapters)
1
Section 1: Building a Dash App
6
Section 2: Adding Functionality to Your App with Real Data
11
Section 3: Taking Your App to the Next Level

Setting up and configuring the web server

We will be using nginx as our web server in this example. You can now stop the app using Ctrl + C from the command line. Alternatively, you can stop your app using the kill command, which requires you to know the ID of the process that is running your app. This is useful if you log in later and have no idea which processes are running, and want to identify the process responsible for your app.

You can run the ps -A process status command from the command line to get all the currently running processes. You can either scroll to find a process whose name contains gunicorn or add a pipe, and search for that process in the previous command's output, as follows:

ps -A | grep gunicorn

Running the preceding command while the app is running gets us the output you see in the following screenshot:

Figure 12.8 – How to find the process IDs for processes containing a certain text pattern

Figure 12.8 – How to find the process IDs for processes containing a certain text pattern

The process IDs...