/python-dashboard

These are the codes and information that will be used within "Creating Interactive Dashboards with Python"

Primary LanguageJupyter Notebook

python-dashboard

These are the codes and extra that will be used within "Data Visualization and Interactive Dashboards with Python"



Purchase

Amazon: https://www.amazon.com/dp/B0BF2TNF9V



Practice Sets

The revenue data can be found here: Revenue Data
The code for the revenue dashboard can be found here: Code
The Covid-19 data can be found here: Covid-19 Data
The code for the Covid-19 dashboard can be found here: Code



Order of Contents

Preface

Acknowledgments

Chapter 1. Python

  1. What is Python?
    1.1. Installing Python
    1.2. Building the Virtual Environment
  2. Jupyter Notebook
  3. Introduction of the Data
    3.1. Revenue Data
    3.2. Public Data (COVID-19 & Vaccination)
  4. The Goal of the Book

Chapter 2. Plotly

  1. What is Plotly?
    1.1. Plotly Inputs
    1.2. Plotly – Inputting Data as Objects
  2. Plotly Basic Chart
    2.1. Bar Chart
    2.2. Scatter & Line Chart
    2.3. Pie Chart
    2.4. Sankey Diagram
  3. Plotly Application Chart
    3.1. Box Plot
    3.2. Histogram
    3.3. Error bar
    3.4. Radar Chart
    3.5. Indicator
    3.6. Maps

Chapter 3. Developing Dashboards

  1. What is Dash?
    1.1. Installing Dash
  2. Dash Structure
    2.1. Layout
    2.2. Callback
    2.3. Dash Auth
  3. Using Dash & Plotly
    3.1. Dashboard (Revenue Data)
    3.2. Dashboard (Public Data: COVID-19 & Vaccination)

Chapter 4. Deploying the Dashboard

  1. GitHub
    1.1. Registering for GitHub and Managing the Repository
    1.2. Installing GitHub Desktop
    1.3. Installing Git
  2. Heroku
    2.1. Registering and Setting up for Heroku
    2.2. Creating Heroku App and Connecting to GitHub
    2.3. Installing Heroku CLI
  3. Preparing to Deploy the Web Dashboard
  4. Deploying the Dashboard

As we come to a close