Data Science With Shafique

Plotly Dash Simple Charts Plotly Dash is a powerful Python framework that allows you to build interactive web applications using Python. It leverages the capabilities of Plotly.js, Flask, and React.js to create visually appealing and highly functional data visualization apps. Plotly Dash provides a user-friendly, streamlined approach for creating data visualizations, dashboards, and analytical tools. One of its core features is the ability to create simple charts that are both visually appealing and easy to customize.  I n this tutorial, we'll delve into the basics of creating simple charts with Plotly Dash.  By the end of this tutorial, you'll have a solid foundation for building simple data visualization using Plotly Dash. Install Required Libraries:  pip install dash plotly Create the App: This script sets up a basic Dash app that displays a bar chart with sample  data. You can customize the data and chart as needed. import dash from dash import dcc fro...

Creating a simple Plotly Dash App Creating a basic  Dash  app in Python is a first step to build interactive web applications for data visualization The code below sets up a basic Dash application with a simple layout containing three headings. import dash import dash_html_components as html app = dash.Dash(__name__) app.layout = html.Div([ html.H1("Main Heading"), html.H2("2nd Heading") ,      html.H3("3rd Heading") # Add other components if needed ]) if __name__ == "__main__":     app.run_server(debug=True) Explanation 1. Importing Libraries import dash import dash_html_components as html In the code above dash is t he main library for creating Dash applications. dash_html_components contains HTML components like   Div ,   H1 ,   H2 , etc. 2. Initializing the Dash App app = dash.Dash(__name__) The above line initializes the Dash app.  __name__  is a special variable in Python that represents the name of ...