How can I create interactive dashboards using Jupyter Notebook and Plotly?

How can I create interactive dashboards using Jupyter Notebook and Plotly?

You can create interactive dashboards in Jupyter Notebook using Plotly by utilizing the Dash framework. First, install Dash with pip install dash. Then, you can create a simple app by defining your layout and callbacks.

Can you show me a basic example of a Dash app?

Sure! Here's a simple example:

import dash
from dash import dcc, html
import plotly.express as px

app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Graph(
        figure=px.line(x=[1, 2, 3], y=[4, 1, 2], title='Sample Line Chart')
    )
])

if __name__ == '__main__':
    app.run_server(debug=True)

What are some advanced features I can implement in my dashboards?

You can implement features like interactive filters, dropdowns, sliders, and real-time data updates. Dash also supports callbacks to update your graphs dynamically based on user input.

How do I deploy my Dash app?

You can deploy your Dash app using platforms like Heroku, AWS, or even on a local server. Each platform has its own deployment steps, but generally, you'll need to set up a server environment and push your code.