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What is Plotly Dash?
Dash is an open-source Python framework for building interactive web applications for data visualization and analysis. It combines the power of Plotly for creating interactive graphs with the flexibility of Flask for building web applications.
Why Use Dash for Business Intelligence?
- Interactive Data Exploration: Dash allows users to create interactive dashboards that enable them to explore data, filter results, and drill down into details.
- Real-Time Updates: Dash applications can be updated with new data in real-time, providing analysts with up-to-date insights.
- Collaboration: Dash applications can be shared with stakeholders, allowing them to collaborate and make informed decisions.
Building a Simple Dash Dashboard
1. Install Dash and Plotly
pip install dash plotly
2. Create a Python Script
import dash
import dash_core_components as dcc
import dash_html_components as html
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Dropdown(
id='my-dropdown',
options=[{'label': i, 'value': i} for i in ['Option 1', 'Option 2', 'Option 3']],
value='Option 1'
),
dcc.Graph(id='my-graph')
])
@app.callback(
dash.dependencies.Output('my-graph', 'figure'),
[dash.dependencies.Input('my-dropdown', 'value')]
)
def update_graph(selected_dropdown_value):
return {
'data': [{'x': [1, 2, 3], 'y': [4, 1, 2]}]
}
if __name__ == '__main__':
app.run_server(debug=True)
3. Run the Application
python app.py
Explanation:
dash.Dash()
creates a Dash app.app.layout
defines the layout of the dashboard.dcc.Graph()
creates a graph.dcc.Graph()
creates a text output.app.callback()
defines a callback function that updates the graph based on the text output.if __name__ == '__main__':
starts the Dash app.
Additional Tips:
- Use
dcc.Dropdown()
to create dropdown menus. - Use
dcc.Slider()
to create sliders. - Use
dash_table
to create tables. - Refer to the Dash documentation for more components and features.
4. View the Dashboard
Open your web browser and navigate to http://127.0.0.1:8050/
. You should see a dashboard with a dropdown and a graph. Selecting different options from the dropdown will update the graph.
Tips for Junior Data Scientists
- Start with Simple Dashboards: Focus on creating dashboards that address specific business questions and provide actionable insights.
- Use Interactive Features: Leverage Dash’s interactive capabilities to allow users to explore data and filter results.
- Consider Real-Time Data: Integrate Dash with data sources that provide real-time updates to keep your dashboards up-to-date.
- Collaborate with Stakeholders: Share your Dash dashboards with stakeholders to gather feedback and improve decision-making.
Created by Gemini Pro 1.0