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How to build a simple data visualization web app with Neo4j

Cambridge Intelligence

The styling, where we assign a font icon and color based on the type of node, so comments, questions, answers, tags and users are easy to distinguish from each other. node, b: colours[type].border, border, fbc: colours.transparent, fc: colours[type].label, label, fb: true, fi: { c: colours[type].fi, fi, t: iconConfigs[type].icon,

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Empowering Your App with Streamlit’s New Connections Feature and Interactive Plotly Maps

Towards AI

." ) # Create the visualization fig = go.Figure() marker = [ custom_markers["humidity"] if variable == "humidity" else custom_markers["others"] ] # Add a single scatter mapbox trace with all locations fig.add_trace( go.Scattermapbox( lat=latitudes, lon=longitudes, mode="markers+text", marker=dict( size=20, (..)

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