Note
You can use Plotly to create sophisticated data visualization of complex datasets, including graphs with multiple layers, mixed data visualizations of your own, and more. For more information, read the Plotly docs at .
You can use the real-time feature of the Real-time Data Notebook to interact with your data visualizations in real-time.
Interactive plots are created with the HTML5 Python library Plotly. The Python Plotly API is documented at .
In this example, you are going to create a visualization of the weather data you loaded earlier in the Kaggle Notebooks page. Let's go through the steps in this chapter to create the visualization in a real-time data
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