Welcome to the Plotly tutorial section! Here, you will find a variety of video tutorials that will help you learn how to create interactive visualizations with Plotly. Plotly is a powerful data visualization library that allows you to create a wide range of charts and graphs.

What is Plotly?

Plotly is an interactive graphing library for Python and R. It's built on top of D3.js and allows you to create beautiful, interactive visualizations that can be embedded in web pages or shared via URLs.

Tutorials

Here are some of the Plotly tutorials available on our site:

Example Visualization

Here's a simple scatter plot created with Plotly:

import plotly.graph_objs as go

trace = go.Scatter(
    x=[1, 2, 3, 4, 5],
    y=[1, 6, 3, 6, 1],
    mode='markers',
    marker=dict(
        size=12,
        color='rgb(255, 0, 0)',
        symbol='circle',
        line=dict(
            color='rgba(255, 0, 0, 0.5)',
            width=2
        )
    )
)

data = [trace]

layout = go.Layout(
    title='Scatter Plot Example',
    xaxis=dict(title='X Axis'),
    yaxis=dict(title='Y Axis')
)

fig = go.Figure(data=data, layout=layout)

fig.show()

Scatter Plot Example

For more information on how to create and customize your own visualizations, check out our Plotly documentation.

Conclusion

Plotly is a great tool for creating interactive visualizations. By following our tutorials, you'll be able to create a wide range of charts and graphs that can help you better understand your data.