Create Interactive and Engaging Scatter Plots with Plotly and Jupyter in Python

Enhance Your Data Visualization Skills: Create Stunning Interactive Scatter Plots with Plotly and Jupyter lab in Python. The simple scatter plot is a fundamental tool for illustrating data, but it's easy to forget just how flexible and versatile this chart type can be. With Plotly and Jupyter, you can bring your scatter plots to life with interactive elements and dynamic visualizations. Whether you're a seasoned data analyst or just starting out, this video will show you how to take your scatter plots to the next level and bring your data to life. Don't miss out on the opportunity to enhance your skills and showcase your data in a more engaging and compelling way. Watch the video now to get started.

[CJP]

Did you watch this on a phone, tablet, or computer?

[unpunnyfuns]

Thank you for this. I have worked with scatter plots like this before (with D3.js), and the opacity trick saved me then. The added histogram though.. *chefs kiss*. Salutations from the frozen wastelands of Norway. :)

[tomkmb]

Hey man, this was a really useful video thanks a lot. I'm currently trying to plot two columns of a dataframe, I'm in a Jupyter Notebook but I've had trouble getting the individual info for each particular dot on the scatter graph to show only when hovered over (it's currently displaying the name of each entry stored in the dot). Yours seems to be doing that as default, is there a trick I'm missing to get that to happen so seamlessly?

[ipseity]

I am getting an error saying,
'PathCollection' object has no property 'marginal_y'
Please help.