Data Science and Machine Learning (Theory and Projects) A to Z - Plotly for 3D Interactive Plotting: Plotly 3D Interacti

The video tutorial demonstrates how to create and interact with 3D scatter plots using Plotly. It begins with an introduction to 3D plotting, followed by setting up data using numpy's linspace function. The tutorial then guides viewers through the process of creating a scatter plot, customizing its layout and appearance, and finally interacting with the plot to explore its features. The tutorial emphasizes the ease of changing data and color scales to create dynamic visualizations.

What is the main task described in the introduction of the video?

• To learn about bar charts

• To create a 2D line plot

• To replicate a 3D scatter plot from a previous lecture

• To write a report on data visualization

Which function is used to generate 70 values for Z ranging from -10 to 20?

• numpy.arange

• numpy.random

• numpy.zeros

• numpy.linspace

What mathematical function is used to calculate the values for X?

• Tangent of Z

• Cosine of Z

• Logarithm of Z

• Sine of Z

Which Plotly function is used to create a 3D scatter plot?

• go.Scatter

• go.Scatter3D

• go.Bar3D

• go.Line3D

What color scale is used in the plot?

• Solar

• Inferno

• Viridis

• Plasma

What is the purpose of setting the layout in the plot?

• To define the data points

• To customize the appearance and title of the plot

• To calculate the values of X, Y, and Z

• To generate random data

What is highlighted as a key feature of the 3D scatter plot?

• Its use of bar charts

• Its interactive nature

• Its static visualization

• Its ability to display 2D data