Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib 3D Scatte

What is the first step in setting up a 3D scatter plot using matplotlib?

• Generate random data points

• Set the marker style

• Define the figure and set the projection to 3D

• Choose the color of the plot

When generating random data for a 3D scatter plot, what parameters are specified for the normal distribution?

• Mean and standard deviation

• Mean and median

• Variance and range

• Mode and standard deviation

How can you change the appearance of points in a 3D scatter plot?

• By changing the axis labels

• By altering the data source

• By adjusting the color and marker style

• By modifying the plot title

What is the purpose of setting an alpha value in a scatter plot?

• To set the color of the points

• To modify the shape of the points

• To change the size of the points

• To adjust the transparency of the points

Which property is NOT typically adjusted when customizing a 3D scatter plot?

• Color

• Alpha value

• Data source

• Marker style

What is a key advantage of 3D plotting in matplotlib?

• It uses fewer resources

• It automatically generates labels

• It requires less data

• The setup is similar to 2D plotting

What is the next topic to be covered after 3D scatter plots in the video series?

• Bar charts

• 2D line plots

• 3D surface plots

• Pie charts