Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Scatter P

The video tutorial explains how to create and customize scatter plots using Matplotlib and Seaborn. It covers generating random data, setting different colors and sizes for data points, and using alpha blending and color maps. The tutorial also demonstrates using real data from the Iris dataset to create scatter plots, highlighting the use of Seaborn for enhanced data visualization.

What is the primary function used in Matplotlib to create scatter plots?

• PLT line

• PLT scatter

• PLT bar

• PLT pie

Which library function is used to generate random numbers for data points in a scatter plot?

• np.random.rand

• random.random

• np.random.randint

• random.randint

What parameter in PLT scatter is used to set the colors of data points?

• color

• cmap

• alpha

• C

Which parameter controls the transparency of data points in a scatter plot?

• marker

• color

• size

• alpha

What is the purpose of using a color map in a scatter plot?

• To provide a gradient of colors based on data values

• To set the transparency level

• To change the shape of markers

• To adjust the size of data points

Which function is used to load datasets from the Seaborn library?

• sns.fetch_dataset

• sns.import_dataset

• sns.load_dataset

• sns.get_dataset

What error occurs if the 'C' parameter in PLT scatter is not set correctly?

• ValueError

• KeyError

• TypeError

• IndexError

How can you differentiate data points based on categories in a scatter plot?

• By using different plot sizes

• By using different marker shapes

• By using different line styles

• By using different colors

What is the benefit of using the pair plot function in Seaborn?

• It creates a single scatter plot

• It is faster than Matplotlib

• It only works with numerical data

• It generates scatter plots for every pair of attributes

What is the main advantage of using Matplotlib for scatter plots?

• It is faster than other libraries

• It is the only library for plotting in Python

• It offers a wide range of customization options

• It only supports scatter plots