Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Distribution of the Data

The video tutorial explains how to plot scatter points to visualize data distribution. It covers setting up graph labels for area and price, using the scatter method to plot data points, and customizing the plot with color and marker options. The tutorial concludes by interpreting the graph, suggesting that the data distribution is suitable for a linear regression model as the points trend upwards and to the right.

What optional arguments can be used with the scatter function, and what do they represent?

Based on the plot, what conclusion can be drawn about the distribution of points?